Sampling satellite time series by cumulative growing degree days instead of calendar time improves cross-year crop classification accuracy and uncertainty calibration.
Country- wide retrieval of forest structure from optical and sar satellite imagery with deep ensembles
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$T^{3}S$: Think in Thermal Time for Generalizable Crop Mapping from Satellite Image Time Series
Sampling satellite time series by cumulative growing degree days instead of calendar time improves cross-year crop classification accuracy and uncertainty calibration.