Articles | Volume 14, issue 1
https://doi.org/10.5194/essd-14-143-2022
https://doi.org/10.5194/essd-14-143-2022
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-202', Anonymous Referee #1, 19 Aug 2021
    • AC1: 'Reply on RC1', George Xian, 14 Sep 2021
  • RC2: 'Comment on essd-2021-202', Anonymous Referee #2, 05 Oct 2021
    • AC2: 'Reply on RC2', George Xian, 02 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by George Xian on behalf of the Authors (04 Nov 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (04 Nov 2021) by David Carlson
RR by Anonymous Referee #2 (17 Nov 2021)
ED: Publish as is (20 Nov 2021) by David Carlson
AR by George Xian on behalf of the Authors (29 Nov 2021)
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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.
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