Remote Sensing Based Methodology Crop Acreage Estimation at Plot Level of Aliabad Village Barabanki District, Uttar Pradesh, India

Dilip Kumar


The study was carried out in village of Aliabad, Barabanki district, Uttar Pradesh demonstrate the potential of high resolution Remote sensing data is produce crop acreage data base at plot level that would facilitate for the very important factors of food security planning. The estimates obtained by analysis of satellite data were compared with agricultural data (conventional data). For this study, detailed plot level crop acreage estimation database was generated by interpreting IRS P6-LISS III data and by undertaking field survey. This database was integrated with cadastral map and was analyzed for preparation of an action plan for the village level. In this paper, we analyses problems that remote sensing technique met in plot level of acreage estimation of LISS-III satellite data. During the stratification procedure, such as limited field checks was considered as well as proportions of main crop types. And then, we first estimate crop proportion using cluster sampling assisted by remotely sensed image. The two rabi and kharif seasons images of Aliabad village was analyzed and compared with agricultural data which showed that by use of remote sensing techniques major crops viz., wheat, paddy, sugarcane and potato can be identified and classified with high accuracy of more than 95% at plot level. The new technology of remote sensing has played vital role in providing timely and reliable information on the natural resources of an area at cadastral level. The Village level crop acreage estimation is a great significance to develop food policies and economic plans for the countries.


Remote Sensing, GIS, GPS, Land use/Land cover, GDP, MSL, GNP, Water Resources.

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