Volume II-8
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 145-150, 2014
https://doi.org/10.5194/isprsannals-II-8-145-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 145-150, 2014
https://doi.org/10.5194/isprsannals-II-8-145-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  27 Nov 2014

27 Nov 2014

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

S. S. Rao1, D. K. Sahadevan1, M. R. Wadodkar1, M. S. S. Nagaraju2, S. Chattaraj3, W. Joseph3, P. Rajankar4, T. Sengupta5, M. V. Venugopalan5, S. N. Das6, A. K. Joshi2, J. R. Sharma1, and E. Amminedu7 S. S. Rao et al.
  • 1Regional Centre, National Remote Sensing Centre, Balanagar, Hyderabad 500037, India
  • 2Regional Remote Sensing Centre - Central, Amravati Road, Nagpur 440 010, India
  • 3National Bureau of Soil Survey & Land Use Planning, Amravati Road, Nagpur 440 033, India
  • 4Soil and Land Use Survey of India, Nagpur 440 0130, India
  • 5Maharashtra Remote Sensing Applications Centre, Nagpur 440 011, India
  • 6Central Institute of Cotton Research, Nagpur 440 010, India
  • 7Dept of Geo Enng, AU College of Engg, Visakhapatnam 530 003, India

Keywords: Soil Moisture, RISAT-1, Multi-Polarisation, Multi-Angle, Dielectric Constant, Backscatter, RISAT Utilisation Programme

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 (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.