ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 145-150, 2014
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-8/145/2014/
doi: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
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 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.
Conference paper (PDF, 1968 KB)


Citation: Rao, S. S., Sahadevan, D. K., Wadodkar, M. R., Nagaraju, M. S. S., Chattaraj, S., Joseph, W., Rajankar, P., Sengupta, T., Venugopalan, M. V., Das, S. N., Joshi, A. K., Sharma, J. R., and Amminedu, E.: Soil Moisture Model with Multi Angle and Multi Polarisation Risat-1 Data, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 145-150, doi:10.5194/isprsannals-II-8-145-2014, 2014.

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