Remote sensing based crop inventory : A review of Indian experience
2002
This paper reviews the approach and techniques of Remote Sensing (RS) based crop discrimination and area estimation including single date approach based on maximum likelihood classification as well as hierarchical/ growth profile for crop classification. Uniqueness of both optical and microwave date for crop identification in operational scenario in Rabi and Kharif season is presented. In the past two decades, studies on RS based crop inventory of more than 20 crops at various spatial scales (village to national) have been conducted. In most of the studies a sampling-based approach using optimally acquired single date satellite data and a supervised classifier has been used. More recently, national scale inventory of wheat and rice using multidate WiFS and Radarsat, Synthetic Aperture Radar (SAR) data have been carried out. Studies on accuracies of area inventory led to understanding of effects of sensor characteristics such as spatial, spectral and radiometric resolution and scene characteristics such as field sizes, acquisition date etc. These experiences in Crop Area and Production Estimation (CAPE) project over past decade suggests that remote sensing inventory has matured in operational use. Future perspective such as utilization of multi-source data and merging techniques, fraction area estimation approaches, as well as integration of conventional field survey information with remote sensing data towards the FASAL concept is also presented.
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