Crop acreage estimation of Boro Paddy using Remote Sensing and GIS Techniques: A Case from Nagaon district, Assam, India

Agriculture plays an important role in Indian economy. Comprehensive, reliable and timely information on agriculture resource is very much necessary for a country like India for making decisions for all agricultural related problems. The study makes an attempt to estimate the crop acreage of Boro paddy with the help of remote sensing and GIS techniques. Boro paddy of Nagaon district is unique crop because it is not dependable on rainfall and it is also risk free from flood hazards. The application of NDVI, RVI and supervised classification were used in this study to examine the variation of these models in acreage estimation. The remote sensing data for this study were collected from USGS earth explorer. Survey of India topographical sheet was used for extracting district area mask. Statistical data of Assam agricultural department were used to analyze the percentage of deviation. The result of this study showed that supervised classification proved to be more accurate model than NDVI and RVI. Supervised classification model validated the spectral signature with GPS survey data for better accuracy of the acreage estimation.

Keywords:

Crop acreage , NDVI , RVI , Supervised Classification , Remote Sensing , GIS