Abstract

Paddy (Oryza Sativa L.) is one of the important crops not only in India but also in the world, it is vital to determine the paddy field and its residues viz. paddy straw as accurately as possible using fast and economical methods such as remote sensing and GIS to support bioenergy potential. Accurate and timely paddy field maps with a fine spatial resolution would greatly improve our understanding of the effects of paddy on food and water as well as energy security. In this study, special mapping algorithm that uses NDVI time series data derived from Landsat 8 OLI imagery developed to identify paddy fields and area to estimate the paddy crop residue potential and agriculture-based bioenergy potential in the study area. The results validated with ground field works data at 60 well-distributed sample points. It was found to be 25102.89 hectares in Kharif and 14527.89 hectares in Rabi season. Among all, Khishora and Hasda were having annual paddy straw potential of more than 1800 tonnes. Hasda and Khishora was having maximum paddy straw based bioenergy potential with more than 27000 GJ whereas Kewradih shows the maximum paddy straw based bioenergy potential of 101 GJ per households per annum and 20 GJ per capita per annum. The overall accuracy of the method was 74.0 % and kappa coefficient was 0.80.