Remote Sensing Disaster Mapping ML Frameworks
Deep learning models for detecting and mapping natural disasters (floods, landslides, wildfires, glacial hazards) using satellite and aerial imagery. Does NOT include general remote sensing, weather forecasting, or non-disaster environmental monitoring like crop/wetland mapping.
There are 39 remote sensing disaster mapping frameworks tracked. 1 score above 50 (established tier). The highest-rated is DPIRD-DMA/OmniWaterMask at 63/100 with 31 stars and 7,716 monthly downloads.
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
DPIRD-DMA/OmniWaterMask
Python library for high-accuracy water segmentation in satellite and aerial... |
|
Established |
| 2 |
prs-eth/Popcorn
[RSE 2024] 🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1... |
|
Emerging |
| 3 |
sei-latam/WETSAT_v2
Wetlands flooding extent and trends using SATellite data and Machine Learning v2.0 |
|
Emerging |
| 4 |
xinluo2018/WatNetv2
A new WatNet version which further extends the data applicability from... |
|
Emerging |
| 5 |
sidgan/ETCI-2021-Competition-on-Flood-Detection
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical... |
|
Emerging |
| 6 |
Vis4SciML/Landscaper
Landscaper is a comprehensive Python framework designed for exploring the... |
|
Emerging |
| 7 |
iarai/Landslide4Sense-2022
Data description and baseline code for LandSlide4Sense 2022 competition |
|
Emerging |
| 8 |
WRHGroup/PyLandslide
Machine learning-assisted Python tool for landslide susceptibility mapping... |
|
Emerging |
| 9 |
KonstantinosF/Flood-Detection---Satellite-Images
This is a Semester Project which aim is to implement a Deep Learning model... |
|
Emerging |
| 10 |
xinluo2018/WatNet
A deep learning model for surface water mapping based on satellite optical image. |
|
Emerging |
| 11 |
SatelliteVu/SatelliteVu-AWS-Disaster-Response-Hackathon
Satellite Vu submission for the AWS Disaster Response hackathon |
|
Emerging |
| 12 |
kushanavbhuyan/Large-scale-multi-spatiotemporal-landslide-mapping
By using the pre-trained models, this method enables quick and simple... |
|
Emerging |
| 13 |
victsnet/SCB-Net
Lithological Mapping Using Spatially Constrained Bayesian Network (SCB-net):... |
|
Experimental |
| 14 |
iamtekson/landslide4sense-solution
This repo is the solution for landslide4Sense challenge. |
|
Experimental |
| 15 |
CLi-de/D_LSM
Dynamic landslide susceptibility assessment using deep learning techniques |
|
Experimental |
| 16 |
jayakumarpujar/wetlands-mapping-with-geoai
Weakly supervised deep learning for 1m wetland mapping using multi-temporal... |
|
Experimental |
| 17 |
leizhang-geo/CNN-LSTM_for_DSM
Using CNN-LSTM deep learning model for digital soil mapping. This is the... |
|
Experimental |
| 18 |
anadya-s/Satellite-Flood-Detection-UNet
Deep Learning model to detect floodwater in satellite imagery using PyTorch... |
|
Experimental |
| 19 |
Multihuntr/gff
A Global (near-coastal) Flood Forecasting (GFF) dataset |
|
Experimental |
| 20 |
dr-lizhiwei/SeamlessFloodMapper
Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data |
|
Experimental |
| 21 |
KonstantinosF/Flood-Mapping-Using-Satellite-Images
MSc Thesis - Data Science - UoP & NCSR "Demokritos" |
|
Experimental |
| 22 |
ImProta/LandslideML
A Python Package for generating Machine Learning Models for Landslide... |
|
Experimental |
| 23 |
murad-geoAi/DL_Application_for_Landslide_Susceptibility_Mapping
Deep learning framework for Landslide Susceptibility Mapping using... |
|
Experimental |
| 24 |
xinluo2018/Tibet-Water-2020
Monthly surface water mapping in Tibet plateau based on deep learning method... |
|
Experimental |
| 25 |
awatiffawang/SFC-using-CNN-Parihaka-3D
The project aims to predict seismic facies in a deep learning multi-class... |
|
Experimental |
| 26 |
jerbeario/HazardMapper
A deep learning framework for single and multi-hazard susceptibility mapping... |
|
Experimental |
| 27 |
mallickboy/land-slide-prediction
📌 Landslide Detection with Satellite Imagery & Machine Learning . The CNN... |
|
Experimental |
| 28 |
shivatejapecheti/Flood-detection-and-estimation-in-Aerial-Imagery-using-Deep-Learning
Leveraging Deep Learning for Flood detection and estimation in Aerial Imagery |
|
Experimental |
| 29 |
RETprojects/FloodScan
Georgia Tech CS 7643 (Deep Learning) Final Project: Flood Mapping Semantic... |
|
Experimental |
| 30 |
Kalana-Dissanayake/Landslide-Probability-Model
Landslide Prediction Model |
|
Experimental |
| 31 |
Cespial/colombia-flood-risk
Municipality-Scale Flood Risk Mapping across Colombia — 7 departments... |
|
Experimental |
| 32 |
muhammedsaidali/Kerala-Flood-DL
Kerala Flood Damage Assessment using Deep Learning |
|
Experimental |
| 33 |
kuroi17/CoastalAssesment
A machine learning Jupyter project for coastal analysis that organizes... |
|
Experimental |
| 34 |
0xnomy/glacier-vision
Deep learning models for detecting and segmenting glacial lakes to assess GLOF risks |
|
Experimental |
| 35 |
Benyaminhosseiny/WetNet
WetNet: An Ensemble SAR/Optical Deep model for Wetland Mapping |
|
Experimental |
| 36 |
VaiBhaVSinGh91/FloodHawk
This project leverages deep learning to detect and analyze flood-affected... |
|
Experimental |
| 37 |
jesseburlamaque/floodplain-area-classifier
Floodplain Area Classifier Using Optical and Radar Imagery |
|
Experimental |
| 38 |
arhadsana/Soil-EC-Prediction
The repository contains code files for the paper titled "Predictive Modeling... |
|
Experimental |
| 39 |
emilyzhou112/MUSA6500-Pennsylvania-CRD
Final Project for MUSA 6500 Geospatial Machine Learning in Remote Sensing |
|
Experimental |