DETECTION WETLAND DEHYDRATION EXTENT WITH MULTI-TEMPORAL REMOTELY SENSED DATA USING REMOTE SENSING ANALYSIS AND GIS TECHNIQUES

To prevent losing water resources and wetlands, and conserve existing wetlands ecosystem for ecosystem and biodiversity services, good, wetlands habitats forstart any sustainable development programs, it is necessary to detect, monitor and inventory water resources and their surround uplands. Recently, AL-Razaza Lake suffer from a critical situation because of the decreasing in the water level and increase a salinity. We have propose a method to monitor and model the spatial and multi-temporal changes of AL-Razaza Lake in the period 1992–2018. This study includes pre-processing, processing and post-processing stages. In Addition, a supervised classification was used to classify the satellite images. Validation result reveals that the overall accuracies and kappa coefficients of the supervised classifications were 88, 90.79, 95.94 and 87.67 respectively, and 82%, 86%, 93% and 79% respectively. The results showed that the percentage change was significant during this period, such that the decreased surface area was from 1313.87 km2 in 1992 to 224.85 km2 in 2018.The noticeable results show the rapidly decreasing in the Lake area by 82.8% with area about 1089.02 km2 over the last three decades. All the dehydration extended area of the Lake was replaced by soil.