Scale s2cloudless cloud probability algorithm computation for hundreds of thousands of agricultural fields in Sentinel-2 temporal coverage range to enable tunable cloud-masking by cloud probability score.
Geospatial remote sensing data pipeline for cloud masking by s2cloudless-derived cloud probability score.
Descartes Labs (DL) Python APIs to retrieve remote sensing data and compute cloud probability scores at scale; flexible cloud masking data objects with numpy and xarray
Built scalable geospatial remote sensing data pipeline for computing cloud probability using the Descartes Labs platform for retrieving and applying the s2cloudless algorithm over thousands of fields
