KuroSiwo
Flood mapper
A large-scale dataset and software framework for remote sensing-based flood mapping using SAR data
Code and data for Kuro Siwo flood mapping dataset
39 stars
5 watching
3 forks
Language: Python
last commit: about 1 month ago
Linked from 1 awesome list
computer-visionfloodremote-sensingsarsynthetic-aperture-radar
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kleok/floodpy | A Python toolbox for mapping non-urban flooded regions using satellite data and machine learning algorithms | 170 |
 noaa-owp/ras2fim | Automates flood inundation mapping from HEC-RAS models to support real-time and predictive floodplain mapping. | 51 |
 servir-mekong/hydra-floods | A Python package for analyzing remote sensing data to produce high-quality surface water maps in near real-time. | 165 |
| noaa-owp/inundation-mapping | Software for generating flood inundation maps and evaluating their accuracy using U.S. National Water Model data | 95 |
 isikdogan/rivamap | Analyzes and maps river networks from remote sensing data using automated techniques. | 71 |
 mikejohnson51/floodmapping | Tools for mapping flood extents from National Water Model data | 30 |
 geospatialresearch/digital-twins | An application that uses data and machine learning to predict the impact of flood events on infrastructure assets | 15 |
 csaybar/ee-fastapi | A web application for flood detection using satellite data and Google Earth Engine | 83 |
 pyrocko/kite | Software for processing InSAR surface displacement data in support of earthquake modeling | 79 |
 remotesensinginfo/arcsi | Automates data processing for Earth Observation imagery from various satellites | 35 |
 jensdebruijn/global-flood-monitor | Detects floods in real-time using social media data and creates a global database of historic flood events | 26 |
 cloudtostreet/modis_globalflooddatabase | Provides tools and data for analyzing flood events and estimating population exposure to floods using satellite imagery. | 96 |
 nrcan/ricorde | Software that generates gridded water depth estimates from flood inundation data using machine learning and algorithms. | 3 |
| orion-ai-lab/s4a | A dataset and software toolkit for deep learning-based crop classification and segmentation from Sentinel-2 satellite imagery | 89 |
 kraina-ai/srai | A Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks | 219 |