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 41 remote sensing disaster mapping frameworks tracked. 2 score above 50 (established tier). The highest-rated is DPIRD-DMA/OmniWaterMask at 58/100 with 31 stars.

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#	Framework	Score	Tier	Stars	Language
1	DPIRD-DMA/OmniWaterMask Python library for high-accuracy water segmentation in satellite and aerial...	58	Established	31	Python
2	prs-eth/Popcorn [RSE 2024] 🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1...	52	Established	43	Jupyter Notebook
3	xinluo2018/WatNetv2 A new WatNet version which further extends the data applicability from...	47	Emerging	13	Jupyter Notebook
4	sei-latam/WETSAT_v2 Wetlands flooding extent and trends using SATellite data and Machine Learning v2.0	47	Emerging	5	Python
5	sidgan/ETCI-2021-Competition-on-Flood-Detection Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical...	47	Emerging	179	Jupyter Notebook
6	iarai/Landslide4Sense-2022 Data description and baseline code for LandSlide4Sense 2022 competition	46	Emerging	137	Python
7	KonstantinosF/Flood-Detection---Satellite-Images This is a Semester Project which aim is to implement a Deep Learning model...	43	Emerging	45	Jupyter Notebook
8	WRHGroup/PyLandslide Machine learning-assisted Python tool for landslide susceptibility mapping...	41	Emerging	30	Python
9	Vis4SciML/Landscaper Landscaper is a comprehensive Python framework designed for exploring the...	41	Emerging	41	Python
10	xinluo2018/WatNet A deep learning model for surface water mapping based on satellite optical image.	39	Emerging	117	Jupyter Notebook
11	SatelliteVu/SatelliteVu-AWS-Disaster-Response-Hackathon Satellite Vu submission for the AWS Disaster Response hackathon	39	Emerging	60	Jupyter Notebook
12	kushanavbhuyan/Large-scale-multi-spatiotemporal-landslide-mapping By using the pre-trained models, this method enables quick and simple...	37	Emerging	22	Jupyter Notebook
13	victsnet/SCB-Net Lithological Mapping Using Spatially Constrained Bayesian Network (SCB-net):...	35	Emerging	3	Jupyter Notebook
14	iamtekson/landslide4sense-solution This repo is the solution for landslide4Sense challenge.	34	Emerging	56	Jupyter Notebook
15	CLi-de/D_LSM Dynamic landslide susceptibility assessment using deep learning techniques	33	Emerging	34	Python
16	Multihuntr/gff A Global (near-coastal) Flood Forecasting (GFF) dataset	33	Emerging	25	Python
17	leizhang-geo/CNN-LSTM_for_DSM Using CNN-LSTM deep learning model for digital soil mapping. This is the...	33	Emerging	89	Python
18	dr-lizhiwei/SeamlessFloodMapper Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data	32	Emerging	15	Python
19	KonstantinosF/Flood-Mapping-Using-Satellite-Images MSc Thesis - Data Science - UoP & NCSR "Demokritos"	32	Emerging	15	Jupyter Notebook
20	ImProta/LandslideML A Python Package for generating Machine Learning Models for Landslide...	29	Experimental	7	Python
21	murad-geoAi/DL_Application_for_Landslide_Susceptibility_Mapping Deep learning framework for Landslide Susceptibility Mapping using...	28	Experimental	4	Jupyter Notebook
22	xinluo2018/Tibet-Water-2020 Monthly surface water mapping in Tibet plateau based on deep learning method...	27	Experimental	14	Jupyter Notebook
23	anadya-s/Satellite-Flood-Detection-UNet Deep Learning model to detect floodwater in satellite imagery using PyTorch...	26	Experimental	3	Jupyter Notebook
24	awatiffawang/SFC-using-CNN-Parihaka-3D The project aims to predict seismic facies in a deep learning multi-class...	26	Experimental	7	Jupyter Notebook
25	jayakumarpujar/wetlands-mapping-with-geoai Weakly supervised deep learning for 1m wetland mapping using multi-temporal...	26	Experimental	6	Python
26	RETprojects/FloodScan Georgia Tech CS 7643 (Deep Learning) Final Project: Flood Mapping Semantic...	23	Experimental	3	Jupyter Notebook
27	mallickboy/land-slide-prediction 📌 Landslide Detection with Satellite Imagery & Machine Learning . The CNN...	23	Experimental	3	Jupyter Notebook
28	shivatejapecheti/Flood-detection-and-estimation-in-Aerial-Imagery-using-Deep-Learning Leveraging Deep Learning for Flood detection and estimation in Aerial Imagery	23	Experimental	3	Jupyter Notebook
29	Kalana-Dissanayake/Landslide-Probability-Model Landslide Prediction Model	22	Experimental	2	Jupyter Notebook
30	0xnomy/glacier-vision Deep learning models for detecting and segmenting glacial lakes to assess GLOF risks	20	Experimental	6	Jupyter Notebook
31	Benyaminhosseiny/WetNet WetNet: An Ensemble SAR/Optical Deep model for Wetland Mapping	19	Experimental	3	Jupyter Notebook
32	VaiBhaVSinGh91/FloodHawk This project leverages deep learning to detect and analyze flood-affected...	18	Experimental	2	Jupyter Notebook
33	jerbeario/HazardMapper A deep learning framework for single and multi-hazard susceptibility mapping...	17	Experimental	—	Python
34	muhammedsaidali/Kerala-Flood-DL Kerala Flood Damage Assessment using Deep Learning	14	Experimental	—	Python
35	jesseburlamaque/floodplain-area-classifier Floodplain Area Classifier Using Optical and Radar Imagery	13	Experimental	—	JavaScript
36	kuroi17/CoastalAssesment A machine learning Jupyter project for coastal analysis that organizes...	13	Experimental	—	Jupyter Notebook
37	arhadsana/Soil-EC-Prediction The repository contains code files for the paper titled "Predictive Modeling...	13	Experimental	—	Jupyter Notebook
38	emilyzhou112/MUSA6500-Pennsylvania-CRD Final Project for MUSA 6500 Geospatial Machine Learning in Remote Sensing	13	Experimental	—	Jupyter Notebook
39	Geo3D-AI-CSU/CNN4LSM Multi-scale convolutional neural networks (CNNs) for landslide inventory...	12	Experimental	5	Python
40	Cespial/colombia-flood-risk Municipality-Scale Flood Risk Mapping across Colombia — 7 departments...	11	Experimental	—	Python
41	gcjordi/rfsignalsml_spectrumsensdisasters_jgc RF Signals ML demo with SpectrumSens system for hackathon AWS Disaster Response.	11	Experimental	—	HTML

Comparisons in this category

WatNetv2 and WatNet (47 vs 39) PyLandslide and LandslideML (41 vs 29)