This paper describes the methodology adopted and results obtained during forecasting of national level wheat
production in India using multi-date medium resolution Advanced Wide Field Sensor (AWiFS) data. Multidate,
geometrically registered and radiometrically normalized Resourcesat-1 AWiFS data were classified
using hierarchical decision rules, which exploited differential crop spectral profiles of various crops in winter
season. Wheat acreage estimates were arrived by aggregation of stratified samples. Wheat yields were
predicted for meteorological sub-divisions by correlation weighted weather regression models developed
using fortnightly temperatures. Multiple preharvest wheat acreage and production forecasts were made with
additional information on spatio-temporal crop growth performance in comparison to previous / normal
season.
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