Coastline Detection Model, Debugging, Testing and Development

Contract

This is a UNV contract. More about UNV contracts.

IICPSD’s SDG AI Lab initiative (sdgailab.org) and ITM require assistance in the development of Coastal Change detection solutions. We are working on the improvement on an existing tool based on the CoastSat module (https://doi.org/10.1016/j.envsoft.2019.104528). (https://github.com/kvos/CoastSat)

We will be working in a SCRUM based process and try to iteratively explore the solutions for the problem. 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 assist SDG AI LAB and ITM in 1) debugging + stress testing and 2) migrating an existing Coastline Change Tool to a new environment. The project is currently in stage 1, where extensive analysis and stress testing is required. The volunteers are first asked to validate and inspect the existing implementation and report the findings on GitHub and or in Notebooks. After this, solution-oriented work is required to remove the existing errors or at least improve the situation. Later, the team will work on a standalone version of the tool, which can function outside of its current environment (Google Earth Engine Apps).

Bachelor’s (or higher) in Computer Science, Environmental Engineering, Geomatics, Geography, Statistics, or related field with strong interest in Data Science; Experience in working with geodata. Understanding and knowledge of analytical techniques such as predictive analytics, event detection / prediction,

data visualization. Applied knowledge of programming languages such as in Python or JavaScript are required.