Remote Sensing with LP DAAC Data Assets and Cloud Processing – Part 2: Introduction to Cloud-based Remote Sensing Data Access and Processing with Python


Published: May 20, 2022

In May 2022 the LP DAAC provided a 2-day workshop series called "Remote Sensing with LP DAAC: Data Assets and Cloud Processing" to the University of California - Davis, Berkeley, and Agriculture and Natural Resources. This is a recording of Day 2. Topics covered include: accessing cloud data from different AWS buckets; working with cloud optimized GeoTIFFS; searching for cloud data assets in the Earthdata Cloud using the CMR-STAC API; and accessing and processing Harmonized Landsat Sentinel-2 (HLS) in Python.

Relevant Products

Product Long Name
HLSS30.015 HLS Sentinel-2 MSI Surface Reflectance Daily Global 30 m
HLSL30.015 HLS Landsat-8 OLI Surface Reflectance and TOA Brightness Daily Global 30 m
HLSS30.002 HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m
HLSL30.002 HLS Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m


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