Youssefhazem15/Land-Type-Classification-using-Sentinel-2-Satellite-Images

The Land Type Classification using Sentinel-2 Satellite Images project focuses on building a deep neural network (DNN) model for classifying various land types in Egypt based on Sentinel-2 satellite imagery. The aim is to classify major land types such as agricultural land, water bodies, urban areas, deserts, roads, and trees. # Land-Type-Classification-using-Sentinel-2-Satellite-Images The Land Type Classification using Sentinel-2 Satellite Images project focuses on building a deep neural network (DNN) model for classifying various land types in Egypt based on Sentinel-2 satellite imagery. The aim is to classify major land types such as agricultural land, water bodies, urban areas, deserts, roads, and trees.