GitHub topics: flood-mapping
prachisarode95/Google-Earth-Engine-ChatGPT-Project
Practical geospatial analyses using ChatGPT prompts and Google Earth Engine JS API—based on UNU course exercises for vegetation, air quality, drought, floods & urban planning.
Size: 112 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
CivicDataLab/IDS-DRR-Assam-Risk-Model
Intelligent Data Solution - Disaster Risk Reduction is a system to assist flood management in the state of Assam through data-driven ways. The repository contains codes to extract relevant datasets and the modelling approach used to calculate Risk Scores for each revenue circle in Assam.
Language: Jupyter Notebook - Size: 836 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
dr-lizhiwei/TerrainFloodSense
Improving Seamless Flood Mapping with Cloudy Satellite Imagery via Water Occurrence and Terrain Data Fusion
Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
SarwanShah/Flood-Mapping-Using-Google-Earth-Engine-2024
A remote-sensing based application using Google Earth Engine for flood mapping and impact assessment.
Language: JavaScript - Size: 15.4 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
omidemam/Flood-mapping-of-2019-Gorgan-flood
In this repository, I share a class project in which I explored the Google Earth engine sentinel 1 SAR dataset potential to be used for flood mapping of the 2019 Gorgan flood.
Language: Jupyter Notebook - Size: 957 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1
itsharshi/FloodDetection-DeepLearning
This project leverages Sentinel-2 satellite imagery and a specialized U-Net deep learning model to detect changes in landscapes before and after flood events. Using the OMBRIA dataset, the model reliably identifies flooded areas to support disaster management and response efforts.
Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
dr-lizhiwei/SeamlessFloodMapper
Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data
Language: Python - Size: 33.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 7 - Forks: 3
filips123/KengurujiArnesHackathon
Submission for Kenguruji team for Arnes Hackathon 2024
Language: Jupyter Notebook - Size: 78.5 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
mebauer/floodmapping-sar
A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)
Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2
mebauer/stormwater-map-analysis-nyc
Analyzing NYC's Stormwater Flood Map - Extreme Flood Scenario
Language: Jupyter Notebook - Size: 609 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0
chathumal93/ALOS2-Flood-Mapping
This repository includes an automatic statistical-based flood mapping approach for ALOS2 Level 2.1 data. Additionally, this method of flood extraction utilizes Google Earth Engine's open data and processing capabilities.
Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2
mebauer/nyc-flood-layers
A Collection of Flood Hazard Layers for New York City.
Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0
Mahyarona/Flood-Detection-Algorithm-using-GEE
A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population
Language: JavaScript - Size: 1.85 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 37 - Forks: 20
UNITAR-UNOSAT/UNOSAT-AI-Based-Rapid-Mapping-Service
This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.
Language: Jupyter Notebook - Size: 4.93 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 41 - Forks: 14
vhertel/radar-based-flood-mapping
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 20
