ECOSTRESS Global Cloud Mask Data at 70-Meter Resolution

2018 to present data from the ECOSTRESS instrument on the International Space Station. The dataset provides a gridded cloud mask product for determining cloud cover to support accurate land surface temperature and evapotranspiration estimation. It is produced by LPCLOUD from the ECO_L2_CLOUD source data.

Use Cases

• Classify cloud presence using the final_cloud_mask layer for scene filtering in land surface analyses.
• Assess cloud detection certainty by analyzing the cloud_confidence layer values.
• Mask cloudy pixels in co-located ECOSTRESS temperature products to improve evapotranspiration estimates.
• Study cloud cover patterns between 52°N and 52°S latitudes using the global gridded data.

Strengths

• Global coverage between 52°N and 52°S latitudes.
• Provides two specific data layers: cloud_confidence and final_cloud_mask.
• Data is gridded to a consistent 0.0006° global grid for ease of use.

Limitations

• Contains documented data acquisition gaps, notably a prolonged period from 2019-2023 operating in a reduced 3-band mode.
• Specific row counts, file sizes, and total temporal coverage are not provided.

Provenance

Source

NASA LPCLOUD, derived from the ECO_L2_CLOUD Version 2 product.

Collection Method

Data acquired by the ECOSTRESS instrument on the ISS, processed using a single-channel Bayesian cloud threshold with a look-up-table approach, then resampled and gridded.

Time Range

2018 to present, with intermittent acquisition gaps.

Freshness

null

Geography

Global between 52°N and 52°S latitudes.