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Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data<br />Christian Koyama & Karl Schneider<br />Depa...
Outline<br /><ul><li>Test Site & Field Measurements
ALOS PALSAR Data & Processing
Grassland Soil Moisture Retrieval Model
High Resolution Surface Soil Moisture Patterns
Conclusions</li></ul>Table of Contents<br />- 02 -<br />
Grass layer<br />Layer depth: 5 – 175 cm<br />Dielectric constant: 15 – 25 <br />Blade density: 1000 – 3000/m²<br />Grass ...
PALSAR Fine Mode Dual Polarization Data<br />Region: Track 647+648 / Frame 1000+1010<br />Ground Range Resolution:  15 m<b...
ALOS PALSAR FBD343 Level 1.1<br />Multi-looking<br />[C2] Matrix Elements Processing<br />HH Power Image<br />σ0HH<br />HV...
2008-06-02<br />2008-07-18<br />2009-07-21<br />200<br />400<br />0<br />Meters<br />Christian N. Koyama<br />University o...
Grass canopy<br />Thatch<br />Matrix soil<br />Thatch Layer Effect<br />- 7 -<br />
2009-07-21<br />2008-05-04<br />2007-09-17<br />2008-06-02<br />mv = 51.1  <br />SD = 4.2<br />mv = 34.5  <br />SD = 3.4<b...
Empirical Grassland Parameter Model<br />- 9 -<br />
Grassland Soil Moisture Estimation<br />- 10 -<br />
2007-08-02<br />2007-09-17<br />Christian N. Koyama<br />University of Cologne<br />IGARSS 2011<br />Vancouver, July 26<br...
Conclusions<br /><ul><li>L-band dual-pol SAR has the potential to correct for disturbing effects occurring in grassland ec...
The retrieval algorithm is suitable to account for varying effects of vegetation and thatch
The thatch layer is the major source of attenuation
At L-band the amount of above ground grass biomass and its geometric properties can be neglected if <2 kg/m²</li></ul>Conc...
Thank you for your attention.<br />Acknowledgements <br />The authors thank the Japan Aerospace Exploration Agency (JAXA) ...
2009-07-21<br />2009-07-21<br />2009-07-21<br />200<br />400<br />0<br />Meters<br />Christian N. Koyama<br />University o...
2008-05-04<br />2008-06-02<br />2008-06-19<br />Christian N. Koyama<br />University of Cologne<br />IGARSS 2011<br />Vanco...
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  1. 1. Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data<br />Christian Koyama & Karl Schneider<br />Department of Geosciences<br />University of Cologne<br />IGARSS 2011 Vancouver<br />July 26, 2011<br />
  2. 2. Outline<br /><ul><li>Test Site & Field Measurements
  3. 3. ALOS PALSAR Data & Processing
  4. 4. Grassland Soil Moisture Retrieval Model
  5. 5. High Resolution Surface Soil Moisture Patterns
  6. 6. Conclusions</li></ul>Table of Contents<br />- 02 -<br />
  7. 7. Grass layer<br />Layer depth: 5 – 175 cm<br />Dielectric constant: 15 – 25 <br />Blade density: 1000 – 3000/m²<br />Grass biomass: 0.2 – 3.1 kg/m²<br />Thatch layer<br />Layer depth: 2 – 4 cm<br />Dielectric constant: 6 – 70<br />Soil half space<br />Dielectric constant: 9.7 – 33.8<br />Texture: clay/silt loam<br />Ground Truth Data<br />(test site and field measurements)<br />- 03 -<br />
  8. 8. PALSAR Fine Mode Dual Polarization Data<br />Region: Track 647+648 / Frame 1000+1010<br />Ground Range Resolution: 15 m<br />Center Frequency: L-band @ 1,270 MHz<br />Chirp Bandwidth: 14 MHz<br />Polarization: HH + HV<br />Off-Nadir Angle: 34.3 deg.<br />8/2/2007<br />9/17/2007<br />5/4/2008<br />6/2/2008<br />6/19/2008<br />7/18/2008<br />6/22/2009<br />7/21/2009<br />9/5/2009<br />9/22/2009<br />5/10/2010<br />6/25/2010<br />10/21/2009<br />Track 647<br />Track 648<br />Soil moisture<br />Surface roughness<br />Biomass<br />Jan.<br />Feb.<br />Mar.<br />Apr.<br />May<br />June<br />July<br />Aug.<br />Sep.<br />Oct.<br />Nov.<br />Dec.<br />Aug.<br />Sep.<br />Oct.<br />Nov.<br />Dec.<br />Jan.<br />Feb.<br />Mar.<br />Apr.<br />May<br />June<br />July<br />Aug.<br />Sep.<br />Oct.<br />Nov.<br />Dec.<br />Jan.<br />Feb.<br />Mar.<br />Apr.<br />May<br />June<br />2010<br />2007<br />2008<br />2009<br />ALOS PALSAR FBD343 DATA<br />(product description & acquisition overview)<br />- 04 -<br />
  9. 9. ALOS PALSAR FBD343 Level 1.1<br />Multi-looking<br />[C2] Matrix Elements Processing<br />HH Power Image<br />σ0HH<br />HV Power Image<br />σ0HV<br />Multi-Looking<br />Covariance [C2] Matrix Elements<br />Coregistration + Generic Filtering<br />H<br />A<br />alpha<br />span<br />Terrain Geocoding<br />H/A/Alpha Decomposition<br />Radiometric Calibration<br />Geocoding<br />Simplified Processing Chain<br />(basicprocessingand polarimetric decompositionof FBD343)<br />- 05 -<br />
  10. 10. 2008-06-02<br />2008-07-18<br />2009-07-21<br />200<br />400<br />0<br />Meters<br />Christian N. Koyama<br />University of Cologne<br />IGARSS 2011<br />Vancouver, July 26<br />Dual-pol α/H/span-HSV<br />(H = alpha / S = entropy / V = span)<br />
  11. 11. Grass canopy<br />Thatch<br />Matrix soil<br />Thatch Layer Effect<br />- 7 -<br />
  12. 12. 2009-07-21<br />2008-05-04<br />2007-09-17<br />2008-06-02<br />mv = 51.1 <br />SD = 4.2<br />mv = 34.5 <br />SD = 3.4<br />mv = 48.7 <br />SD = 4.9<br />mv = 37.9 <br />SD = 4.4<br />Alpha [deg.]<br />Alpha [deg.]<br />Alpha [deg.]<br />Alpha [deg.]<br />Entropy<br />Entropy<br />Entropy<br />Entropy<br />Cloude, S.R. (2007): “The Dual Polarisation Entropy/Alpha Decomposition: A PALSAR Case Study, “ In Proceedings of PolInSAR 2007.<br />Grassland H2αPlanes<br />- 8 -<br />
  13. 13. Empirical Grassland Parameter Model<br />- 9 -<br />
  14. 14. Grassland Soil Moisture Estimation<br />- 10 -<br />
  15. 15. 2007-08-02<br />2007-09-17<br />Christian N. Koyama<br />University of Cologne<br />IGARSS 2011<br />Vancouver, July 26<br />25<br />75<br />Surface Soil Moisture Distribution<br />mv [Vol.-%]<br />
  16. 16. Conclusions<br /><ul><li>L-band dual-pol SAR has the potential to correct for disturbing effects occurring in grassland ecosystems without the use of a priori knowledge
  17. 17. The retrieval algorithm is suitable to account for varying effects of vegetation and thatch
  18. 18. The thatch layer is the major source of attenuation
  19. 19. At L-band the amount of above ground grass biomass and its geometric properties can be neglected if <2 kg/m²</li></ul>Conclusions<br />- 12 -<br />
  20. 20. Thank you for your attention.<br />Acknowledgements <br />The authors thank the Japan Aerospace Exploration Agency (JAXA) and the European Space Agency (ESA) for the provision of ALOS PALSAR<br /> data through their PI programme (AOALO.3570). <br />Financial support by the SFB/TR32 "Patterns in Soil-Vegetation-Atmosphere Systems" funded by the German Research Foundation (DFG) is gratefully acknowledged. <br />christian.koyama@uni-koeln.de<br />www.tr32.de<br />- 13 -<br />
  21. 21. 2009-07-21<br />2009-07-21<br />2009-07-21<br />200<br />400<br />0<br />Meters<br />Christian N. Koyama<br />University of Cologne<br />IGARSS 2011<br />Vancouver, July 26<br />Dual-pol Pauli-RGB<br />(R = C22 /G = C11-2xC12r+C22 /B = C11)<br />
  22. 22. 2008-05-04<br />2008-06-02<br />2008-06-19<br />Christian N. Koyama<br />University of Cologne<br />IGARSS 2011<br />Vancouver, July 26<br />25<br />75<br />Surface Soil Moisture Distribution<br />mv [Vol.-%]<br />
  23. 23. 16<br />
  24. 24. 17<br />
  25. 25. 18<br />
  26. 26. 19<br />
  27. 27. 20<br />
  28. 28. 21<br />
  29. 29. 22<br />
  30. 30. 23<br />
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