This model offers much scope for developing strategies for efficient natural resource
management and in this context, recent advances in remote sensing and GIS have made the
task of integration and mapping of a wide range of databases much easier.In this study
standard precipitation index(SPI) was adopted for monitoring droughts in Hamadan Province.
The intensity and duration of droughts in this region were studied and the areas potentially
subject to drought risk were identified. On the basis of probability of occurrence these
regions were qualitatively classified and the risk layers were identified. These layers were
overlayed on the layers obtained by applying AEZ model and finally the areal extension of
wheat cultivation in drought conditions were worked out.