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
44 stars
5 watching
3 forks
Language: Python
last commit: 5 months ago
Linked from 1 awesome list
computer-visionfloodremote-sensingsarsynthetic-aperture-radar
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python toolbox for mapping non-urban flooded regions using satellite data and machine learning algorithms | 173 |
| Automates flood inundation mapping from HEC-RAS models to support real-time and predictive floodplain mapping. | 50 |
| A Python package for analyzing remote sensing data to produce high-quality surface water maps in near real-time. | 167 |
| Software tool for generating flood inundation maps and evaluating their accuracy using data from the U.S. National Water Model | 97 |
| Analyzes and maps river networks from remote sensing data using automated techniques. | 71 |
| Tools for mapping flood extents from National Water Model data | 30 |
| An application that simulates physical assets' performance under future flood scenarios using geographic data and machine learning models. | 16 |
| A web application for flood detection using satellite data and Google Earth Engine | 84 |
| Software for processing InSAR surface displacement data in support of earthquake modeling | 80 |
| Automates atmospheric correction and data preparation for Earth Observation imagery from various satellites. | 35 |
| Detects floods in real-time using social media data and creates a global database of historic flood events | 26 |
| Provides tools and data for analyzing flood events and estimating population exposure to floods using satellite imagery. | 96 |
| Software that generates gridded water depth estimates from flood inundation data using machine learning and algorithms. | 3 |
| A dataset and software toolkit for deep learning-based crop classification and segmentation from Sentinel-2 satellite imagery | 90 |
| A Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks | 225 |