Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product

Xian, George Z.; Smith, Kelcy; Wellington, Danika; Horton, Josephine; Zhou, Qiang; Li, Congcong; Auch, Roger; Brown, Jesslyn F.; Zhu, Zhe; Reker, Ryan R.

doi:https://doi.org/10.5194/essd-14-143-2022

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.

https://doi.org/10.5194/essd-14-143-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

Data description paper

|

19 Jan 2022

Data description paper |

| 19 Jan 2022

Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product

George Z. Xian, Kelcy Smith, Danika Wellington, Josephine Horton, Qiang Zhou, Congcong Li, Roger Auch, Jesslyn F. Brown, Zhe Zhu, and Ryan R. Reker

Supplement

https://doi.org/10.5194/essd-14-143-2022-supplement

Data sets

LCMAP Collection 1 Science Products (https://earthexplorer.usgs.gov/) LCMAP https://doi.org/10.5066/P9W1TO6E

Land Change Monitoring, Assessment, and Projection (LCMAP) Version 1.0 Annual Land Cover and Lans Cover Change Validation Tables B. W. Pengra, S. V. Stehman, J. A. Horton, and D. F. Wellington https://doi.org/10.5066/P98EC5XR

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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.