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Leveraging GIS and ML for improving circular economy prospects in Kenya

The effects of climate change have had a drastic effect on farmland productivity and crop yields all around the world - especially smallholder farms in the developing world. Coupled with poor soil quality, farmers are facing an ever mounting challenge of keeping up with the market which is starting to become dominated by commercial farms.

In this project, DataKind has partnered with Regen Organics, at performing a data-driven study of farmlands throughout Kenya with the goal of improving the prospects of circular economy in the country.

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This repository contains code for generating Sentinel-2 imagery using GEE and SentinelHub Python API and applying Segment Anything Geospatial at scale.

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