BEEILAB/LULC-Classification-Using-Deep-learning
This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!
This project helps environmental analysts, urban planners, and GIS specialists classify land use and land cover from satellite imagery. It takes raw satellite data as input and produces maps that identify different land types like forests, water bodies, or urban areas. This is ideal for professionals monitoring environmental changes or planning land development.
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Use this if you need to automatically categorize different types of land, such as forests, water, or developed areas, from satellite images.
Not ideal if you are looking for a tool to process non-spatial data or perform general image recognition on everyday photos.
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Dec 30, 2023
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