OPERATIONAL SAR DATA PROCESSING IN GIS ENVIRONMENTS

FOR RAPID DISASTER MAPPING

A. Meroni a, T. Bahr b

a Exelis Visual Information Solutions, Concorezzo, Italy - alberto.meroni@exelisvis.com

b Exelis Visual Information Solutions GmbH, Gilching, Germany - thomas.bahr@exelisvis.com

KEY WORDS: Public Safety, Disaster Mapping, Change Detection, SAR, Model, COSMO-SkyMed, SARscape, ArcGIS®, IDL

ABSTRACT:

Having access to SAR data can be highly important and critical especially for disaster mapping. Updating a GIS with contemporary

information from SAR data allows to deliver a reliable set of geospatial information to advance civilian operations, e.g. search and

rescue missions. Therefore, we present in this paper the operational processing of SAR data within a GIS environment for rapid

disaster mapping. This is exemplified by the November 2010 flash flood in the Veneto region, Italy. A series of COSMO-SkyMed

acquisitions was processed in ArcGIS® using a single-sensor, multi-mode, multi-temporal approach. The relevant processing steps

were combined using the ArcGIS ModelBuilder to create a new model for rapid disaster mapping in ArcGIS, which can be accessed

both via a desktop and a server environment.

1. INTRODUCTION

The use of SAR data has become increasingly popular in recent

years and in a wide array of industries. Having access to SAR

data can be highly important and critical especially for disaster

management. SAR imaging offers the great advantage, over its

optical counterparts, of not being affected by darkness,

meteorological conditions such as clouds, fog, etc., or smoke

and dust, frequently associated with disaster zones.

Updating a GIS with contemporary information from SAR data

allows to deliver a reliable set of geospatial information to

advance civilian operations, e.g. search and rescue missions.

To solve this requirement, we developed an operational

processing chain for SAR data within a GIS environment,

which can be executed by the responsible operators without

SAR expert knowledge.

For this approach we integrated the SARscape modules for

ENVI with ArcGIS®, eliminating the need to switch between

software packages. Thereby the premier algorithms for SAR

image analysis can be directly accessed from ArcGIS desktop

and server environments. They allow processing and analyzing

SAR data in almost real time and with minimum user

interaction. Thus disaster zones, e.g. after severe flooding, can

be automatically identified and mapped to support local task

forces.

2. CASE STUDY: FLOOD DETECTION WITH HIGH-

RESOLUTION COSMO-SKYMED DATA

The Bacchiglione River burst its banks on Nov. 2nd 2010 after

two days of heavy rainfall throughout the northern Italian region

(GMES Emergency Response Service (Ed.), 2010). The

community of Bovolenta, 22 km SSE of Padova, was covered

by several meters of water. People were requested to stay in

their homes; several roads, highways sections and railroads had

to be closed.

The extent of this flooding is documented by a series of

COSMO-SkyMed acquisitions. COSMO-SkyMed is a

constellation of four X-band Earth observation satellites,

allowing a very frequent coverage, which enables monitoring

using a very high temporal resolution.

For the present case study we focused on a COSMO-SkyMed-2

image acquired at Nov. 5th 2010, i.e. 3 days after the flash flood

(see Figure 1). As a reference we used a COSMO-SkyMed-3

image, acquired at May 9th 2010. Both images were acquired in

StripMap mode and ordered as Detected Ground Multi-look

(DGM) product (Level 1B) with a GSD of 2.5 m and HH

polarization.

Figure 1. COSMO-SkyMed 2, StripMap DGM, Nov. 5th 2010,

“Gaussian DE MAP” filtered, DEM-geocoded & calibrated,

flooded areas overlaid.

© COSMO-SkyMed™ Product - ASI, 2010. All rights reserved.

Distributed by e-GEOS.

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,Volume XL-1/W1, ISPRS Hannover Workshop 2013, 21 – 24 May 2013, Hannover, Germany

245

This data is processed using a single

temporal approach consisting of 3 steps:

Step 1:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

(s

Step 2:

DEM

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

law

Step 3:

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

This data is processed using a single

temporal approach consisting of 3 steps:

Step 1:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

(s

Step 2:

DEM

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

law

Step 3:

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

workflow including the final change detection analysis

"Before Image": May

This data is processed using a single

temporal approach consisting of 3 steps:

Step 1:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

(sarmap S

Step 2:

DEM

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

law

Step 3:

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster

4.

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

Figure

workflow including the final change detection analysis

"Before Image": May

3.

This data is processed using a single

temporal approach consisting of 3 steps:

Step 1:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

armap S

Step 2:

DEM

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

law (s

Step 3:

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster

4.

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

Figure

Figure

workflow including the final change detection analysis

"Before Image": May

3.

This data is processed using a single

temporal approach consisting of 3 steps:

Step 1:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

armap S

Step 2:

DEM

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

(s

Step 3:

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

Figure

Figure

workflow including the final change detection analysis

"Before Image": May

3.

This data is processed using a single

temporal approach consisting of 3 steps:

Step 1:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

armap S

Step 2:

DEM (SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

(sarmap S

Step 3:

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

Figure

Figure

workflow including the final change detection analysis

"Before Image": May

THE

This data is processed using a single

temporal approach consisting of 3 steps:

Step 1:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

armap S

Step 2:

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

armap S

Step 3:

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

Figure

Figure

workflow including the final change detection analysis

"Before Image": May

THE

This data is processed using a single

temporal approach consisting of 3 steps:

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

armap S

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration

armap S

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

and raster-

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

Figure 2

Figure

workflow including the final change detection analysis

"Before Image": May

THE

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

Distribution

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

armap SA

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely d

calibration, which

armap S

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

-to

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

2.

(step 2) of a single

Figure 3

workflow including the final change detection analysis

"Before Image": May

THE

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

Distribution-

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

A

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

precisely determined.

, which

armap S

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

to

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

. ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

3.

workflow including the final change detection analysis

"Before Image": May

THE

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

-E

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

(Ed.)

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

, which

armap S

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

to-vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

. ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

THE SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

Entropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

(Ed.)

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

, which

armap SA

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

(Ed.)

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

, which

A

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

(Ed.), 20

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

, which

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

, 20

The filtered images are geocoded using a reference

(SRTM3v4)

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

, which is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

, 20

The filtered images are geocoded using a reference

(SRTM3v4) without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

, 2012)

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

12)

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

"Before Image": May

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

12)

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined.

is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

9

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

12).

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

etermined. This step includes

is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

9th

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

reduce the speckle effect.

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

This step includes

is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysisth 2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

. In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

This step includes

is carried out by following the radar equation

(Ed.), 2012)

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single

ArcGIS model for

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the

This step includes

is carried out by following the radar equation

(Ed.), 2012).

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data

ArcGIS model for filtering (step 1) and geocoding

(step 2) of a single COSMO

ArcGIS model for

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

Doppler equations. Thus, the map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

in ArcGIS, based on SAR data.

ArcGIS model for filtering (step 1) and geocoding

COSMO

ArcGIS model for

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

vector conversion.

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

COSMO

ArcGIS model for the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

COSMO

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

COSMO

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

COSMO

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

This data is processed using a single-sensor, multi

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

IMPLEMENTATION OF TH

ARCGIS

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

COSMO-

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

sensor, multi

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

IMPLEMENTATION OF THE WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

-SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

sensor, multi

temporal approach consisting of 3 steps:

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

sensor, multi

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING

sensor, multi

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

SAR DATA PROCESSING WORKFLOW

sensor, multi

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

WORKFLOW

sensor, multi

The single images are filtered with a Gamma

ntropy Maximum a Posteriori (DE

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

WORKFLOW

sensor, multi

The single images are filtered with a Gamma

DE

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image":

WORKFLOW

sensor, multi

The single images are filtered with a Gamma

DE

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

This step includes the

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

2010. "After Image": Nov.

WORKFLOW

sensor, multi

The single images are filtered with a Gamma

DE-MAP

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

the

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

Nov.

WORKFLOW

sensor, multi-

The single images are filtered with a Gamma

MAP

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

the

is carried out by following the radar equation

A subsequent change detection analysis generates the

final map showing the extent of the flash flood on Nov. 5

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

Nov.

WORKFLOW

-mode, multi

The single images are filtered with a Gamma

MAP

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

the

is carried out by following the radar equation

A subsequent change detection analysis generates the

Nov. 5

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

These 3 processing steps are combined using the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

Nov.

WORKFLOW

mode, multi

The single images are filtered with a Gamma

MAP

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

the radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the

Nov. 5

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

Nov.

WORKFLOW

mode, multi

The single images are filtered with a Gamma

MAP)

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the

Nov. 5

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

SkyMed image.

the complete SAR processing

workflow including the final change detection analysis

Nov. 5th

WORKFLOW

mode, multi

The single images are filtered with a Gamma

)

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the

Nov. 5

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

the complete SAR processing

(step 3)th

WORKFLOW

mode, multi

The single images are filtered with a Gamma

filter

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the

Nov. 5th

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

the complete SAR processing

(step 3)

2010.

WORKFLOW

mode, multi

The single images are filtered with a Gamma

filter

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the th

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

the complete SAR processing

(step 3)

2010.

WORKFLOW

mode, multi

The single images are filtered with a Gamma

filter

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the

2010

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

the complete SAR processing

(step 3)

2010.

mode, multi

The single images are filtered with a Gamma

filter

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the

2010

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

the complete SAR processing

(step 3)

2010.

mode, multi

The single images are filtered with a Gamma

to

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

A subsequent change detection analysis generates the

2010

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

E WORRKFLOW IN

the ArcGIS

ModelBuilder to create a new model for rapid disaster mapping

ArcGIS model for filtering (step 1) and geocoding

(step 3).

2010.

mode, multi-

The single images are filtered with a Gamma

to

In this way, the restoration of the

local textural properties of the scene does not depend on any

assumption regarding the form of its statistical distribution

The filtered images are geocoded using a reference

without the need of ground control points.

Geocoding is performed by rigorously applying the Range and

map locations for every pixel are

radiometric

is carried out by following the radar equation

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2010

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

the ArcGIS

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.

2010.

The single images are filtered with a Gamma

to

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local textural properties of the scene does not depend on any

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without the need of ground control points.

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map locations for every pixel are

radiometric

is carried out by following the radar equation

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2010

(see Figure 1). This process is customized to the task and

combines band arithmetic, segmentation, morphology filtering,

the ArcGIS

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SkyM

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(May

Figure 3)

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standard functionality from the commercial SARscape Toolbox

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which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

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script file

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region, Italy

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Documentation

G

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

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Figure 3)

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sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

script file

ArcGIS

point procedure stored in an IDL

precompiled IDL code

(Ed.)

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region, Italy

detection analysis with

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forces

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execution

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integrated into any other

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Documentation

GMES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

armap S

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SkyM

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Figure 3)

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sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

script file

ArcGIS

point procedure stored in an IDL

precompiled IDL code

(Ed.)

xemplified by the November 2010 flash flood in the Veneto

region, Italy

detection analysis with

ArcGIS

can be

forces

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execution

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architectur

steps, or to create additional tools from the full complement of

ENVI

integrated into any other

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desktop environment and published to users across the ArcGIS

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Exeli

Documentation

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

armap S

v4.4.003

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SkyM

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(May

Figure 3)

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

script file

ArcGIS

point procedure stored in an IDL

precompiled IDL code

(Ed.)

xemplified by the November 2010 flash flood in the Veneto

region, Italy

detection analysis with

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forces

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execution

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architectur

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ENVI

integrated into any other

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desktop environment and published to users across the ArcGIS

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Exeli

Documentation

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

armap S

v4.4.003

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which is called twice in the main model

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change detection anal

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sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

script file

ArcGIS

point procedure stored in an IDL

precompiled IDL code

(Ed.), 2012)

xemplified by the November 2010 flash flood in the Veneto

region, Italy

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forces.

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execution

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Documentation

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

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standard functionality from the commercial SARscape Toolbox

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change detection analysis (

routines and scripted with

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script file

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point procedure stored in an IDL

precompiled IDL code

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region, Italy

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.

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s Visual Information Solutions (Ed.)

Documentation

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

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routines and scripted with

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script file

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point procedure stored in an IDL

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MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

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standard functionality from the commercial SARscape Toolbox

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change detection analysis (

routines and scripted with

The three tools

script file.

user interface and

point procedure stored in an IDL

precompiled IDL code

2012)

xemplified by the November 2010 flash flood in the Veneto

region, Italy

detection analysis with

toolbox

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execution

knowledge

architectur

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

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the ArcGIS

desktop environment and published to users across the ArcGIS

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s Visual Information Solutions (Ed.)

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MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

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change detection analysis (

routines and scripted with

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.

user interface and

point procedure stored in an IDL

precompiled IDL code

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desktop environment and published to users across the ArcGIS

Server enterprise.

s Visual Information Solutions (Ed.)

Documentation

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

A

Filtering (step 1) and geocoding (step 2) of a single

ed image are

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

This

user interface and

point procedure stored in an IDL

precompiled IDL code

2012).

xemplified by the November 2010 flash flood in the Veneto

region, Italy, w

detection analysis with

toolbox

automatically identified and mapped to support local task

enefits of

by the responsible operators without SAR expert

in a

e platform

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary inform

the ArcGIS

desktop environment and published to users across the ArcGIS

Server enterprise.

s Visual Information Solutions (Ed.)

Documentation

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html

(Ed.)

Filtering (step 1) and geocoding (step 2) of a single

ed image are

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

This

user interface and

point procedure stored in an IDL

precompiled IDL code

.

xemplified by the November 2010 flash flood in the Veneto

, w

detection analysis with

toolbox

automatically identified and mapped to support local task

enefits of

by the responsible operators without SAR expert

in a

e platform

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary inform

model

desktop environment and published to users across the ArcGIS

Server enterprise.

s Visual Information Solutions (Ed.)

Documentation

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Italy_27.html, 24.01.2013.

(Ed.)

Filtering (step 1) and geocoding (step 2) of a single

ed image are

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

This

user interface and

point procedure stored in an IDL

precompiled IDL code

xemplified by the November 2010 flash flood in the Veneto

, we developed

detection analysis with

toolbox

automatically identified and mapped to support local task

enefits of

by the responsible operators without SAR expert

in a

e platform

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary inform

model

desktop environment and published to users across the ArcGIS

Server enterprise.

s Visual Information Solutions (Ed.)

Documentation, ENVI

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

(Ed.)

Filtering (step 1) and geocoding (step 2) of a single

ed image are

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

The three tools

This

user interface and

point procedure stored in an IDL

precompiled IDL code

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with

toolbox.

automatically identified and mapped to support local task

enefits of

by the responsible operators without SAR expert

familiar GIS environment

e platform

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary inform

model

desktop environment and published to users across the ArcGIS

Server enterprise.

s Visual Information Solutions (Ed.)

, ENVI

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

(Ed.)

Filtering (step 1) and geocoding (step 2) of a single

ed image are

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

are

This script file

user interface and

point procedure stored in an IDL

precompiled IDL code

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with

. Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

enefits of

by the responsible operators without SAR expert

familiar GIS environment

e platform

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary inform

model

desktop environment and published to users across the ArcGIS

Server enterprise.

s Visual Information Solutions (Ed.)

, ENVI

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

(Ed.),

Filtering (step 1) and geocoding (step 2) of a single

ed image are

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

are

script file

user interface and

point procedure stored in an IDL

precompiled IDL code

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

enefits of the resulting

by the responsible operators without SAR expert

familiar GIS environment

e platform

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary inform

model

desktop environment and published to users across the ArcGIS

s Visual Information Solutions (Ed.)

, ENVI

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

, 2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

ed image are integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection anal

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

are

script file

user interface and

point procedure stored in an IDL

precompiled IDL code

5.

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

e platform

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary inform

model presented here

desktop environment and published to users across the ArcGIS

s Visual Information Solutions (Ed.)

, ENVI

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

change detection analysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

are implemented in

script file

user interface and

point procedure stored in an IDL

precompiled IDL code

5.

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

e platform IDL

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

contemporary information from

presented here

desktop environment and published to users across the ArcGIS

6.

s Visual Information Solutions (Ed.)

, ENVI

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

implemented in

script file

user interface and

point procedure stored in an IDL

precompiled IDL code

5.

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

IDL

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

ation from

presented here

desktop environment and published to users across the ArcGIS

6.

s Visual Information Solutions (Ed.)

, ENVI v5

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with

implemented in

script file

user interface and

point procedure stored in an IDL

precompiled IDL code

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

IDL

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other

ation from

presented here

desktop environment and published to users across the ArcGIS

s Visual Information Solutions (Ed.)

v5

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (

routines and scripted with the interactive data language

implemented in

script file

user interface and

point procedure stored in an IDL

(Exeli

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

e developed

detection analysis with SAR

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

IDL

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

integrated into any other Arc

ation from

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

v5.0.

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

change detection analysis (step

the interactive data language

implemented in

script file

user interface and

point procedure stored in an IDL

Exeli

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

e developed

SAR

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

IDL allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

Arc

ation from

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

.0.

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

, 24.01.2013.

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

step

the interactive data language

implemented in

retrieves the parameters from the

user interface and invokes the ENVI/IDL

point procedure stored in an IDL

Exeli

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

SAR

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

Arc

ation from

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

.0.

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

step

the interactive data language

implemented in

retrieves the parameters from the

invokes the ENVI/IDL

point procedure stored in an IDL

Exeli

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

SAR

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

ArcGIS models

ation from

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

step

the interactive data language

implemented in

retrieves the parameters from the

invokes the ENVI/IDL

point procedure stored in an IDL

Exelis Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

SAR data

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

ation from

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

integrated in a sub

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

step 3) is based on ENVI processing

the interactive data language

implemented in

retrieves the parameters from the

invokes the ENVI/IDL

point procedure stored in an IDL

s Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

data

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

the resulting

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

ation from

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

in a sub

which is called twice in the main model

2010) and the "after" (

The two process sequences

ysis (step 3).

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

implemented in

retrieves the parameters from the

invokes the ENVI/IDL

point procedure stored in an IDL

s Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

data

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

ation from remotely sensed data.

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

in a sub

which is called twice in the main model

2010) and the "after" (Nov.

The two process sequences

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

implemented in

retrieves the parameters from the

invokes the ENVI/IDL

point procedure stored in an IDL

s Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

data, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

remotely sensed data.

presented here

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

2012. SARscape

Filtering (step 1) and geocoding (step 2) of a single

in a sub

which is called twice in the main model

Nov.

The two process sequences

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

implemented in

retrieves the parameters from the

invokes the ENVI/IDL

point procedure stored in an IDL .sav

s Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

2012. SARscape Documentation

Filtering (step 1) and geocoding (step 2) of a single

in a sub

which is called twice in the main model

Nov.

The two process sequences

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

implemented in

retrieves the parameters from the

invokes the ENVI/IDL

.sav

s Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

in a sub

which is called twice in the main model

Nov.

The two process sequences

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

.sav

s Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

MES Emergency Response Service (Ed.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

in a sub-

which is called twice in the main model

Nov.

The two process sequences

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

.sav

s Visual Information Solutions

CONCLUSION

xemplified by the November 2010 flash flood in the Veneto

an operational

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

Ed.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

-model

which is called twice in the main model,

Nov. 5

The two process sequences converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

file,

s Visual Information Solutions

CONCLUSIONS

xemplified by the November 2010 flash flood in the Veneto

an operational

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

REFERENCES

s Visual Information Solutions (Ed.)

Ed.)

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

model

, both

5th

converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

file,

s Visual Information Solutions

S

xemplified by the November 2010 flash flood in the Veneto

an operational workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

familiar GIS environment.

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS models to

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

s Visual Information Solutions (Ed.)

), 2010.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

model

both th

converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

file,

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

to

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

s Visual Information Solutions (Ed.)

, 2010.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

model

both

2010) image

converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

file,

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

to update

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

s Visual Information Solutions (Ed.)

, 2010.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

model

both

2010) image

converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

file, consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

update

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

s Visual Information Solutions (Ed.),

, 2010.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

(see Figure 2)

both for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

update

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

,

, 2010.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

(see Figure 2)

for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

update

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

, 2012.

, 2010.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

(see Figure 2)

for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

sources: Geocoding & radiometric calibration (step

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

invokes the ENVI/IDL-

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

update

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

2012.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation

Filtering (step 1) and geocoding (step 2) of a single

(see Figure 2)

for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

step

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

-based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

workflow

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

processing chain include

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

update a

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

2012.

http://www.emergencyresponse.eu/gmes/en/event/Floods

Documentation,

Filtering (step 1) and geocoding (step 2) of a single

(see Figure 2)

for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

step

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

for

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

include

by the responsible operators without SAR expert

Moreover,

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

a

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

2012.

http://www.emergencyresponse.eu/gmes/en/event/Floods

, SARscape

Filtering (step 1) and geocoding (step 2) of a single COSMO

(see Figure 2)

for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

step

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

the interactive data language IDL.

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

for

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

include

by the responsible operators without SAR expert

Moreover, the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

a GIS

remotely sensed data.

can be dissolved from its

desktop environment and published to users across the ArcGIS

2012.

http://www.emergencyresponse.eu/gmes/en/event/Floods

SARscape

COSMO

(see Figure 2)

for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

step 2) is a

standard functionality from the commercial SARscape Toolbox

for ArcGIS. This toolbox is extended by the filter tool (step 1

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

IDL.

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

for change

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

include

by the responsible operators without SAR expert

the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS

remotely sensed data. Finally

can be dissolved from its

desktop environment and published to users across the ArcGIS

2012.

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SARscape

COSMO

(see Figure 2)

for the "before"

2010) image

converge in the final

The underlying algorithms are provided by three different

2) is a

standard functionality from the commercial SARscape Toolbox

step 1

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

IDL.

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

change

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

include

by the responsible operators without SAR expert

the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS

Finally

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desktop environment and published to users across the ArcGIS

2012. ENVI

-in

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COSMO

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for the "before"

2010) image

converge in the final

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2) is a

standard functionality from the commercial SARscape Toolbox

step 1

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

IDL.

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

change

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

include

by the responsible operators without SAR expert

the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

GIS with

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desktop environment and published to users across the ArcGIS

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in-

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for the "before"

(see

converge in the final

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2) is a

standard functionality from the commercial SARscape Toolbox

step 1

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

IDL.

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

change

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

include

by the responsible operators without SAR expert

the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

with

Finally

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desktop environment and published to users across the ArcGIS

ENVI

-

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(see Figure 2)

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(see

converge in the final

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2) is a

standard functionality from the commercial SARscape Toolbox

step 1

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

IDL.

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

change

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

its

by the responsible operators without SAR expert

the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

with

Finally

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desktop environment and published to users across the ArcGIS

ENVI

SARscape

COSMO-

(see Figure 2),

for the "before"

(see

converge in the final

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2) is a

standard functionality from the commercial SARscape Toolbox

step 1),

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

change

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

its

by the responsible operators without SAR expert

the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

with

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can be dissolved from its

desktop environment and published to users across the ArcGIS

ENVI

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-

,

for the "before"

(see

converge in the final

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2) is a

standard functionality from the commercial SARscape Toolbox

),

which is called from the SARscape modules in ENVI. The

3) is based on ENVI processing

ArcGIS using a Python

retrieves the parameters from the

based entry

consisting of the

s Visual Information Solutions

xemplified by the November 2010 flash flood in the Veneto

change

, provided as an additional

Thus disaster zones, e.g. after severe flooding,

automatically identified and mapped to support local task

its

by the responsible operators without SAR expert

the open

allows to customize single processing

steps, or to create additional tools from the full complement of

functionality. These image analysis processes can be

with

,

can be dissolved from its

desktop environment and published to users across the ArcGIS

ENVI

SARscape

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,Volume XL-1/W1, ISPRS Hannover Workshop 2013, 21 – 24 May 2013, Hannover, Germany

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