Integration of Misrsat-1 and SPOT-2 Data for Quantitative Change Detection Applications

Misrsat-1 is the first Egyptian earth observation satellite which was successfully put in orbit on 17/04/2007. It is a micro-satellite technology built in cooperation with the Ukraine. It is expected to play a vital role as a source of information for the remote sensing and GIS communities. During the last decades, detecting and measuring changes has been given a significant boost with the advent of remotely sensed data. Various satellite data of different dates were normally used to form multitemporal classification for change detection. The aim of the present study is to explore and demonstrate Misrsat-1 capability in detecting the changes with the archived SPOT-2 data for different application purposes including; urban areas, agricultural areas, land use, and water bodies. Four satellite scenes were processed, two Misrsat-1 scenes acquired on 23-7-2007 and 24-7-2007 and two SPOT-2 scenes acquired on 30-12-1995 and 9-8-1997 respectively. Since adequate processing and proper classification of multitemporal images are essential, therefore these data have been geometrically corrected and radiometrically balanced. The direct multidate classification approach was carried out to generate the change maps. The location and extent of the changed areas could be easily detected and their statistics could be accurately calculated as well.