Flood Python Toolbox

HYDrologic Remote sensing Analysis for Floods Python package

A deep learning model for surface water mapping based on satellite optical image.

Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

A Python package to create and analyze surface water networks.

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning

Mapping surface water and wetland hydrological dynamics using Google Earth Engine

A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.

A streamlit web app for mapping global surface water

The Danish Green National Accounts: Pollution of water ecosystem services

Code and data repository for "A Robust Three-stage Framework for Monthly Streamflow Forecasting: Nonstationary assessment, Stationarization-based modeling, and Reconstruction"

An open-source Python toolkit for identifying surface water and analyzing intermittent river patterns using remote sensing data.

This plugin calculates the distance between the borders for a certain range through the Reference Line Layer.

HYDrologic Remote sensing Analysis Viewer Application

R Package with Functions for Scraping Data of Wasserportal Berlin (https://wasserportal.berlin.de)

Python package for retrieving data from Aquarius Web Portal implementation APIs

Open Data Cube Software Project: https://datacube.remote-sensing.org/

🌍 Implement climate prediction models to transform global data into localized forecasts for effective water resource management and impact assessment.

R Package for Predicting Water Quality at Flussbad

Numerical Computational Research (2009–2014): Developed and validated a comprehensive suite of prediction and statistical downscaling methods for short- and long-term projections of climate, water resources, and their associated impacts.