Crop inventory using remotely sensed data

Abstract

The physical basis oj crop identification/discrimination and estimating its yield using spectral data is described. State-of-the-art crop inventory has been summarised. Development of methodology for acreage. condition assessment and yield forecasting using RS data are discussed. Results obtained for major crops in India using digital data from the Indian Remote Sensing Satellite-FA are presented. The pre-honest estimation of wheat, rice. cotton. sorghum. oil seeds and mulberry are promising and demonstrate the capabilities of remotely sensed data from IRS-l A and other satellites. These studies relate to the chosen districts in Andhra Pradesh. Gujarat, Haryana, Karnataka, Maharashtra, Madhya Pradesh, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal with wide variations in soils. climatic conditions and management practices. Limitations of the techniques are indicated and scope for improvement has been outlined.