Author(s):

P Christy Nirmala Mary and S Pazhanivelan

Abstract: Droughts and floods are water-related natural disasters which affect a wide range of environmental factors and activities related to agriculture, vegetation, human, wild life and local economics. Floods are among the most devastating natural hazards in the world, claiming more lives and causing more property damage than any other natural phenomena. Rice is the most important cereal crop governing food security in Asia. Accurate and consistent information on the area of production is necessary for national planning and policy taking decision. Remote sensing has the scope for cost effective precise estimates of rice area to give insurance policy to the farmers affected by flooding. The RIICE project - Remote Sensing Based Information and Insurance for Crops in Emerging Economics tested SAR – Synthetic Aperture Radar based mapping of rice area in Cuddalore district, samba season from mid July 2013 to the first week of January 2014 was monitored. The yield was estimated using ORYZA 2000, a crop growth Simulation Model developed by IRRI (Boumman et al., 2001). In the rice area map generated for Cuddalore, variability in rice crop establishment data was due to the uncertainty in the date of water availability. The Rice Map accuracy was 92 % and Kappa value was 0.85. Rice yield accuracy was 99 %. The Rice estimate (kg/ha), Crop Cutting Experiment (kg/ha), RMSE (kg/ha), NRMSE (%) and accuracy (%) values were 3816, 3854, 38167, 1.0 and 99.0 respectively. The simulated yield matched observed yield perfectly indicating the suitability of these products for policy decisions ensuring food security besides reducing the vulnerability of small holder rice farmers in India.

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