This blog explores how satellite data and remote sensing help monitor changing shorelines, focusing on Lake Urmia. Using Sentinel-2 imagery, cloud masking techniques, Google Earth Engine, and QGIS, the workflow improves data accuracy and enables long-term environmental analysis. The study highlights water level changes, climate impacts, and the role of geospatial tools in supporting environmental awareness and decision-making.