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Landsat 7 Collection 2 cloud truth mask validation set

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 7 Collection 2 images. These images were selected at random from the Landsat 7 SLC-On archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is provided in GeoTIFF format, and includes all bands from the original Landsat 7 Level-1 Collection 2 data product (COG GeoTIFF), and its associated Level-1 metadata (MTL.txt file). The methodology used to create these masks is the same as in previous USGS Landsat cloud truth masks (http://doi.org/10.5066/F7251GDH). Pixels are marked as Cloud if the pixel contains opaque and clearly identifiable clouds. Pixels are marked as Thin Cloud if they contain clouds that are transparent or if their classification as cloud is uncertain. Pixels that contain clouds with less than 50% opacity, or which do not contain clouds at all, are marked as Clear. In some masks the borders around clouds have been dilated to encompass the edges around irregular clouds.

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Author(s) Pat Scaramuzza orcid
Publication Date 2022-07-22
Beginning Date of Data 1999-08-24
Ending Date of Data 2002-11-01
Data Contact
DOI https://doi.org/10.5066/P9ASLQQE
Citation Scaramuzza, P., 2022, Landsat 7 Collection 2 cloud truth mask validation set: U.S. Geological Survey data release, https://doi.org/10.5066/P9ASLQQE.
Metadata Contact
Metadata Date 2022-07-22
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Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-02-24T09:44:24.901Z