The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXVIII-8/W20
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 46–49, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-8-W20-46-2011
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 46–49, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-8-W20-46-2011

  31 Aug 2012

31 Aug 2012

INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA

P. Srikanth, K. V. Ramana, T. P. Shankar, K. K. Choudhary, K. Chandrasekhar, M.V.R. Seshasai, and G. Behera P. Srikanth et al.
  • ASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, India

Keywords: Polarimetric SAR, Freeman and H-A-a decomposition, Wishart classification, rice and cotton crops

Abstract. An attempt has been made in the current study to assess the potential of polarimetric SAR data for inventory of kharif rice and the major competing crop like cotton. In the process, physical process of the scattering mechanisms occurring in rice and cotton crops at different phonological stages was studied through the use of temporal Radarsat 2 Fine quadpol SAR data. The temporal dynamics of the volume, double and odd bounce, entropy, anisotropy, alpha parameters and polarimertic signatures, classification through isodata clustering and Wishart techniques were assessed. The Wishart (H-a) classification showed higher overall as well as rice and cotton crop accuracies compared to the isodata clustering from Freeman 3-component decomposition. The classification of temporal SAR data sets independently showed that the rice crop forecasting can be advanced with the use of appropriate single date polarimetric SAR data rather than using temporal SAR amplitude data sets with the single polarization in irrigated rice ecosystems