Google Earth Engine satellite extraction pipeline
Monthly NDVI, EVI, NDWI, NDRE and Sentinel-1 radar indices for Cameroonian crop regions, with a Landsat 5 to GIMMS fallback for pre-2000 gaps.
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The impact of socio-economic data on deep learning crop yield prediction in Cameroon
In preparation. A controlled nested-dataset experiment isolating the marginal contribution of satellite, climate and socio-economic data across six deep learning architectures.
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Deep learning for crop monitoring: a systematic review
Mbalkam et al. (2025). A PRISMA systematic review of 87 studies across 10 deep learning architecture families applied to crop monitoring.