Detection of Drought Effects Change on Isfahan City Green Vegetation Cover by Using Landsat TM and ETM+ Data

Vegetation cover as a dynamic and most important factor on human living conditions should be monitored spatially and temporarily. Satellite data could be useful for environmental decision – making, particularly in specific conditions such as drought mitigation. Satellite data provide appropriate information for evaluation, monitoring and controlling of environmental activities so that environmental issues permanently could be analyzed for forecasting aims (based on predictor model resulting from studying the effective factor over the past time). In this research, different remote sensing techniques had been used for detection of vegetation change detection during 1990-1999 in Isfahan (Iran). Drought effects on vegetation canopy cover had been studied as well. Radiometric and geometric correction applied to the satellite data. Different processing techniques have been analyzed to enhance the vegetation cover. The most appropriate methods were selected for each date and the regression analysis was applied between the vegetation indexes images and field data. The results showed that the remote sensing vegetation indexes to canopy cover studies and monitoring could be efficient.