IGARSS2011_Koyama_Schneider.pptx

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  • 1. Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data
    Christian Koyama & Karl Schneider
    Department of Geosciences
    University of Cologne
    IGARSS 2011 Vancouver
    July 26, 2011
  • 2. Outline
    • Test Site & Field Measurements
    • 3. ALOS PALSAR Data & Processing
    • 4. Grassland Soil Moisture Retrieval Model
    • 5. High Resolution Surface Soil Moisture Patterns
    • 6. Conclusions
    Table of Contents
    - 02 -
  • 7. Grass layer
    Layer depth: 5 – 175 cm
    Dielectric constant: 15 – 25
    Blade density: 1000 – 3000/m²
    Grass biomass: 0.2 – 3.1 kg/m²
    Thatch layer
    Layer depth: 2 – 4 cm
    Dielectric constant: 6 – 70
    Soil half space
    Dielectric constant: 9.7 – 33.8
    Texture: clay/silt loam
    Ground Truth Data
    (test site and field measurements)
    - 03 -
  • 8. PALSAR Fine Mode Dual Polarization Data
    Region: Track 647+648 / Frame 1000+1010
    Ground Range Resolution: 15 m
    Center Frequency: L-band @ 1,270 MHz
    Chirp Bandwidth: 14 MHz
    Polarization: HH + HV
    Off-Nadir Angle: 34.3 deg.
    8/2/2007
    9/17/2007
    5/4/2008
    6/2/2008
    6/19/2008
    7/18/2008
    6/22/2009
    7/21/2009
    9/5/2009
    9/22/2009
    5/10/2010
    6/25/2010
    10/21/2009
    Track 647
    Track 648
    Soil moisture
    Surface roughness
    Biomass
    Jan.
    Feb.
    Mar.
    Apr.
    May
    June
    July
    Aug.
    Sep.
    Oct.
    Nov.
    Dec.
    Aug.
    Sep.
    Oct.
    Nov.
    Dec.
    Jan.
    Feb.
    Mar.
    Apr.
    May
    June
    July
    Aug.
    Sep.
    Oct.
    Nov.
    Dec.
    Jan.
    Feb.
    Mar.
    Apr.
    May
    June
    2010
    2007
    2008
    2009
    ALOS PALSAR FBD343 DATA
    (product description & acquisition overview)
    - 04 -
  • 9. ALOS PALSAR FBD343 Level 1.1
    Multi-looking
    [C2] Matrix Elements Processing
    HH Power Image
    σ0HH
    HV Power Image
    σ0HV
    Multi-Looking
    Covariance [C2] Matrix Elements
    Coregistration + Generic Filtering
    H
    A
    alpha
    span
    Terrain Geocoding
    H/A/Alpha Decomposition
    Radiometric Calibration
    Geocoding
    Simplified Processing Chain
    (basicprocessingand polarimetric decompositionof FBD343)
    - 05 -
  • 10. 2008-06-02
    2008-07-18
    2009-07-21
    200
    400
    0
    Meters
    Christian N. Koyama
    University of Cologne
    IGARSS 2011
    Vancouver, July 26
    Dual-pol α/H/span-HSV
    (H = alpha / S = entropy / V = span)
  • 11. Grass canopy
    Thatch
    Matrix soil
    Thatch Layer Effect
    - 7 -
  • 12. 2009-07-21
    2008-05-04
    2007-09-17
    2008-06-02
    mv = 51.1
    SD = 4.2
    mv = 34.5
    SD = 3.4
    mv = 48.7
    SD = 4.9
    mv = 37.9
    SD = 4.4
    Alpha [deg.]
    Alpha [deg.]
    Alpha [deg.]
    Alpha [deg.]
    Entropy
    Entropy
    Entropy
    Entropy
    Cloude, S.R. (2007): “The Dual Polarisation Entropy/Alpha Decomposition: A PALSAR Case Study, “ In Proceedings of PolInSAR 2007.
    Grassland H2αPlanes
    - 8 -
  • 13. Empirical Grassland Parameter Model
    - 9 -
  • 14. Grassland Soil Moisture Estimation
    - 10 -
  • 15. 2007-08-02
    2007-09-17
    Christian N. Koyama
    University of Cologne
    IGARSS 2011
    Vancouver, July 26
    25
    75
    Surface Soil Moisture Distribution
    mv [Vol.-%]
  • 16. Conclusions
    • 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. The retrieval algorithm is suitable to account for varying effects of vegetation and thatch
    • 18. The thatch layer is the major source of attenuation
    • 19. At L-band the amount of above ground grass biomass and its geometric properties can be neglected if <2 kg/m²
    Conclusions
    - 12 -
  • 20. Thank you for your attention.
    Acknowledgements
    The authors thank the Japan Aerospace Exploration Agency (JAXA) and the European Space Agency (ESA) for the provision of ALOS PALSAR
    data through their PI programme (AOALO.3570).
    Financial support by the SFB/TR32 "Patterns in Soil-Vegetation-Atmosphere Systems" funded by the German Research Foundation (DFG) is gratefully acknowledged.
    christian.koyama@uni-koeln.de
    www.tr32.de
    - 13 -
  • 21. 2009-07-21
    2009-07-21
    2009-07-21
    200
    400
    0
    Meters
    Christian N. Koyama
    University of Cologne
    IGARSS 2011
    Vancouver, July 26
    Dual-pol Pauli-RGB
    (R = C22 /G = C11-2xC12r+C22 /B = C11)
  • 22. 2008-05-04
    2008-06-02
    2008-06-19
    Christian N. Koyama
    University of Cologne
    IGARSS 2011
    Vancouver, July 26
    25
    75
    Surface Soil Moisture Distribution
    mv [Vol.-%]
  • 23. 16
  • 24. 17
  • 25. 18
  • 26. 19
  • 27. 20
  • 28. 21
  • 29. 22
  • 30. 23