Articles | Volume 14, issue 1
https://doi.org/10.5194/essd-14-143-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-143-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA
Kelcy Smith
KBR, contractor to the USGS EROS Center, Sioux Falls, SD 57198, USA
Danika Wellington
KBR, contractor to the USGS EROS Center, Sioux Falls, SD 57198, USA
Josephine Horton
KBR, contractor to the USGS EROS Center, Sioux Falls, SD 57198, USA
Qiang Zhou
ASRC Federal Data Solutions (AFDS), contractor to the USGS EROS Center, Sioux Falls, SD 57198, USA
Congcong Li
ASRC Federal Data Solutions (AFDS), contractor to the USGS EROS Center, Sioux Falls, SD 57198, USA
Roger Auch
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA
Jesslyn F. Brown
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA
Zhe Zhu
Department of Natural Resources and the Environment, University of
Connecticut, Storrs, CT 06269, USA
Ryan R. Reker
KBR, contractor to the USGS EROS Center, Sioux Falls, SD 57198, USA
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Benjamin Page, Christopher Crawford, Saeed Arab, Gail Schmidt, Christopher Barnes, and Danika Wellington
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-317, https://doi.org/10.5194/essd-2025-317, 2025
Preprint under review for ESSD
Short summary
Short summary
The purpose of this paper is to communicate USGS EROS objectives for operationalizing global Level 2 Aquatic Reflectance (AR) science products for Landsat satellite missions through the Science Algorithms to Operations (SATO) process.
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Short summary
Continuous change detection algorithms were implemented with time series satellite records to produce annual land surface change products for the conterminous United States. The land change products are in 30 m spatial resolution and represent land cover and change from 1985 to 2017 across the country. The LCMAP product suite provides useful information for land resource management and facilitates studies to improve the understanding of terrestrial ecosystems.
Continuous change detection algorithms were implemented with time series satellite records to...
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