SlideShare ist ein Scribd-Unternehmen logo
1 von 23
SMOS Soil Moisture Validation With U.S. In Situ Networks T. J. Jackson, R. Bindlish, M. Cosh, and T. Zhao USDA ARS Hydrology and Remote Sensing Lab Beltsville. MD 20705 USA [email_address] July 25, 2011
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
USDA ARS Watershed Networks ,[object Object],[object Object],[object Object],[object Object],AZ-WG  OK-LW  GA-LR  ID-RC
Role of AMSR-E in Validating SMOS Soil Moisture Products ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SMOS Validation Results ,[object Object],[object Object],[object Object],[object Object],[object Object]
SMOS Validation  (Jan. 2010-May 2011)
SMOS Algorithm Performance  (Jan. 2010-May 2011)  ,[object Object],[object Object],[object Object],Watershed Product SMOS Asc. 0600 SMOS Dsc. 1800 RMSE Bias R N RMSE Bias R N Walnut Gulch, AZ SMOS 0.033 -0.003 0.826 184 0.030 0.002 0.758 222 Little Washita, OK SMOS 0.041 -0.001 0.780 188 0.043 -0.007 0.792 194 Little River,  GA SMOS 0.053 0.030 0.716 205 0.082 0.061 0.577 212 Reynolds Creek, ID SMOS 0.039 -0.023 0.152 51 0.045 -0.016 0.136 42 RMSE (Root mean square error), and Bias are in m 3 /m 3 . R=Linear correlation coefficient, N=Number of samples
SMOS Validation: AMSR-E Benchmark  SMOS exhibited overestimation that we did not encounter with AMSR-E….why?
SMOS and AMSR-E SCA Algorithm Performance (Jan. 2010-May 2011).  ,[object Object],Watershed Product SMOS Asc. 0600 AMSR-E Dsc 0130 SMOS Dsc. 1800 AMSR-E Asc. 1330 RMSE Bias R N RMSE Bias R N Walnut Gulch, AZ SMOS 0.033 -0.003 0.826 184 0.030 0.002 0.758 222 AMSR-E 0.026 -0.016 0.505 292 0.032 -0.022 0.479 350 Little Washita, OK SMOS 0.041 -0.001 0.780 188 0.043 -0.007 0.792 194 AMSR-E 0.057 -0.033 0.530 321 0.058 -0.036 0.650 366 Little River,  GA SMOS 0.053 0.030 0.716 205 0.082 0.061 0.577 212 AMSR-E 0.051 0.036 0.501 317 0.037 0.020 0.717 346 Reynolds Creek, ID SMOS 0.039 -0.023 0.152 51 0.045 -0.016 0.136 42 AMSR-E 0.041 -0.035 0.172 74 0.044 -0.039 0.045 76 RMSE (Root mean square error), and Bias are in m 3 /m 3 . R=Linear correlation coefficient, N=Number of samples
General Comments on SMOS Soil Moisture Retrievals ,[object Object],[object Object],[object Object],[object Object]
A Closer Look at WG ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],WG Temporal Plots of SMOS and In Situ Soil Moisture and Antecedent Precipitation (Rain Gage) (Asc.)
Possible Impacts of Precipitation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Apply a Precipitation Flag? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Effect of Precipitation Flagging on SMOS Soil Moisture Algorithm Performance Watershed Flag SMOS Asc. 0600 SMOS Des. 1800 RMSE Bias R N RMSE Bias R N Walnut Gulch, AZ None 0.033 -0.003 0.826 184 0.030 0.002 0.758 222 ECMWF 0.029 -0.007 0.749 170 0.023 -0.003 0.744 199 Active Rain 0.030 -0.006 0.834 177 0.022 -0.005 0.726 180 6-Hour Ant. 0.022 -0.011 0.714 162 0.021 -0.005 0.728 169 RMSE (Root mean square error), and Bias are in m 3 /m 3 . R=Linear correlation coefficient, N=Number of samples. 6-Hour Ant.=6-Hour Antecedent
Vegetation Parameter Tau ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Walnut Gulch Watershed
[object Object],[object Object],[object Object],Little Washita Watershed
[object Object],[object Object],[object Object],Little River Watershed
[object Object],Comparison of Tau Retrieved by SMOS (Asc.) and Estimated from MODIS NDVI  (Jan. 2010-May 2011) Watershed SMOS Tau MODIS estimated Tau Walnut Gulch, AZ 0.19 0.06 Little Washita, OK 0.21 0.11 Little River,  GA 0.30 0.14 Reynolds Creek, ID 0.22 0.08
Assessment of the SMOS Tau ,[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SMOS FOV ,[object Object],[object Object],[object Object],[object Object]

Weitere ähnliche Inhalte

Andere mochten auch

Constructing a long time series of soil moisture using SMOS data with statist...
Constructing a long time series of soil moisture using SMOS data with statist...Constructing a long time series of soil moisture using SMOS data with statist...
Constructing a long time series of soil moisture using SMOS data with statist...grssieee
 
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTUREgrssieee
 
FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE...
 FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE... FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE...
FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE...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 CAPABILITIESgrssieee
 
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
 
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 MODELgrssieee
 
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
 

Andere mochten auch (8)

Constructing a long time series of soil moisture using SMOS data with statist...
Constructing a long time series of soil moisture using SMOS data with statist...Constructing a long time series of soil moisture using SMOS data with statist...
Constructing a long time series of soil moisture using SMOS data with statist...
 
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
 
FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE...
 FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE... FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE...
FR2.L10.3: TOWARDS VALIDATION OF SMOS LAND PRODUCTS USING THE SYNERGY BETWEE...
 
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
 
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...
 
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
 
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...
 
Slideshare ppt
Slideshare pptSlideshare ppt
Slideshare ppt
 

Ähnlich wie Jackson072311.ppt

4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptx4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptxgrssieee
 
Pierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.pptPierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.pptgrssieee
 
Pierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.pptPierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.pptgrssieee
 
2003-11-02 Regional Haze
2003-11-02 Regional Haze2003-11-02 Regional Haze
2003-11-02 Regional HazeRudolf Husar
 
SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...
SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...
SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...Luca Brocca
 
2003-12-04 Evaluation of the ASOS Light Scattering Network
2003-12-04 Evaluation of the ASOS Light Scattering Network2003-12-04 Evaluation of the ASOS Light Scattering Network
2003-12-04 Evaluation of the ASOS Light Scattering NetworkRudolf Husar
 
Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...
Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...
Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...Nabin Malakar
 
Davies 2011 chaser con forecast school slideshare
Davies 2011 chaser con forecast school slideshareDavies 2011 chaser con forecast school slideshare
Davies 2011 chaser con forecast school slidesharejd0955
 
Kummerow.1.1B.ppt
Kummerow.1.1B.pptKummerow.1.1B.ppt
Kummerow.1.1B.pptgrssieee
 
Landsacpe Complexity & Soil Moisture Variation In South Copy
Landsacpe Complexity & Soil Moisture Variation In South   CopyLandsacpe Complexity & Soil Moisture Variation In South   Copy
Landsacpe Complexity & Soil Moisture Variation In South Copymarmari
 
DoD Poster Howell 2010
DoD Poster Howell 2010DoD Poster Howell 2010
DoD Poster Howell 2010kehowell
 
Hui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptHui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptgrssieee
 
Hui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptHui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptgrssieee
 
Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...
Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...
Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...daileya
 
2nd mates orals questions set
2nd mates orals questions set2nd mates orals questions set
2nd mates orals questions setsumeet25
 
Presentation on Aerosols, cloud properties
Presentation on Aerosols, cloud properties Presentation on Aerosols, cloud properties
Presentation on Aerosols, cloud properties Esayas Meresa
 

Ähnlich wie Jackson072311.ppt (20)

4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptx4_bindlish_igarss2011.pptx
4_bindlish_igarss2011.pptx
 
Pierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.pptPierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.ppt
 
Pierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.pptPierdicca-Igarss2011_july2011.ppt
Pierdicca-Igarss2011_july2011.ppt
 
2003-11-02 Regional Haze
2003-11-02 Regional Haze2003-11-02 Regional Haze
2003-11-02 Regional Haze
 
#5
#5#5
#5
 
SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...
SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...
SOIL MOISTURE: A key variable for linking small scale catchment hydrology to ...
 
2003-12-04 Evaluation of the ASOS Light Scattering Network
2003-12-04 Evaluation of the ASOS Light Scattering Network2003-12-04 Evaluation of the ASOS Light Scattering Network
2003-12-04 Evaluation of the ASOS Light Scattering Network
 
Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...
Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...
Assessing MODIS C006 urban corrections using the High Resolution Dragon AERON...
 
Nwp final paper
Nwp final paperNwp final paper
Nwp final paper
 
D133439
D133439D133439
D133439
 
Davies 2011 chaser con forecast school slideshare
Davies 2011 chaser con forecast school slideshareDavies 2011 chaser con forecast school slideshare
Davies 2011 chaser con forecast school slideshare
 
Kummerow.1.1B.ppt
Kummerow.1.1B.pptKummerow.1.1B.ppt
Kummerow.1.1B.ppt
 
Landsacpe Complexity & Soil Moisture Variation In South Copy
Landsacpe Complexity & Soil Moisture Variation In South   CopyLandsacpe Complexity & Soil Moisture Variation In South   Copy
Landsacpe Complexity & Soil Moisture Variation In South Copy
 
DoD Poster Howell 2010
DoD Poster Howell 2010DoD Poster Howell 2010
DoD Poster Howell 2010
 
Hui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptHui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.ppt
 
Hui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptHui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.ppt
 
Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...
Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...
Developing a Model to Validate the Use of Landsat and MODIS Data to Monitor C...
 
2nd mates orals questions set
2nd mates orals questions set2nd mates orals questions set
2nd mates orals questions set
 
Work_Sample_Paper
Work_Sample_PaperWork_Sample_Paper
Work_Sample_Paper
 
Presentation on Aerosols, cloud properties
Presentation on Aerosols, cloud properties Presentation on Aerosols, cloud properties
Presentation on Aerosols, cloud properties
 

Mehr von grssieee

GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSgrssieee
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERgrssieee
 
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 animationsgrssieee
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdfgrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.pptgrssieee
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptgrssieee
 
Sakkas.ppt
Sakkas.pptSakkas.ppt
Sakkas.pptgrssieee
 
Lagios_et_al_IGARSS_2011.ppt
Lagios_et_al_IGARSS_2011.pptLagios_et_al_IGARSS_2011.ppt
Lagios_et_al_IGARSS_2011.pptgrssieee
 
IGARSS-GlobWetland-II_2011-07-20_v2-0.ppt
IGARSS-GlobWetland-II_2011-07-20_v2-0.pptIGARSS-GlobWetland-II_2011-07-20_v2-0.ppt
IGARSS-GlobWetland-II_2011-07-20_v2-0.pptgrssieee
 

Mehr von grssieee (20)

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
 
Sakkas.ppt
Sakkas.pptSakkas.ppt
Sakkas.ppt
 
Rocca.ppt
Rocca.pptRocca.ppt
Rocca.ppt
 
Lagios_et_al_IGARSS_2011.ppt
Lagios_et_al_IGARSS_2011.pptLagios_et_al_IGARSS_2011.ppt
Lagios_et_al_IGARSS_2011.ppt
 
IGARSS-GlobWetland-II_2011-07-20_v2-0.ppt
IGARSS-GlobWetland-II_2011-07-20_v2-0.pptIGARSS-GlobWetland-II_2011-07-20_v2-0.ppt
IGARSS-GlobWetland-II_2011-07-20_v2-0.ppt
 

Kürzlich hochgeladen

What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 

Kürzlich hochgeladen (20)

What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 

Jackson072311.ppt

  • 1. SMOS Soil Moisture Validation With U.S. In Situ Networks T. J. Jackson, R. Bindlish, M. Cosh, and T. Zhao USDA ARS Hydrology and Remote Sensing Lab Beltsville. MD 20705 USA [email_address] July 25, 2011
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. SMOS Validation (Jan. 2010-May 2011)
  • 7.
  • 8. SMOS Validation: AMSR-E Benchmark SMOS exhibited overestimation that we did not encounter with AMSR-E….why?
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.