SlideShare ist ein Scribd-Unternehmen logo
1 von 46
Monitoring SMOS brightness temperatures at global scale. A preliminary overall quality assessment   Thanks to: ECMWF operations team, Matthias Drusch (ESA/ESTEC), Susanne Mecklenburg (ESA/ESRIN), Steven Delwart (ESA/ESTEC), Norrie Wright(ESA/ESRIN), Philippe Richaume (CESBIO).   Joaquín Muñoz Sabater   Anne Fouilloux,   Patricia de Rosnay,    Mohamed Dahoui
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Main objectives ,[object Object],[object Object],[object Object],Observed TB (OBS) ‏ Modelled  TB (FG) ‏ Passive  monitoring First Guess (FG) departures
Main objectives ,[object Object],[object Object],Soil moisture first-guess of j layer by ECMWF land surface scheme Background error matrix; a-priori knowledge of soil moisture variances Linearised version of the  observation operator   CMEM  by small perturbations of the initial moisture state Soil layer defined in H-TESSEL  Observation error matrix    inputs provided by monitoring statistics Multi-angular, multi-polarised SMOS TB observations w a,j = w b,j  + (B -1 +H T R -1 H) -1   H T  R -1  (TB 0  - H[w b,j ] ) ‏
Implementing SMOS data in the IFS. First version ODB: Observations Data Base used by the Integrated Forecasting System
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Main obstacles (and challenges) in the implementation
L1C-NRT BUFR product Convert to L1C-NRT  ECMWF BUFR product ,[object Object],[object Object],[object Object],[object Object],ESAC MARS ECFS Store in ECMWF archives Computations in model space  (gp_model) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],BUFR files Mapping and load data to ODB tables  ODB data passive monitoring of L1C TB over land & sea ,[object Object],[object Object],[object Object],[object Object],T atm ε Distribution per processor and grid point Implementing SMOS data in the IFS. New version
$Instrument_$SensingTime1_$SensingTime2_$Satellite_$orbit_$datatype_$GeneratingTime_$datalevel.bufr NRT latency – December 2009
NRT latency – Jan-Feb-Mar-Apr 2010 January February March April
NRT latency –  May-June-July 2010 May June July
[object Object],[object Object],[object Object],[object Object],[object Object],SMOS data pre-processing
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Observations monitoring  ,[object Object],[object Object],[object Object],[object Object],[object Object]
TBxx TByy 20-Nov-09 20-Dec-09 16-Jan-10 Θ = 40° NRT NRT
Monitoring observations – Urulu (Australia) TBV
First - guess First-guess    CMEM initial config  ,[object Object],[object Object],[object Object],[object Object],dielectric  Wang effect. temp Choudhury smooth surface Fresnel roughness Choudhury vegetation Kirdyashev atmosphere Pellarin
First-guess departures  (obs - model) ‏ H-pol V-pol ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
First-guess departures (obs – model) ‏ H-pol FG departures Orography Case Study:  22 January 2010 FG departures > 75K
First-guess departures (obs – model) ‏ H-pol FG departures incidence angle Case Study:  22 January 2010 FG departures < -100K
First-guess departures  V-pol Case Study:  22 January 2010 -25 K < FG departures < 25 K
Preliminary assessment of main FG departures  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Global statistics over land  Average of Observations, TBH polarisation, spatial resolution 0.25 °   01-07 June
Global statistics over oceans Average of Observations, TBV polarisation, spatial resolution 1°  01-07 April Incidence angle 46-48°
Global statistics over oceans  Number of Observations per grid square, TBV polarisation, spatial resolution 1°  01-07 April Incidence angle 46-48°
Histogram of departures over oceans ,[object Object],[object Object],[object Object],[object Object],Observations – First_guess
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Global statistics: standard monitoring maps  Areas affected by RFI    large STD of TB
Global statistics: Standard monitoring maps  Map of Mean First Guess Departure over land (Obs – Model) 01-07 March
Global statistics : Standard monitoring maps  Map of Mean First Guess Departure over land (Obs – Model) 01-07 April
Global  statistics: Standard monitoring maps  Map of Mean First Guess Departure over land (Obs – Model) 03-10 May
Global statistics: Standard monitoring maps  ,[object Object],[object Object],Map of STD of  First Guess Departure over land (Obs – Model) 01-07 March
[object Object],[object Object],[object Object],[object Object],Global statistics: Standard monitoring  Hovmoeller Diagrams
Global statistics: Time Series  ,[object Object],[object Object],[object Object],[object Object],[object Object],Routine production of time series in different geographical areas  Global (land),  01-06 Jun-2010  (30 ° - 35 ° ) ‏ TB ‏ H TBV ‏
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Summary
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Current and future activities
Thanks   !
Back-up slides
Faraday Effect over land  H_pol TBH with Faraday – TBH without Faraday
Faraday Effect over land  TBH with Faraday – TBH without Faraday V_pol
Observations monitoring – Sea West Coast Australia  TBxx TByy
Monitoring observations – Urulu (Australia) TBxx TByy
Monitoring observations – Urulu (Australia) TBV TBH
Global statistics: Standard monitoring maps  Map of STD of  First Guess Departure over land (Obs – Model) 01-07 March
[object Object],[object Object],[object Object],[object Object],Global statistics: Standard monitoring  Hovmoeller Diagrams
Global statistics: Time Series  Routine production of time series in different geographical areas  Global area,  02-09 May-2010  (H-pol) ‏ ,[object Object],[object Object],[object Object],[object Object],[object Object]
Global statistics over oceans  Standard deviation of Observations, TBV polarisation, spatial resolution 1°  01-07 April Incidence angle 46-48°

Weitere ähnliche Inhalte

Was ist angesagt?

FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...
FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...
FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...
grssieee
 
aft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt
aft_4_Luojus_GlobSnow_IGARSS_2011_final.pptaft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt
aft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt
grssieee
 
IGARSS2011_05072011_HO.ppt
IGARSS2011_05072011_HO.pptIGARSS2011_05072011_HO.ppt
IGARSS2011_05072011_HO.ppt
grssieee
 
Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)
Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)
Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)
Achmad Darul
 

Was ist angesagt? (20)

Data-driven wildfire spread modeling - Extension to cases with complex terrai...
Data-driven wildfire spread modeling - Extension to cases with complex terrai...Data-driven wildfire spread modeling - Extension to cases with complex terrai...
Data-driven wildfire spread modeling - Extension to cases with complex terrai...
 
FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...
FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...
FR4.L09 - QUANTITATIVE ASSESSMENT ON THE REQUIREMENTS OF DESDYNI MISSION FOR ...
 
aft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt
aft_4_Luojus_GlobSnow_IGARSS_2011_final.pptaft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt
aft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt
 
AAS National Conference 2008: Gary Davis
AAS National Conference 2008: Gary DavisAAS National Conference 2008: Gary Davis
AAS National Conference 2008: Gary Davis
 
First step towards data-driven wildfire spread modeling
First step towards data-driven wildfire spread modeling First step towards data-driven wildfire spread modeling
First step towards data-driven wildfire spread modeling
 
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
 
IGARSS2011_05072011_HO.ppt
IGARSS2011_05072011_HO.pptIGARSS2011_05072011_HO.ppt
IGARSS2011_05072011_HO.ppt
 
Poster_jayson_v3
Poster_jayson_v3Poster_jayson_v3
Poster_jayson_v3
 
Hyperspectral Imagery for Environmental Mapping and Monitoring
Hyperspectral Imagery for Environmental Mapping and MonitoringHyperspectral Imagery for Environmental Mapping and Monitoring
Hyperspectral Imagery for Environmental Mapping and Monitoring
 
Vegetation monitoring using gpm data over mongolia
Vegetation  monitoring using gpm data over mongoliaVegetation  monitoring using gpm data over mongolia
Vegetation monitoring using gpm data over mongolia
 
An open source framework for processing daily satellite images (AVHRR) over l...
An open source framework for processing daily satellite images (AVHRR) over l...An open source framework for processing daily satellite images (AVHRR) over l...
An open source framework for processing daily satellite images (AVHRR) over l...
 
Landsat calibration summary_rse
Landsat calibration summary_rseLandsat calibration summary_rse
Landsat calibration summary_rse
 
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
Inter-sensor comparison of lake surface temperatures derived from MODIS, AVHR...
 
Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)
Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)
Karakterisasi Letusan Merapi menggunakan Data SAR (Synthetic Aperture Radar)
 
Development of a Java-based application for environmental remote sensing data...
Development of a Java-based application for environmental remote sensing data...Development of a Java-based application for environmental remote sensing data...
Development of a Java-based application for environmental remote sensing data...
 
Assessment of the Accuracy of Processing GPS Static Baselines Up To 40 Km Us...
Assessment of the Accuracy of Processing GPS Static Baselines  Up To 40 Km Us...Assessment of the Accuracy of Processing GPS Static Baselines  Up To 40 Km Us...
Assessment of the Accuracy of Processing GPS Static Baselines Up To 40 Km Us...
 
Developing Fuzzy Inference System of the Observed Albireo Star’s Trail using ...
Developing Fuzzy Inference System of the Observed Albireo Star’s Trail using ...Developing Fuzzy Inference System of the Observed Albireo Star’s Trail using ...
Developing Fuzzy Inference System of the Observed Albireo Star’s Trail using ...
 
Chronological Calibration Methods for Landsat Satellite Images
Chronological Calibration Methods for Landsat Satellite Images Chronological Calibration Methods for Landsat Satellite Images
Chronological Calibration Methods for Landsat Satellite Images
 
Accuracy improvement of gnss and real time kinematic using egyptian network a...
Accuracy improvement of gnss and real time kinematic using egyptian network a...Accuracy improvement of gnss and real time kinematic using egyptian network a...
Accuracy improvement of gnss and real time kinematic using egyptian network a...
 
0411 Spec Nat Assess Tmp
0411 Spec Nat Assess Tmp0411 Spec Nat Assess Tmp
0411 Spec Nat Assess Tmp
 

Andere mochten auch (6)

Remote sensing of biophysical parameters: linking field, airborne and contine...
Remote sensing of biophysical parameters: linking field, airborne and contine...Remote sensing of biophysical parameters: linking field, airborne and contine...
Remote sensing of biophysical parameters: linking field, airborne and contine...
 
The potential use of theos satellite image for land use survey
The potential use of theos satellite image for land use surveyThe potential use of theos satellite image for land use survey
The potential use of theos satellite image for land use survey
 
Satellite Image Data Service
Satellite Image Data ServiceSatellite Image Data Service
Satellite Image Data Service
 
Satellite Image
Satellite Image Satellite Image
Satellite Image
 
Satellite image processing
Satellite image processingSatellite image processing
Satellite image processing
 
Relation between Ground-based Soil Moisture and Satellite Image-based NDVI
Relation between Ground-based Soil Moisture and Satellite Image-based NDVIRelation between Ground-based Soil Moisture and Satellite Image-based NDVI
Relation between Ground-based Soil Moisture and Satellite Image-based NDVI
 

Ähnlich wie FR2.L10.1: MONITORING SMOS BRIGHTNESS TEMPERATURES AT GLOBAL SCALE. A PRELIMINARY OVERALL QUALITY ASSESSMENT.

TU1.L10 - Globwave and applications of global satellite wave observations
TU1.L10 - Globwave and applications of global satellite wave observationsTU1.L10 - Globwave and applications of global satellite wave observations
TU1.L10 - Globwave and applications of global satellite wave observations
grssieee
 
4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptx4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptx
grssieee
 
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATION
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATIONWE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATION
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATION
grssieee
 
FR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LAND
FR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LANDFR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LAND
FR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LAND
grssieee
 
1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx
grssieee
 
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...
Rudolf Husar
 
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
Rudolf Husar
 
IGARSS 2011 - TU4.T05 Clement ALBINET.ppt
IGARSS 2011 - TU4.T05 Clement ALBINET.pptIGARSS 2011 - TU4.T05 Clement ALBINET.ppt
IGARSS 2011 - TU4.T05 Clement ALBINET.ppt
grssieee
 
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONSTU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
grssieee
 

Ähnlich wie FR2.L10.1: MONITORING SMOS BRIGHTNESS TEMPERATURES AT GLOBAL SCALE. A PRELIMINARY OVERALL QUALITY ASSESSMENT. (20)

CAMS General Assembly EUMETSAT
CAMS General Assembly EUMETSATCAMS General Assembly EUMETSAT
CAMS General Assembly EUMETSAT
 
Free GIS Software meets zoonotic diseases: From raw data to ecological indica...
Free GIS Software meets zoonotic diseases: From raw data to ecological indica...Free GIS Software meets zoonotic diseases: From raw data to ecological indica...
Free GIS Software meets zoonotic diseases: From raw data to ecological indica...
 
TU1.L10 - Globwave and applications of global satellite wave observations
TU1.L10 - Globwave and applications of global satellite wave observationsTU1.L10 - Globwave and applications of global satellite wave observations
TU1.L10 - Globwave and applications of global satellite wave observations
 
4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptx4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptx
 
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATION
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATIONWE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATION
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATION
 
presentation 2
presentation 2presentation 2
presentation 2
 
My Ocean Breve
My Ocean BreveMy Ocean Breve
My Ocean Breve
 
FR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LAND
FR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LANDFR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LAND
FR1.L10.1: OVERVIEW OF SMOS RETRIEVALS OVER LAND
 
The Role of Semantics in Harmonizing YOPP Observation and Model Data
The Role of Semantics in Harmonizing YOPP Observation and Model DataThe Role of Semantics in Harmonizing YOPP Observation and Model Data
The Role of Semantics in Harmonizing YOPP Observation and Model Data
 
WindSight Validation (March 2011)
WindSight Validation (March 2011)WindSight Validation (March 2011)
WindSight Validation (March 2011)
 
Francisco J. Doblas-Big Data y cambio climático
Francisco J. Doblas-Big Data y cambio climáticoFrancisco J. Doblas-Big Data y cambio climático
Francisco J. Doblas-Big Data y cambio climático
 
EcoTas13 BradEvans e-MAST
EcoTas13 BradEvans e-MASTEcoTas13 BradEvans e-MAST
EcoTas13 BradEvans e-MAST
 
1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx
 
0411 Spec Nat Assess
0411 Spec Nat Assess0411 Spec Nat Assess
0411 Spec Nat Assess
 
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...
 
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)
 
Deriving environmental indicators from massive spatial time series using open...
Deriving environmental indicators from massive spatial time series using open...Deriving environmental indicators from massive spatial time series using open...
Deriving environmental indicators from massive spatial time series using open...
 
solar power forecasting with weather data
solar power forecasting with weather datasolar power forecasting with weather data
solar power forecasting with weather data
 
IGARSS 2011 - TU4.T05 Clement ALBINET.ppt
IGARSS 2011 - TU4.T05 Clement ALBINET.pptIGARSS 2011 - TU4.T05 Clement ALBINET.ppt
IGARSS 2011 - TU4.T05 Clement ALBINET.ppt
 
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONSTU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
 

Mehr von grssieee

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
grssieee
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
grssieee
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
grssieee
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
grssieee
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
grssieee
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
grssieee
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
grssieee
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animations
grssieee
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf
grssieee
 
DLR open house
DLR open houseDLR open house
DLR open house
grssieee
 
DLR open house
DLR open houseDLR open house
DLR open house
grssieee
 
DLR open house
DLR open houseDLR open house
DLR open house
grssieee
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.ppt
grssieee
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.ppt
grssieee
 

Mehr von grssieee (20)

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
Test
TestTest
Test
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animations
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.ppt
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.ppt
 

FR2.L10.1: MONITORING SMOS BRIGHTNESS TEMPERATURES AT GLOBAL SCALE. A PRELIMINARY OVERALL QUALITY ASSESSMENT.