Deep learning-based surface water mapping using HRNet-W48 and Sentinel-2 multispectral imagery.
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May 18, 2024 - Python
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sentinal-2
Here are 6 public repositories matching this topic...
Spatio-Temporal Crop Health Assessment for the Jammu Region using Multi-Source Remote Sensing and Machine Learning
machine-learning random-forest remote-sensing dissertation modis google-earth-engine precision-agriculture dissertation-project jammu jammu-kashmir crop-health sentinal-2 chrips
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May 17, 2026 - Python
bioinformatics biopython ndvi precision-agriculture plant-disease-detection crop-monitoring sentinal-2
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Apr 3, 2026 - HTML
Deep Learning for Detecting Forest Disturbance in the Brazilian Amazon Using Sentinel-2 Satellite Imagery
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May 28, 2026 - Python
End-to-end deep-learning framework that super-resolves and colorizes monochrome infrared (IR) satellite imagery into realistic, semantically-faithful RGB - no hallucinations - to boost object interpretation. Bharatiya Antariksh Hackathon 2026 · Problem Statement 10.
pytorch landsat gan thermal-imaging image-colorization satellite-imagery spade pix2pix super-resolution semantic-segmentation infrared tensorrt nafnet sentinal-2 ddcoor
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Jun 21, 2026 - Python
Spatiotemporal deep learning (ConvLSTM, U-Net+ConvLSTM, CNN-LSTM) for forecasting Bengaluru's land use 2026–2030 from 10 years of Sentinel-2 + Landsat imagery, with MC Dropout uncertainty.
deep-learning pytorch remote-sensing bengaluru time-series-forecasting convlstm land-use-classification sentinal-2
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May 1, 2026 - Python
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