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cs.LG2026
Distilling deep optical flow stereo methods to retrieve dense three-dimensional wind fields
Thomas J. Vandal, Dong L. Wu, James L. Carr +5
Geostationary atmospheric motion vectors (AMVs) provide the dense horizontal wind vectors (u,v) and heights ingested into data assimilation systems. Traditional AMVs track features…
cs.LG2026
Intercomparison of Machine Learning Algorithms for Remote Sensing-based In-season Crop Mapping
August Posch, Jitendra Kumar, Forrest M. Hoffman +1
In-season crop type mapping is critical for food security in the face of increasingly extreme climate-related threats to crops. Currently, the USDA Cropland Data Layer provides cro…