Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land...

44
Overview of LSA SAF products Carla Barroso, IPMA Application of Remote Sensing Data for Drought Monitoring Introduction to Eumetsat LANDSAF Products 11-15 November Slovenia

Transcript of Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land...

Page 1: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Overview of LSA SAF products

Carla Barroso, IPMA

Application of Remote Sensing Data for Drought Monitoring

Introduction to Eumetsat LANDSAF Products

11-15 November Slovenia

Page 2: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

� The LSA SAF

� LSA Products from MSG

� LSA Products from Metop

� Validation of the Products

� Some Applications

OUTLINE

Page 3: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

LSA SAF

� Development of algorithms:

� Land Surface Parameters

from MSG & Metop

observations

� Scientific validation

� Operational production (IPMA)

� Distribution (IPMA)

� User support (IPMA)

LSA SAF – Satellite Application Facility on Land Surface Analysis

LSA SAF is dedicated to:

SAFs - Specialised development and processing centres

that complement the product-oriented activities of

EUMETSAT Central Facility in Darmstadt.

@IPMA

Page 4: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

• Instituto Português do Mar e da Atmosfera (IPMA), Portugal

• Meteo-France (MF), France

• Royal Meteorological Institute (RMI), Belgium

• Karlsruhe Institute of Technology, Germany

• IDL, University of Lisbon, Portugal

• UV, University of Valencia, Spain

• Vito, Belgium

• Kings College, London, United Kingdom

8 Institutions in 6 countries:

The Land SAF Consortium

Page 5: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

• Organisation principles:

• Algorithms developed & validated by one of the partners;

• Algorithms handed over to IPMA for production;

• Operational chain in Lisbon

• Reviewed (~annually) by review panels

• Technical & Scientific

• Check target accuracy of products (user requirements)

Page 6: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Dev. Phase:

Sep 1999

Initial

Operations

Phase:

Feb 2005

Continuous

Development &

Operations Phase:

Mar 2007

Continuous

Development &

Operations Phase 2:

Mar 2012

02 03 04 05 06 07 08 10 11 12 13 14 15 16 17 18 19 20010099

Meteosat-8

(MSG-1)

Meteosat-9

(MSG-2)

MetOp-A

Meteosat-10

(MSG-3)

MetOp-B

Meteosat-11

(MSG-4) MTG-1

MetOp-C

21 22

MTG-S

Page 7: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

• Users (> 500 registered users)

– Numerical Weather Prediction

• Update parameters, Assimilation & Forecast Verification (ECMWF, MF, …)

– Agriculture & Forestry (JRC)

– Research (e.g. AMMA, U. Leicester)

– Environmental Monitoring

– Hydrology

– (...)

• Help desk

• Regular workshops (biennally since 2002; Toulouse) for user feedback and evolution of user requirements

Additional information

Page 8: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

DSSF↓↓↓↓Surface Short-wave Flux

ALBEDO

DSLF↓↓↓↓Surface Long-wave Flux

LSTLand Surface Temperature

LSELand Surface Emissivity

Surface Radiation Budget

LSALSA--SAF: Portfolio SAF: Portfolio -- MSGMSG

Page 9: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

DSSF↓↓↓↓Surface Short-wave Flux

ALBEDO

DSLF↓↓↓↓Surface Long-wave Flux

LSTLand Surface Temperature

Fraction Vegetation Cover

LAIfAPAR

LSELand Surface Emissivity

Surface Radiation Budget Vegetation State

LSALSA--SAF: Portfolio SAF: Portfolio -- MSGMSG

Page 10: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

DSSF↓↓↓↓Surface Short-wave Flux

ALBEDO

DSLF↓↓↓↓Surface Long-wave Flux

LSTLand Surface Temperature

Fraction Vegetation Cover

LAIfAPAR

Evapotranspiration

Reference Evapotranspiration

LSELand Surface Emissivity

Surface Radiation Budget Vegetation State

LSALSA--SAF: Portfolio SAF: Portfolio -- MSGMSG

Water Stress

Page 11: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

DSSF↓↓↓↓Surface Short-wave Flux

ALBEDO

DSLF↓↓↓↓Surface Long-wave Flux

LSTLand Surface Temperature

Fraction Vegetation Cover

LAIfAPAR

Fire Risk MapFire Detection

Fire Radiative Power

Evapotranspiration

Reference Evapotranspiration

LSELand Surface Emissivity

Surface Radiation Budget Vegetation State

Wild Fires

LSALSA--SAF: Portfolio SAF: Portfolio -- MSGMSG

In developmentPre-operational / Internal

Fully operational

Water Stress

Page 12: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Euro

NAfr

SAfrSAme

LSALSA--SAF: Portfolio SAF: Portfolio -- MSGMSG

• Products generated in 4 geog. areas

• 1 file/area & product

• Product layers: main product + Quality Flag + Error Bars.

Page 13: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

LSALSA--SAF: Portfolio SAF: Portfolio -- MSGMSG

• Products generated in 4 geog. areas

• 1 file/area & product

• Product layers: main product + Quality Flag + Error Bars.

• SEVIRI Projection

• Static Lat/Lon raster files availableEuro

NAfr

SAfrSAme

Page 14: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Euro

NAfr

SAfrSAme

LSA-SAF: Portfolio - MSG

• Products generated in 4 geog. areas

• 1 file/area & product

• Product layers: main product + Quality Flag + Error Bars.

• Spatial Resolution

• ~3X3 km at SSPoint (0o,0o)

• Accuracy of 1/3 of a pixel

• SEVIRI Projection

• Static Lat/Lon raster files available

Page 15: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Euro

NAfr

SAfrSAme

LSA-SAF: Portfolio - MSG

• Products generated in 4 geog. areas

• 1 file/area & product

• Product layers: main product + Quality Flag + Error Bars.

• Spatial Resolution

• ~3X3 km at SSPoint (0o,0o)

• Accuracy of 1/3 of a pixel

• SEVIRI Projection

• Static Lat/Lon raster files available

• Documentation

• Annual Validation Reports

• Product Output Format & User Manual

• ATBD http://landsaf.ipma.pt

Page 16: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

NDVI

LSA-SAF: Portfolio - Metop

DSSF↓↓↓↓Surface Short-wave Flux

DSLF↓↓↓↓Surface Long-wave Flux

LSTLand Surface Temperature

LSELand Surface Emissivity

Surface Radiation Budget Vegetation State

Wild Fires

In developmentPre-operational / Internal

Fully operational

Water Stress

Fraction Vegetation Cover

LAIfAPARALBEDO

Page 17: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

PRODUCTS TEMPORAL FREQUENCIES

Page 18: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

DSSF↓↓↓↓Surface Short-wave Flux

ALBEDO

DSLF↓↓↓↓Surface Long-wave Flux

LSTLand Surface Temperature

Fraction Vegetation Cover

LAIfAPAR

Fire Risk MapFire Detection

Fire Radiative Power

Evapotranspiration

Reference Evapotranspiration

LSELand Surface Emissivity

Surface Radiation Budget Vegetation State

Wild Fires

LSA-SAF: Portfolio - MSG

In developmentPre-operational / Internal

Fully operational

Water Stress

15-min

http://landsaf.ipma.pt

1-hour

daily

30-min

30-min

daily

daily

10-day

30-days)10-day

(30-days)

daily

(5-days)daily

(5-days)15 min

daily

Page 19: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

19

Data provided by the Land-SAF

The LSA SAF products are available:

� ftp (https://landsaf.ipma.pt/)

� Download from the LSA SAF website

� helpdesk

� In any case the user must first register on the web page

�EUMETCAST

ACCESS

Page 20: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Validation of Land-SAF Products

� Intercomparison with other satellite derived similar products.

• MODIS

• AATSR

� Comparison with in-situ measurements.

• BSRN (for the fluxes)

• Evora (Southern Portugal, since 2005)

• Namibia, Senegal (end of 2007)

• Field Campaigns (e.g., AMMA)

� Sensitivity studies & assessment of the impact of product

errors on the quality of LSA SAF products (=basis of the error

bars disseminated to users)

Page 21: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Validation of radiative parameters

�Overall SEVIRI LST is warmer than MODIS LST, with night-time systematic differences ranging between 0.5 -1ºC.

Directional Character of remotely sensed LST

< 0 view from East

> 0 view from West

Daytime – Differences depend on viewing angle �Good matching between theLSA SAF and MODIS ALBEDO

Central Africa (Savannah)

Page 22: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Validation of radiative parametersS

ho

rtw

av

eLo

ng

wa

ve

�radiative fluxes within thetarget accuracy for most (> 50%) retrieved values;

�higher discrepancies foundfor cloudy conditions;

Page 23: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

23

Some Examples & Applications

Page 24: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Monthly variation of daily accumulated Solar Radiation ⇒ variation of Sun's apparent position through the year

DSSF Monthly Variation

15 Jan 2009 15 March 2009 15 May 2009

15 July 2009 15 Sep 2009 15 Nov 2009

MAX

MAX

Page 25: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Spectral Spectral AlbedoAlbedo

1.6µm

August 30, 2005

0.8µm0.6µm 1.6µm

Page 26: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

NIR [0.7µm, 4.0µm]

Broadband [0.3µm, 4.0µm]

Visible [0.4µm, 0.7µm]

Visible, Visible, NearNear IR and Broadband IR and Broadband AlbedoAlbedo

August 30, 2005

Page 27: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Snow

Albedo Seasonal Cycle:

Primarily driven by Vegetation & Snow

High Albedo Values over

Deserts

Low Albedo Values

Vegetated Areas

Radiation Products - Albedo

Page 28: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

July 2007

December 2007

Radiation Products - Albedo

Spot the Differences!

?

Page 29: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Lake Kariba

Cabora

Bassa Dam

Okavango

Delta

Malawi

Tanganica

ALBEDO

Page 30: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Radiation Products - Albedo

01 May 2011 Anomaly

Page 31: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

01 May 2011 Anomaly

Signatures of

� Drought ?

� Higher than usual Precipitation?

� Snow anomaly?

Radiation Products - Albedo

Page 32: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

01 May 2011 Anomaly

Signatures of

� Drought ?

� Higher than usual Precipitation?

� Snow Anomaly?

Radiation Products - Albedo

��

��

Precipitation: % of Normal for April 2011 (source: GPCC)

Page 33: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

01 May 2011 Anomaly

Radiation Products - Albedo

Namibia

Heavy Rainfall in May 2011

Source:

http://earthobservatory.nasa.gov/NaturalHazards/view.php?id=50573

Page 34: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

15 November 2011

Cloud’s signature?

Surface Down-welling Long-Wave Radiation

@00 UTC @12 UTC

Page 35: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

15 November 2011

Clear Sky - Cloudy/Partially Cloudy -

@00 UTC @12 UTC

Surface Down-welling Long-Wave Radiation

Page 36: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

FLw↓↓↓↓ in the LSA-SAF - MSG/SEVIRI

Downwelling Surface Longwave Radiation

The variation of longwave radiation through the year allows to know/follow the Intertropical Convergence Zone (ITCZ)

JULY 2010

JAN 2010

Page 37: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

0ccETKET = Reference evapotranspiration (equivalent to the

evapotranspiration from a well defined surface (FAO))

Kc FAO Coefficient

Crop evaporation or crop water need

Important in irrigation management, allowing

an effective use of soil water reserves on agricultural production.

DailyM0DSSF)T(faET ≅

ET0

is essentially determined by solar irradiance:

Reference Evapotranspiration

Page 38: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Water requirements for irrigation crops are higher in July and then diminishes towards November.

July 2009 September 2009 November 2009

Reference Evapotranspiration

Page 39: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Fire Risk Mapping (Europe)

24/07/2007

Courtesy: C. Camara

HIGH values of Fire Risk

Page 40: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

12th September, 2003

Fire Risk Mapping (Europe)

Courtesy: C. Camara

Page 41: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

2010/09/30 08:00 UTC

FRP @ Google Earth

FRP from LSA SAF (MSG-SEVIRI) is derived every 15min (characterization of the diurnal cycle)

Fire Radiative Power

Page 42: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

�Continuity of products/services in NRT

�Plans:

� a toolbox developed by LSA SAF will be available;

� re-processing of some of the products (LST, Albedo, Vegetation

products, FRP, Solar radiation, Evapotranspiration,…);

� processing and dissemination of EPS products: LST, DSLF & NDVI;

In the future also DSSF, Al and vegetation products

Future Perspectives

Page 43: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

http://landsaf.meteo.pt

More on LSA SAF:

Page 44: Overview of LSA SAF products - DMCSEE · 2013. 12. 2. · LSA SAF Development of algorithms: Land Surface Parameters from MSG & Metop observations Scientific validation Operational

Questions/Comments?

[email protected]