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...

63
Established
2 prs-eth/Popcorn

[RSE 2024] 🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1...

45
Emerging
3 sei-latam/WETSAT_v2

Wetlands flooding extent and trends using SATellite data and Machine Learning v2.0

41
Emerging
4 xinluo2018/WatNetv2

A new WatNet version which further extends the data applicability from...

40
Emerging
5 sidgan/ETCI-2021-Competition-on-Flood-Detection

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical...

40
Emerging
6 Vis4SciML/Landscaper

Landscaper is a comprehensive Python framework designed for exploring the...

39
Emerging
7 iarai/Landslide4Sense-2022

Data description and baseline code for LandSlide4Sense 2022 competition

39
Emerging
8 WRHGroup/PyLandslide

Machine learning-assisted Python tool for landslide susceptibility mapping...

38
Emerging
9 KonstantinosF/Flood-Detection---Satellite-Images

This is a Semester Project which aim is to implement a Deep Learning model...

36
Emerging
10 xinluo2018/WatNet

A deep learning model for surface water mapping based on satellite optical image.

32
Emerging
11 SatelliteVu/SatelliteVu-AWS-Disaster-Response-Hackathon

Satellite Vu submission for the AWS Disaster Response hackathon

32
Emerging
12 kushanavbhuyan/Large-scale-multi-spatiotemporal-landslide-mapping

By using the pre-trained models, this method enables quick and simple...

30
Emerging
13 victsnet/SCB-Net

Lithological Mapping Using Spatially Constrained Bayesian Network (SCB-net):...

28
Experimental
14 iamtekson/landslide4sense-solution

This repo is the solution for landslide4Sense challenge.

27
Experimental
15 CLi-de/D_LSM

Dynamic landslide susceptibility assessment using deep learning techniques

26
Experimental
16 jayakumarpujar/wetlands-mapping-with-geoai

Weakly supervised deep learning for 1m wetland mapping using multi-temporal...

26
Experimental
17 leizhang-geo/CNN-LSTM_for_DSM

Using CNN-LSTM deep learning model for digital soil mapping. This is the...

26
Experimental
18 anadya-s/Satellite-Flood-Detection-UNet

Deep Learning model to detect floodwater in satellite imagery using PyTorch...

26
Experimental
19 Multihuntr/gff

A Global (near-coastal) Flood Forecasting (GFF) dataset

26
Experimental
20 dr-lizhiwei/SeamlessFloodMapper

Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data

25
Experimental
21 KonstantinosF/Flood-Mapping-Using-Satellite-Images

MSc Thesis - Data Science - UoP & NCSR "Demokritos"

25
Experimental
22 ImProta/LandslideML

A Python Package for generating Machine Learning Models for Landslide...

24
Experimental
23 murad-geoAi/DL_Application_for_Landslide_Susceptibility_Mapping

Deep learning framework for Landslide Susceptibility Mapping using...

22
Experimental
24 xinluo2018/Tibet-Water-2020

Monthly surface water mapping in Tibet plateau based on deep learning method...

20
Experimental
25 awatiffawang/SFC-using-CNN-Parihaka-3D

The project aims to predict seismic facies in a deep learning multi-class...

19
Experimental
26 jerbeario/HazardMapper

A deep learning framework for single and multi-hazard susceptibility mapping...

17
Experimental
27 mallickboy/land-slide-prediction

📌 Landslide Detection with Satellite Imagery & Machine Learning . The CNN...

16
Experimental
28 shivatejapecheti/Flood-detection-and-estimation-in-Aerial-Imagery-using-Deep-Learning

Leveraging Deep Learning for Flood detection and estimation in Aerial Imagery

16
Experimental
29 RETprojects/FloodScan

Georgia Tech CS 7643 (Deep Learning) Final Project: Flood Mapping Semantic...

16
Experimental
30 Kalana-Dissanayake/Landslide-Probability-Model

Landslide Prediction Model

15
Experimental
31 Cespial/colombia-flood-risk

Municipality-Scale Flood Risk Mapping across Colombia — 7 departments...

14
Experimental
32 muhammedsaidali/Kerala-Flood-DL

Kerala Flood Damage Assessment using Deep Learning

14
Experimental
33 kuroi17/CoastalAssesment

A machine learning Jupyter project for coastal analysis that organizes...

14
Experimental
34 0xnomy/glacier-vision

Deep learning models for detecting and segmenting glacial lakes to assess GLOF risks

13
Experimental
35 Benyaminhosseiny/WetNet

WetNet: An Ensemble SAR/Optical Deep model for Wetland Mapping

12
Experimental
36 VaiBhaVSinGh91/FloodHawk

This project leverages deep learning to detect and analyze flood-affected...

11
Experimental
37 jesseburlamaque/floodplain-area-classifier

Floodplain Area Classifier Using Optical and Radar Imagery

11
Experimental
38 arhadsana/Soil-EC-Prediction

The repository contains code files for the paper titled "Predictive Modeling...

11
Experimental
39 emilyzhou112/MUSA6500-Pennsylvania-CRD

Final Project for MUSA 6500 Geospatial Machine Learning in Remote Sensing

11
Experimental