13 Aug 2021

13 Aug 2021

Review status: this preprint is currently under review for the journal ESSD.

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

George Xian1, Kelcy Smith2, Danika Wellington2, Josephine Horton2, Qiang Zhou3, Congcong Li3, Roger Auch1, Jesslyn Brown1, Zhe Zhu4, and Ryan Reker2 George Xian et al.
  • 1United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota 57198, U.S.A.
  • 2KBR, Contractor to the USGS EROS Center, Sioux Falls, SD, 57198, U.S.A.
  • 3ASRC Federal Data Solutions (AFDS), Contractor to the USGS EROS Sioux Falls, SD 57198, U.S.A.
  • 4Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT, U.S.A.

Abstract. The increasing availability of high-quality remote sensing data and advanced technologies have spurred land cover mapping to characterize land change from local to global scales. However, most land change datasets either span multiple decades at a local scale or cover limited time over a larger geographic extent. Here, we present a new land cover and land surface change dataset created by the Land Change Monitoring, Assessment, and Projection (LCMAP) program over the conterminous United States (CONUS). The LCMAP land cover change dataset consists of annual land cover and land cover change products over the period 1985–2017 at 30-meter resolution using Landsat and other ancillary data via the Continuous Change Detection and Classification (CCDC) algorithm. In this paper, we describe our novel approach to implement the CCDC algorithm to produce the LCMAP product suite composed of five land cover and five land surface change related products. The LCMAP land cover products were validated using a collection of ~25,000 reference samples collected independently across CONUS. The overall agreement for all years of the LCMAP primary land cover product reached 82.5 %. The LCMAP products are produced through the LCMAP Information Warehouse and Data Store (IW+DS) and Shared Mesos Cluster systems that can process, store, and deliver all datasets for public access. To our knowledge, this is the first set of published 30 m annual land cover and land cover change datasets that span from the 1980s to the present for the United States. The LCMAP product suite provides useful information for land resource management and facilitates studies to improve the understanding of terrestrial ecosystems and the complex dynamics of the Earth system. The LCMAP system could be implemented to produce global land change products in the future.

George Xian et al.

Status: final response (author comments only)

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

George Xian et al.

Data sets

LCMAP LCMAP Collection 1 Science Products

George Xian et al.


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Short summary
The continuous change detection algorithms was implemented with time series satellite records to produce annual land surface change product 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.