Global-Flood-Monitor
Flood detector
Detects floods in real-time using social media data and creates a global database of historic flood events
A global database of historic and real-time flood events based on social media
26 stars
3 watching
9 forks
Language: Python
last commit: over 3 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Provides tools and data for analyzing flood events and estimating population exposure to floods using satellite imagery. | 96 | |
| A web application for flood detection using satellite data and Google Earth Engine | 84 | |
| Real-time coastal flooding forecasting system using ADCIRC-based storm tide modeling | 16 | |
| An application that simulates physical assets' performance under future flood scenarios using geographic data and machine learning models. | 16 | |
| Software that generates gridded water depth estimates from flood inundation data using machine learning and algorithms. | 3 | |
| Automates detection of surface water on Digital Globe imagery using Bayesian methods and Google Earth Engine. | 2 | |
| Automates flood inundation mapping from HEC-RAS models to support real-time and predictive floodplain mapping. | 50 | |
| An open-source decision-support tool that enables users to rapidly model and evaluate flood risks and adaptation options using physics-based compound flood modeling. | 6 | |
| A large-scale dataset and software framework for remote sensing-based flood mapping using SAR data | 44 | |
| A Python package for analyzing remote sensing data to produce high-quality surface water maps in near real-time. | 167 | |
| Tools for mapping flood extents from National Water Model data | 30 | |
| A Python toolbox for mapping non-urban flooded regions using satellite data and machine learning algorithms | 173 | |
| Automates downloading and processing of global reanalyses to generate meteorological time series | 19 | |
| An end-to-end machine learning pipeline for flood extent estimation from satellite images | 142 | |
| A framework to predict and analyze global delta change using sediment fluxes and geographical data | 18 |