A software tool in order to process SAR stripmap data and ... · PSInSAR methodology called...

27th March 2012 Auditorium Via Rieti - Roma

WE EXPLORE THE ENVIRONMENT THROUGH OUR MIND OPEN TO INNOVATIONWE EXPLORE THE ENVIRONMENT THROUGH OUR MIND OPEN TO INNOVATION

COSMO-SkyMed Announcement of Opportunity – Final Workshop

A software tool in order to process SAR stripmap data and calculate the deformation map with

subcentimeter precisionFinal WORKSHOP

Angela LosurdoGeocart - Potenza




RESEARCH PLAN PROJECT AND OBJECTIVES

Surface deformation monitoring from SAR satellite has been fully developed over the last few years thanks to the precious SAR data archives, numerous SAR sensors in orbit (e.g., ERS-2, ENVISAT ASAR, Radarsat, ALOS PALSAR, TerraSAR, Radarsat2) and the progress made in advanced processing techniques (e.g., DInSAR - PSI - SBAS).

GEOCART developed its own multi-temporal PSInSAR methodology called “SLIDE” (Sar Land Interferometry Data Exploitation), in order to produce displacement maps of the territory by processing ERS data.




RESEARCH PLAN PROJECT AND OBJECTIVES

The specific objectives of the project are:

to verify and adapt the “SLIDE” methodology to process CSK data

to apply the “new” SLIDE to different cases (urban percentage, orography, terrain exposition, CR) →guidelines

to study the best solution in terms of feasibility and cost efficiency as for Corner Reflectors to be used as reference measuring points




TEST SITESTwo test sites and two different aims

28 descending Stripmap data (13 July 2010 - 10 September 2011) incidence angle 33° in order to test adapted methodology

“Agri Pollino”

“Potenza”

25 ascending Stripmap data (September 2010 – April 2011) before Corner Reflector installation 44 ascending (April 2011 – February 2012) after Corner Reflector installation

22 Descending Stripmap data

(August 2011 – March 2012) after Corner Reflector installation

incidence angle 48°

In order to use and test innovative elements

“Potenza” Datasets

“Pollino” Dataset




SLIDE FLOW CHART

The main SLIDE’s changes

1. In order to optimize the orbital model module for Cosmo-SkyMed data, a third-order SPLINE interpolation of the State Vectors (SV) has been introduced in theprocedure, so the calculation function of the orbital curve is made by using the SVcalculated and falling into the acquisition interval

2. The X-band data imply a more important orographic error element so it wasnecessary estimate these in preliminary step in order to evaluate successfullyterrain velocities

Cut-outs produced using simple orbital model

Cut-outs produced using SPLINE orbital model




“Agri Pollino” RESULTS

Maratea

Period: July 2010 – July 2011 - 27 dataPeriod: July 2010 – February 2011 - 16 data

Deformation map by “New SLIDE” using different CSK dataset

Less data processed numerous points but less stable velocities





Lagonegro

Period: July 2010 – March 2011 - 19 data Period: July 2010 – September 2011 - 28 data

Deformation map by “New SLIDE” using different csk dataset

Less data processed numerous points but less stable velocities





Maratea: Giardelli subarea

Building 1

Building 2

Building 3

Building 4

1 2

8 7 6

5

43

10 9

v(Pt5-Pt3) = -12mm/year

10 PTs with ERS ~ 340 PTs with COSMO

v = - 17 mm/year

v = - 9 mm/year

v = - 3 mm/year

Period: July 2010 – July 2011

Period: July 1992 – August 2004

Maps produced agree with previous studies





Lauria

~ 950 PTs with ERS ~ 27700 PTs with COSMO

Period: July 2010 – September 2011 - 28 dataPeriod: July 1992 – August 2004 – 52 data

Maps produced agree with previous studies




PASSIVE CORNER REFLECTORS (CRs)

Corner Reflector

ABThe lower frame is the base to support the

upper frame and to anchor the whole system.Four triangular galvanized steel plates (B) perforatedand welded in the inner corners enable it to be fixedthrough headworks or screws

Two prototypes of passive (dihedral and trihedral withsquared plates) CRs were designed and made. Theirstructure consist of two frames manufactured by meansof galvanized iron bars.

The upper frame consists of the aluminum platesand can be tilted to adjust the elevation thanks toa system consisting of guide rails, steel brackets,threaded rods (A).




Thanks to their modular nature the Corner Reflector can be easily installed on both ground and prefabricated roof. In order to install CRs on the ground, we have used headworks with different heights depending on the type of soil





CR Installation on roof

Concrete weight

In order to anchor the CRs on the roof we have used concrete weight stuck on surface with a high performance elastic polyurethane resin adhesive

Polyurethane resin adhesive





CR SITES

SITE ID Aspect

AverageSlope

(%)Zoning

TR1

South-South East 15%

residential zone in extra-urban area

TR2 South 15%residential zone in extra-urban area

TR3

South-South East 14%


TR4 FLAT 0%rural zone with a lake

nearby

TR5 West 13%residential zone in extra-urban area

TR6 FLAT 0% industrial zone

TR7 FLAT 0% industrial zone

TR8

East -South East 18%


DR1East/Noth East 12%

Residential zone in extra-urban area

DR2 FLAT 0% rural zone

CR SITES




RCS values of the Corner Reflectors

08.06.201102.04.2011

RCS loss due to thehigh vegetation cover





?The inspection didnot reveal any cause

28.09.2011





15.02.2012

15.02.2012

15.02.20120

RCS loss due to heavysnowfall




ASCENDING CR RESULTS

The data processing on CR sites: cut-outs and velocities

SITE ID

Velocità (mm/year)

Coherence (0-1)

AverageElevation

(m)Zoning

TR1 -48 0.4 780Varco D’Izzo Zone

(East)

TR2 +3 0.99 778Varco D’Izzo Zone

(West)

TR3 -10 0.4 749Varco D’Izzo Zone

(East)

TR4 0 0.87 816rural zone with a

lake nearby

TR5 - 4 0.98 865Varco D’Izzo Zone

(West)

TR6 0 0.99 828 industrial zone

TR7 -25 0.94 838 industrial zone

DR1 +34 0.97 834residential zone in extra-urban area

DR2 -14 0.91 818rural zone with a

lake nearby





CR in Industrial Zone : TR6 - TR7

TR6: Trihedral Reflectors installed on a roof of a prefabricated building; v = 0 mm/year

31 March 2011





CR in Industrial Zone : TR6 - TR7

TR7: Trihedral Reflectors installed on topsoil; v = -25 mm/year (compacted by rainfalls)

16 March 2012





CRs in rural zone with a lake nearby: TR4 – DR2

DR2: Dihedral Reflectors installed on ground fill;v = -14 mm/year (ground compacted by precipitation)

01 April 2011 2011 March 2012





CRs in rural zone with a lake nearby: TR4 – DR2

TR4: Trihedral Reflectors installed on a farmland; v = 0 mm/year

28 March 2011





CR in residential zone in extra-urban area: DR1

Swelling of the soil is typical of a sandy-clay soil during a period characterized by heavy rainfall





CRs in Potenza’s subarea (Varco D’Izzo): TR1-TR3,TR2-TR5

SITE ID

Velocities (mm/year) Coherence

TR1 -48 0.4

TR2 +3 0.99

TR3 -10 0.4

TR5 - 4 0.98

The velocities on TR2,TR5 were estimated.

SLIDE failed tocalculate velocities onTR1-TR3. Why?




TR 3TR 1

Mean Image on 39 data

ASCENDING CR RESULTS: Varco D’Izzo (East)

10.04.2011 - 16.02.2012 10.04.2011 - 02.02.2012

TR1 TR3 TR1 TR3

MEAN 30,80 30,22 31,39 30,49

STD 3,75 2,18 0,98 1,22




CRs on “Varco d’Izzo” ZoneASCENDING CR RESULTS: Varco D’Izzo (East)

Hydro-geological risk areas affecting CR sites in Varco D’Izzo.

Ascending risk level from R1 (green), R2 (yellow), R3 (orange) and R4 (red). From The Hydro-geological Management Plan (PAI - “Piano per l’Assetto Idrogeologico”).




CRs on “Varco d’Izzo” ZoneASCENDING CR RESULTS: Varco D’Izzo (East)




CRs installed “Varco d’Izzo” Zone




CRs installed “Varco d’Izzo” Zone

GPS STATION

Perhaps the velocity model (linear) is not adapted on this site




CONCLUSIONS

SLIDE is adapted to COSMOSkymed use

The thickness of the PTs (with COSMO data) increased by 30 times respect to ERS case

The designs of the Trihedral as Dihedral Reflector were revealed consistent to expected objective

For CR installation on soil, it is important to evaluate type of soil to decide features of headworks in order to estimate significant deformation

Geologists and geotechnical engineerings have helped us to understand the CR velocities.

A software tool in order to process SAR stripmap data and ... · PSInSAR methodology called...

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