Spectral Mixture Analysis and Temporal Land Sat Satellite Images for Change Detection: Dead Sea Jordan

Abstract the main goal of this study is to investigate the changes and lowering in Dead sea water level during the period of 1980 to 2014.The monitoring of dead sea changes using feature extraction (spectral mixture analysis) technique, temporal land-sat satellite images, and remote sensing and GIS provide historical data and information about the earth and help detect and investigate the change in dead sea water level. The temporal satellite images of the dead sea area was processed by Envi imagine software and spectral mixture analysis which provide accurate account for dead sea area change .The results showed that the dead sea water level is changing rapidly and is decreasing from year to year. The dead sea was shrinking and lowering during the period of 1980 to 2014. The percentage lowering of dead sea area decreased from 925.67 in 1980 to 617.98 in 2014. This shrinkage in surface area demonstrates the influence of very high evaporating process and negative balance charge from water cycle.