new approaches to retrieving soil moisture from sar data · 2017-01-30 · moisture –phase...
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New Approaches to Retrieving Soil
Moisture from SAR data
Keith Morrison
University of Reading
Soil Moisture Workshop
25 January 2017
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Soil Moisture from SAR
• Radar remote sensing uses backscatter
• Backscatter has a dual dependence upon surface-roughness and moisture
moisture, mv
texture (sand, clay)
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Moisture Phase Sensitivity
C-band Radarsat
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Laboratory Investigation
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Laboratory Investigation
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Moisture – Phase Behaviour
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Morrison,K., Bennett,J.C. and Nolan,M. Using DInSAR to Separate Surface and Subsurface Features.IEEE Transactions on Geoscience and Remote Sensing, 51, 6, pp.3424-3430. 2013.
Morrison,K. Mapping Subsurface Archaeology with SAR. Archaeological Prospection, 20, 2, pp.149–160. 2013
The phase reflecting from a sub-surface feature is:
1) linear2) independent of incidence angle
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Interferometric Model
F. de Zan, A. Parizzi, and P. Prats. A proposal for a SAR interferometric model of soil moisture IGARSS Proceedings, pages 630–633, 2012.
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Model vs. Field
ESAR AgriSAR 2006
F. de Zan, A. Parizzi, and P. Prats. A proposal for a SAR interferometric model of soil moisture IGARSS Proceedings, pages 630–633, 2012.
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Virtual Bandwidth SAR
(VB-SAR)
6.4GHz
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VB-SAR – First Demonstration
Drying sandy loamC-Band, imaging geometry i=20°
Δmv=0.098 to 0.027
Real Bandwidth 0.15GHzVirtual bandwidth 3.38GHz
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SAR Image
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VB-SAR Image
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Summary
Interferometry of soil shows:
• definite moisture-phase relationship
Understand phase change as:• return from within soil• surface return little changed• due to changing dielectric = proxy for moisture
Opportunities• added-value of backscatter-derived moistures• new insights• moisture profiles• sub-surface imaging
Exciting “discovery” phase:
• Groups to watch - University of Reading, ETH-Zürich, DLR.