Image Analysis of Water Level using Remote Sensing

Environmental monitoring is required due to the current destruction of the environment as a result of human activity. In most underdeveloped nations, such as Kosovo, obtaining information on the current state and dynamic changes in the environment for quick monitoring is difficult. The current study examines droughts in the study area's manmade lake in Prishtina. The study's major goal is to provide a little-known and used alternative in Kosovo for monitoring and evaluating seasonal variations in water level utilizing WRI (Water Ratio Index) and NDWI (Normalized Difference Water Index) time series outputs, which also are mathematic formulas. Images from the satellite were incorporated in the research. According to the findings of this study, the WRI and NDWI created data and photos that provide us with useful information regarding water droughts. The purpose of this research is to create a clearer picture and data regarding the severity and timing of droughts. The results of this study are presented in statistical tables as well as with images over the seasons using the formulas WRI and NDWI and supervised classification algorithm which is Maximum Likelihood. We found that WRI is slightly more accurate than NDWI. NDWI was taking some soil and roads as water. We have generated water level statistics during the seasons of 2019, in the Spring the water level is 134.27 hectares, in the Summer is 124.68 hectares and in Autumn is 112.11 hectares. This information may also be used to produce a forecast of when droughts are likely to occur during the seasons, allowing for proactive measures to prevent lake erosion.