Flood Python Toolbox
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Updated
Oct 26, 2024 - Jupyter Notebook
Flood Python Toolbox
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
R 📦 for flood forecasting via the National Water Model
This is the repository file of HydroPol2D Model
In this repository I am sharing a pipeline I have created to ingest, preprocess and finaly create an analysis ready products based on Sentinel 1 and Sentinel 2 images.
Flood mapping and damage assessment in GEE
Ode To Transient Ancho de los Rivers: Transient evolution of river-channel width in response to river discharge and bank and sediment properties.
a crowd-sourcing platform to provide latest updates, database of welfare organizations, local fundraisers and volunteers for ongoing flood relief efforts across Pakistan.
Crowdsourced repository to keep a track of all important official and unofficial sources of information regarding 2022 Assam Floods, to help citizens monitor and track the on-ground situation and rally their support
An analysis of South-East QLD rainfall and catchment levels between 1899–2022.
A wrapper for the national river flow archive (nrfa). This is a record of river flows in the United Kingdom. More information about the nrfa can be found here: https://nrfa.ceh.ac.uk/. The authors of this package are not affiliated with the nfra and this is not an official CEH software package.
Help in Develop a machine learning algorithm to predict flood events in the Emilia-Romagna region of Italy, enhancing early warning systems and improving disaster preparedness.
The goal of this projet is to predict future disasters (droughts, floods, and storms) and their impact, and represent these predictions on a dashboard.
This is an Emergency Response system built for providing connection with relief camps in case of floods.
Case Studies on Earthquakes and Floods and deriving solutions for urgent recovery
Flood detector using effientnet as semantic segmentation model
Urban flood database
Exploring natural disaster data through detailed analysis and visualizations to forecast floods and storms
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