Current Science

Vineet Kumar ¹, Mamta Kumari ², S. K. Saha ²

Affiliations
1 Indian Institute Technology Bombay, Powai, Mumbai 400 076, IN
2 Indian Institute of Remote Sensing (ISRO), 4, Kalidas Road, Dehradun 248 001, IN

Abstract

The present study distinguishes the growing areas of basmati and non-basmati rice types using polarimetric target decomposition technique on temporal Synthetic Aperture Radar (SAR) data. Multi-temporal quad-pol RADARSAT-2 data of part of the Indo-Gangetic plains were acquired to analyse the contribution of different scattering components (double bounce, singe bounce and volume scattering) at various crop growth stages of both rice types. A decision tree-based framework has been proposed to segregate both rice types and other major land use-land cover classes by capturing the temporal variations in different scattering components. Both rice types were separated in the study area with user's accuracy of 85.19% and 82.93% for non-basmati and basmati rice respectively.

Keywords

Basmati Rice, Decision-Tree Classifier, Polarimetric Target Decomposition, Synthetic Aperture Radar.

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