Land Change Monitoring, Assessment, and Projection

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Land Change Monitoring, Assessment, and Projection (LCMAP) represents a new generation of land cover mapping and change monitoring from the U.S. Geological Survey’s Earth Resources Observation and Science (EROS) Center. LCMAP answers a need for higher quality results at greater frequency with additional land cover and change variables than previous efforts.

LCMAP Products

LCMAP Products

LCMAP offers a suite of 10 annual data products that depict land cover and spectral change in the conterminous United States. LCMAP Collection 1 has been released, with annual updates to follow.

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LCMAP Assessments: Bone Valley

LCMAP Assessments: Bone Valley

Florida's Bone Valley is the source for about 60 percent of the phosphate mined for fertilizer in the U.S. LCMAP data offers insight on the frequent land cover changes that accompany the mining process.

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News

Date published: December 17, 2020

LCMAP Collection 1 Science Products Available for Download as Conterminous U.S. Mosaics

USGS Land Change Monitoring, Assessment and Projection (LCMAP) Collection 1 Science Products are now available as CONUS mosaics.

Date published: November 24, 2020

LCMAP Team to Present at AGU 2020

Members of the Land Change Monitoring, Assessment and Projection (LCMAP) team at the USGS EROS Center will present on multiple topics during the 2020 American Geophysical Union (AGU) conference.

Date published: October 27, 2020

EROS Offers Two Postdoctoral Land Change Fellowships for 2021

The USGS Land Change Monitoring, Assessment, and Projection (LCMAP) initiative is offering two Mendenhall Fellowships to improve its land change products.

Publications

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Year Published: 2021

Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability

Estimates of the area or percent area of the land cover classes within a study region are often based on the reference land cover class labels assigned by analysts interpreting satellite imagery and other ancillary spatial data. Different analysts interpreting the same spatial unit will not always agree on the land cover class label that should be...

Xing, Dingfan; Stehman, Stephen V; Foody, Giles M; Pengra, Bruce

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Year Published: 2020

Methods for rapid quality assessment for national-scale land surface change monitoring

Providing rapid access to land surface change data and information is a goal of the U.S. Geological Survey. Through the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative, we have initiated a monitoring capability that involves generating a suite of ten annual land cover and land surface change datasets across the United States...

Zhou, Qiang; Barber, Christopher; Xian, George Z.

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Year Published: 2020

Investigating the effects of land use and land cover on the relationship between moisture and reflectance using Landsat Time Series

To better understand the Earth system, it is important to investigate the interactions between precipitation, land use/land cover (LULC), and the land surface, especially vegetation. An improved understanding of these land-atmosphere interactions can aid understanding of the climate system and modeling of time series satellite data. Here, we...

Tollerud, Heather J.; Brown, Jesslyn F.; Loveland, Thomas