REMOTE SENSING AND GIS BASE CROP ACREAGE ESTIMATION OF THE SUGARCANE FOR SOLAPUR DISTRICT, MAHARASHTRA

Abstract

Accurate and faster estimation of crop area is very essential for projecting yearly agriculture production for formulating national budget and deciding agriculture policies. The present investigation deals with the estimation of sugarcane crop acreage of Maharashtra state. The cultivation of sugarcane crop in Maharashtra has been increasing steadily because of the increasing irrigation facilities. In the present study, comparison was carried out between conventional (field data) and remote sensing data for the estimation of accuracy about the sugar cane crop area. Tahsils wise data was analyzed from last 30 years for all the tahsils of Maharashtra state. This data used for the analysis and calculation of maximum and minimum concentration of sugar cane crops using Bhatia crop concentration Index and statistically improvised with t – test method. On this basis Western part Maharashtra depicted maximum increase in area and concentration of sugarcane crop. IRS P6 LISS – III multispectral data was used for the determination of total area under crop with the spectral reflectance of sugar cane crops in selected region of maximum concentration in Western Maharashtra. On the of basis spectral responses, appropriate signature of sugar cane was detected and analyzed. The analysis show that the maximum increase in acreage was in Solapur district. Moreover, Digital Image Process for various algorithms was analyzed and compared to the crop data of conventional ground based surveys. J48 algorithm was found to be more accurate 125 percentages and this helped in establishing the accuracy of Remote Sensing data in estimation of crop acreage for high density crop like sugarcane along with being more accurate, cost effective, reliable, timely and faster than the conventional ground based surveys.