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1. LULC-Classification-Using-Machine-learning LULC-Classification-Using-Machine-learning Public

   This repository will guide you how to use machine learning algorithms for land use land cover classification using Sentinel-2 data.

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2. LULC-Classification-Using-Deep-learning LULC-Classification-Using-Deep-learning Public

   This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!

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3. Attention-Mechanism Attention-Mechanism Public

   Here, you can find some code implementation of the attention mechanisms.

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4. Wildfire-Spread-Dataset Wildfire-Spread-Dataset Public

   This repository contains the material for deep learning based wildfire spread dataset in Alberta, Canada, from 2001 to 2019. The dataset integrates Landsat imagery and environmental variables.

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5. Satellite-image-segmentation-using-segment-anything-model Satellite-image-segmentation-using-segment-anything-model Public

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6. Wildfire-Fuel-Mapping Wildfire-Fuel-Mapping Public

   L2HFuelNet: end-to-end DL for 10 m wildfire fuel maps from multi-source RS (S1/S2/DEM) and 30 m labels. Dual-encoder U-Net (SwinT+ASPP), composite L2H-FL loss, uncertainty mapping, and benchmarks v…

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