ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Nov 2014)

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

  • 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

DOI
https://doi.org/10.5194/isprsannals-II-8-145-2014
Journal volume & issue
Vol. II-8
pp. 145 – 150

Abstract

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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.