10000 lorenzonava96 (Lorenzo Nava) · GitHub
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  1. Landslide-mapping-on-SAR-data-by-Attention-U-Net Landslide-mapping-on-SAR-data-by-Attention-U-Net Public

    This repository contains codes and sample data from the journal paper "Rapid Mapping of landslide on SAR data by Attention U-net" by Nava et al (2022). With this repository files you can train the …

    Jupyter Notebook 24 9

  2. Landslide-Displacement-Forecasting-using-seven-Deep-Learning-architectures-and-monitoring-data Landslide-Displacement-Forecasting-using-seven-Deep-Learning-architectures-and-monitoring-data Public

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  3. SAR-and-DL-for-Landslide-Rapid-Assessment SAR-and-DL-for-Landslide-Rapid-Assessment Public

    In this repository, we introduce a practical, all-weather, day-night SAR-based Landslide Rapid Assessment tool (SAR-LRA). Utilizing Deep Neural Networks (DNN), this tool is tailored for landslide d…

    Jupyter Notebook 16 8

  4. HR-GLDD-A-Global-Landslide-Mapping-Data-Repository HR-GLDD-A-Global-Landslide-Mapping-Data-Repository Public

    Forked from kushanavbhuyan/HR-GLDD-A-Global-Landslide-Mapping-Data-Repository

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  5. TerraTrack TerraTrack Public

    🛰️ TerraTrack is an open-source workflow for detecting and monitoring slow-moving landslides using Sentinel-2 imagery and optical feature tracking. It is fully reproducible via Google Colab and sup…

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  6. Large-scale-multi-spatiotemporal-landslide-mapping Large-scale-multi-spatiotemporal-landslide-mapping Public

    Forked from kushanavbhuyan/Large-scale-multi-spatiotemporal-landslide-mapping

    By using the pre-trained models, this method enables quick and simple mapping of landslides at various spatiotemporal scales. The method also offers the adaptability of re-training a pretrained mod…

    Jupyter Notebook 1

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