SR4C3: Super Resolution for Climate Crisis Context

Project Showcase

SR4C3: Super Resolution for Climate Crisis Context

At CMC, we are committed to leveraging the latest advancements in technology to enhance our work and deliver impactful solutions. The SR4C3 project embodies this commitment by harnessing the power of artificial intelligence (AI) and super-resolution techniques to significantly improve the quality and accuracy of satellite imagery. With the SR4C3 project, we have worked with our partner Sistema focusing on how to adapt their SR tool in the context wherein we work as CMC, mainly monitoring and evaluation (M&E) efforts and understanding the climate crisis context, particularly in hard-to-reach areas.

Conducting M&E and analysing the effects of the climate crisis in remote or inaccessible regions can be challenging due to the limitations of traditional data collection methods. Satellite imagery offers a solution to these challenges, but its usefulness is often restricted by the resolution and quality of the images available. To address this issue, our team developed the SR4C3 project, aimed at testing how to use enhanced satellite imagery through AI-powered super-resolution techniques, in the sector wherein CMC work.

Building on the success of the SR4C3 project, we plan to continue refining our use of remote sensing technologies and exploring how new technologies can be used in our field. This will ensure that we keep can provide innovative solutions and remain at the forefront of M&E efforts and climate crisis analysis in hard-to-reach areas, driving meaningful change and lasting impact.