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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Stories tagged #sentinel-2
LoCA co-aligns Sentinel encoders for geospatial location encoding
On 17 tasks LoCA wins 68.8% of per-task comparisons and is the only encoder ahead of every rival on a majority of tasks.
Evolutionary Architecture Search for Chlorophyll-$a$ Prediction in Lakes using Sentinel-2
Architecture search yields a 409-parameter Sentinel-2 bloom model, lifting AUC to 0.820.
Cropland PAtteRNS: Parallel Dimensional Attention Networks and Attention to Dataset Disparity for Crop Segmentation in Satellite Imagery Time Series Data
PAtteRNS factorizes temporal, spectral, and spatial attention for Sentinel-2 cropland segmentation.