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Readme.md
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---
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title: Land Cover Segmentation and Analysis
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emoji: 🛰️
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colorFrom: green
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colorTo: blue
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sdk: docker
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pinned: false
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---
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### Sen-2 LULC: Interactive Land Cover Analysis
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This tool performs semantic segmentation on satellite imagery to classify different types of land use and land cover (LULC).
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It is based on the **Sen-2 LULC dataset** and a **Custom DeepLabV3+** model.
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**How it works:**
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1. **Upload Image:** Upload a satellite image patch.
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2. **Model Prediction:** The deep learning model classifies each pixel into one of the 8 LULC classes.
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3. **Analysis:** The application generates a color-coded **Segmentation Mask** and a **Quantitative Report** calculating the area of each land class in hectares.
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