Ahmed-Rizk1/Land-Type-Classification-using-Sentinel-2-Satellite-Images

This project develops a deep neural network (DNN) model to classify different land types in Egypt—such as agricultural land, water bodies, urban areas, deserts, roads, and trees—using Sentinel-2 satellite imagery. It combines open-source datasets with custom data collected via QGIS to build an accurate land classification model.