AlphaEarth embeddings evaluated for crop classification across US and India
64-dimensional embeddings separate similar crops better than NDVI or harmonics, but transfer worse from the US to India.
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64-dimensional embeddings separate similar crops better than NDVI or harmonics, but transfer worse from the US to India.
ConvLSTM forecasts regional desertification trends in Ceará but not cell-level land degradation.
Architecture search yields a 409-parameter Sentinel-2 bloom model, lifting AUC to 0.820.
Self-supervised encoder plus anomaly detection pipeline compresses hyperspectral satellite imagery onboard to flag oil spills and algal blooms.
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