Soil Moisture Model with Multi Angle and Multi Polarisation Risat-1 Data

Autor: S. S. Rao, D. K. Sahadevan, M. R. Wadodkar, M. S. S. Nagaraju, S. Chattaraj, W. Joseph, P. Rajankar, T. Sengupta, M. V. Venugopalan, S. N. Das, A. K. Joshi, J. R. Sharma, E. Amminedu
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-8, Pp 145-150 (2014)
Druh dokumentu: article
ISSN: 2194-9042
2194-9050
DOI: 10.5194/isprsannals-II-8-145-2014
Popis: 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 (σ HV - σ HH) and differences of low and high incidence backscatter values (σ HH high (θ) - σ HH Low). The derived roughness was inputted to the modified dubois model (MDM). The results show both the σ HV - σ HH & σ HH high (θ) - σ HH Low are sensitive to roughness. The derived soil moisture using the MDM model is shows reasonable correlation with ground soil moisture.
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