Skip to main content
U.S. flag

An official website of the United States government

Next-generation forest change mapping across the United States: the landscape change monitoring system (LCMS)

Author(s):

Yang Zhiqiang
Evan Brooks
Noel Gorelick
Mathew Gregory
Alexander Hernandez
Chengquan Huang
Joseph Hughes
Thomas Loveland
Kevin Megown
Brian Schwind
Stephen Stehman
Daniel Steinwand
James Vogelmann
Curtis Woodcock
Limin Yang
Zhe Zhu

Year:

2015

Publication type:

General Technical Report (GTR)

Primary Station(s):

Rocky Mountain Research Station

Historical Station(s):

Pacific Northwest Research Station

Source:

In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 217.

Description

Forest change information is critical in forest planning, ecosystem modeling, and in updating forest condition maps. The Landsat satellite platform has provided consistent observations of the world’s ecosystems since 1972. A number of innovative change detection algorithms have been developed to use the Landsat archive to identify and characterize forest change. The inter-agency Landscape Change Monitoring System (LCMS) has been launched to engage these cutting edge methodologies in a national-scale, sustained change monitoring operation. A Science Team supporting LCMS has evaluated the relative strengths of several leading algorithms in identifying different types of forest change across a variety of ecosystems. Additionally, a machine-learning approach has been developed that uses an ensemble of algorithm outputs to predict a surface which best matches independently collected reference data. This ensemble technique integrates the strengths of each individual algorithm in different situations, and has been shown to reduce overall error in LCMS trials. The LCMS Science Team has also, in collaboration with Google, overcome significant data processing hurdles associated with analyzing tens of thousands of large images. Following Science Team recommendations, LCMS is quickly moving toward production and maintenance of validated, nationally consistent maps of the causes and timing of historical forest change.

Citation

Healey, Sean P.; Cohen, Warren B.; Zhiqiang, Yang; Brewer, Ken; Brooks, Evan; Gorelick, Noel; Gregory, Mathew; Hernandez, Alexander; Huang, Chengquan; Hughes, Joseph; Kennedy, Robert; Loveland, Thomas; Megown, Kevin; Moisen, Gretchen; Schroeder, Todd; Schwind, Brian; Stehman, Stephen; Steinwand, Daniel; Vogelmann, James; Woodcock, Curtis; Yang, Limin; Zhu, Zhe. 2015. Next-generation forest change mapping across the United States: the landscape change monitoring system (LCMS). In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 217.

Publication Notes

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
https://www.fs.usda.gov/treesearch/pubs/50338