Flood monitoring using grs-1 sar imagery and digital elevation model

摘要

Agricultural crops in plains or depressions (mainly cotton, maize and sugarbeets), suffer not only from diseases and also from floods. when heavy rains fall during sensitive phenological stages, e. g. during seeding or ripening. The susal cloudy weather, during and after the event, does not allow the use of optical sensors for qualitative and quantitative monitoring of the flooded area. On the other hand, flood monitoring, when images from radar sensors are used, suffer from classification problems, due mainly to the confusion created by the similar radiometric behaviour of flood pixels and the hill shade pixels, resulting in misclassification, qualitatively and quantitatively, of the flood extent and intensity. Digital Elevation Model (DEM) was used to overcome the above difficulties, thus "pushing" the classification algorithm to read only water return signal from plains and depressions and rejecting similar signals from slopping areas.