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- Title
SOIL MOISTURE MODEL WITH MULTI ANGLE AND MULTI POLARISATION RISAT-1 DATA.
- Authors
Rao, S. S.; Sahadevan, D. K.; Wadodkar, M. R.; Sharma, J. R.; Nagaraju, M. S. S.; Joshi, A. K.; Chattaraj, S.; Joseph, W.; Rajankar, P.; Sengupta, T.; Venugopalan, M. V.; Das, S. N.; Amminedu, E.
- Abstract
Multi dimensional data (multi frequency, incident angle and polarisation) measurements of σ0 provided better estimates of soil moisture over those derived from single. This particular paper explains a new methodology for soil moisture estimation with the use of multi angle and multi polarisation RISAT-1 data. The roughness component was derived by correlating root mean square height with the differences of cross polarisation and like polarisation backscatter values (σHV - σHH) and differences of low and high incidence backscatter values (σHH high (θ) - σHH Low). The derived roughness was inputted to the modified dubois model (MDM). The results show both the σHV - σHH & σHH high (θ) - σHH Low are sensitive to roughness. The derived soil moisture using the MDM model is shows reasonable correlation with ground soil moisture.
- Subjects
SOIL moisture models; OPTICAL polarization; RISAT-1 (Radar imaging satellite)
- Publication
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2014, Vol 2, Issue 8, p145
- ISSN
2194-9042
- Publication type
Article
- DOI
10.5194/isprsannals-II-8-145-2014