Discrimination of maize crop with hybrid polarimetric RISAT1 data
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Deepika Uppala, Kothapalli Venkataa Ramana, Srikanth Poloju, SeshaSai Mullapudi Venkata Rama, Vinay Kumar Dadhwal. (25/5/2016). Discrimination of maize crop with hybrid polarimetric RISAT1 data. International Journal of Remote Sensing, 37(11), pp. 2641-2652.
Abstract
Microwave remote sensing provides an attractive approach to
determine the spatial variability of crop characteristics. Synthetic
aperture radar (SAR) image data provide unique possibility of
acquiring data in all weather conditions. Several studies have
used fully polarimetric data for extracting crop information, but
it is limited by swath width. This study aimed to delineate maize
crop using single date hybrid dual polarimetric Radar Imaging
Satellite (RISAT)-1, Fine Resolution Stripmap mode (FRS)-1 data.
Raney decomposition technique was used for explaining different
scattering mechanisms of maize crop. Supervised classification on
the decomposition image discriminated maize crop from other
land-cover features. Results were compared with Resourcesat-2,
Linear Imaging Self Scanner (LISS)-III optical sensor derived information.
Spatial agreement of 91% was achieved between outputs
generated from Resourcesat-2, LISS-III sensor and RISAT-1 data.
