Earth Observation Water Toolkit

We’re excited to announce a new addition to the SEED Open Data Portal – the Earth Observation Water Toolkit!

We’re excited to announce a new addition to the SEED Open Data Portal – the Earth Observation Water Toolkit!

This open-source toolkit is based on Google Earth Engine (GEE) and provides an efficient algorithm for mapping water surface area time-series in waterbodies using Landsat and Sentinel-2 imagery. Developed as part of our commitment to leveraging remote sensing technology for water management, this toolkit enables you to extract water surface area data over time for input waterbody polygons.

? Why this matters:

  • Helps monitor water surface area changes over time in waterbodies.
  • Enables better water management decisions using open-source satellite data.
  • Supports researchers, policy-makers, and developers in using advanced remote sensing tools.

? Get Involved!
How do you think this toolkit could benefit your work or research? We’re eager to hear your thoughts and questions! Please share your comments by clicking 'Reply' below.

? Get Started
The GitHub repository contains detailed documentation and Python and JavaScript scripts for running the algorithm. Users must have a Google Earth Engine project to utilise the toolkit fully. You can access the code repository here.

? We invite you to contribute to this Forum:
Your feedback, comments, or questions are highly valued.

Type
Announcement
Topic
Datasets

Earth Observation Water Toolkit

Overview

The link points to a GitHub repository. This code repository presents an efficient Google Earth Engine (GEE)-based algorithm to mapping water surface area time-series in waterbodies from Landsat and Sentinel-2. Detailed documentation is contained to run the tool on a set of input waterbodies. The GitHub repository contains a set of Python scripts to automatically extract time-series of water surface area for a set of input polygons. _NB: Google Earth Engine project is needed to run this toolkit._ Image: Example Interactive Map ![example_interactive_map_resized]( https://github.com/u...
The link points to a GitHub repository. This code repository presents an efficient Google Earth Engine (GEE)-based algorithm to mapping water surface area time-series in waterbodies from Landsat and Sentinel-2. Detailed documentation is contained to run the tool on a set of input waterbodies. The GitHub repository contains a set of Python scripts to automatically extract time-series of water surface area for a set of input polygons. _NB: Google Earth Engine project is needed to run this toolkit._ Image: Example Interactive Map ![example_interactive_map_resized]( https://github.com/user-attachments/assets/4485b25d-35d2-4af1-8de0-89e40a08f1e6)

Dataset Resources

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19 Sep 2024
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