Automating Land Use and Land Cover Mapping Using Computer Vision and Satellite Imagery

This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.

You will work on solving a local problem, initiated by the Omdena Douala, Cameroon Chapter.

The problem

Mapping the extent of land use and land cover categories over time is essential for better environmental monitoring, urban planning, nature protection, conflict prevention, disaster reduction, rescue planning as well as long-term climate adaptation efforts.

This initiative’s goal is to build a Machine Learning model that accurately classifies Land Use and Land Cover (LULC) in satellite imagery. Then use the trained model to automatically generate the LULC map for a region of interest. Finally, create a Web GIS dashboard containing the LULC Map of the region of interest.

The project results will be made open source. The aim is to help connect local organizations and communities to use AI tools and Earth Observations data as an action to cope with local challenges such as land use monitoring and the world’s most critical challenges like climate change. We also hope to encourage citizen science by open-source the dataset and code.

The goals

The goals of this challenge are:

• The Web GIS dashboard containing LULC Map of the region of interest.
• The ML models(s) with best performance.
• The datasets collected during the project on Google Drive for open access.
• GitHub Repo with Well-documented open source code.
• Documentation of the work and approach.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work