dbdmg / rescue
Pytorch implementation of the Double-Step Framework to perform wildfires severity estimation from Sentinel-2 satellite images
☆14Updated 2 years ago
Alternatives and similar repositories for rescue:
Users that are interested in rescue are comparing it to the libraries listed below
- Location-aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting☆13Updated last year
- ☆11Updated 2 years ago
- Detection of burned areas using deep learning from satellite images☆15Updated 2 years ago
- Using Vision Transformers for enhanced wildfire detection in satellite images☆24Updated 2 years ago
- Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery☆16Updated last year
- The semantic segmentation of remote sensing images☆13Updated 2 years ago
- Here are the codes for the "WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping" paper.☆20Updated last year
- using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data☆12Updated 4 years ago
- Official repository of the ben-ge Earth Observation dataset☆18Updated last year
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆60Updated last year
- Shoreline extraction via generative adversarial networks, prediction via LSTMs☆23Updated last year
- This repository implements a framework to perform semantic segmentation of polarimetric SAR images, coming form Sentinel satellites, usin…☆16Updated 3 years ago
- This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 …☆20Updated 8 months ago
- Soil parameter estimation from hyperspectral satellite images☆22Updated 2 years ago
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆19Updated 2 years ago
- The pytorch implementation for "DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images".☆11Updated 2 years ago
- CD algorithms available in cloudSEN12☆19Updated 2 years ago
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆15Updated last year
- Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge☆25Updated last year
- ☆31Updated last year
- S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images☆30Updated 8 months ago
- ☆10Updated 2 months ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆42Updated last year
- We build a challenging cloud detection dataset called AIR-CD, with higher spatial resolution and more representative landcover types.☆14Updated 4 years ago
- Starter-pack for the AI4EO Food Security Challenge☆22Updated last year
- ☆31Updated last year
- SegEval is a Python library that provides tools for evaluating semantic segmentation models☆11Updated last year
- Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by …☆10Updated 2 years ago
- Python implementation of image segmentation algorithm of Shepherd et al (2019) Operational Large-Scale Segmentation of Imagery Based on I…☆11Updated last month
- Official code for 🔥 Unsupervised Wildfire Change Detection based on Contrastive Learning 🔥☆20Updated last year