Coastline Model Development

Contract

This is a UNV contract. More about UNV contracts.

IICPSD’s SDG AI Lab initiative (sdgailab.org) requires assistance in further develop and potentially migrate an existing coastline recession tool. The tool can be visited under: https://github.com/kvos/CoastSat . This model was implemented and customized by our partners and needs further development. The tool is based in Python and is able to detect shorelines based on publicly available Satellite Images. The images are leveraged by using Google Earth Engine. The results of this tool were implemented in the experimental service called Google Earth Engine Apps. We will be working in a SCRUM based process and try to iteratively explore the solutions for the problem. The goal is to achieve milestones every 3 weeks and to finish the work after 3 months. Our partners will be leading the decision-making process and set goals and targets to the team of volunteers to achieve the required outputs. The Lab provides in-house expertise, resources, and research support to various UNDP projects to mainstream digital transformation to development problems and to contribute to the achievement of the Sustainable Development Goals.

The online volunteers will participate in migrating an existing online tool implemented in Google Earth Engine Apps to a new environment. The task might also involve the development of new features for the existing tool, which is based on a coastline recession model (link in the background section).

Bachelor’s (or higher) in Computer Science, Frontend development might be required), hence skills in JavaScript, Python, HTML (depending on the framework chosen). Further, since the model is a geophysical simulation, Geoengineering, Geomatics, Geography, Statistics, or related field with strong interest in Data Science are beneficial; Understanding and knowledge of analytical techniques such as predictive analytics, event detection / prediction, data visualization, and experience machine learning modeling is a plus.