Land Use Land Cover Modeling

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Scientists at EROS look at local and global drivers of land-use change to project how different scenarios will impact and change landscapes. Using the FOREcasting SCEnarios of Land-use Change (FORE-SCE) modeling framework provides spatially explicit projections of future land-use and land-cover change. 

Overview

Applications

Applications

Land-use change and the resultant changes in land cover impact a wide variety of ecological processes. Projected land-cover data produced by EROS have been used for a wide variety of applications.  

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Methods

Methods

Land-Cover Modeling Methodology - The FORE-SCE Model

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Data & Projects

Data & Projects

The following provides a short synopsis of current and recently completely projects using USGS EROS’ FORE-SCE model, and where applicable, links to download data. 

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News

Date published: May 20, 2019

New Land Cover Maps Depict 15 Years of Change across America

Today, the U.S. Geological Survey (USGS) released the latest edition of the National Land Cover Database (NLCD) for the U.S. – the most comprehensive land cover database that the USGS has ever produced. The NLCD 2016 documents land cover change in the Lower 48 states from 2001 to 2016. During this 15-year period, 7.6 percent of the conterminous U.S. changed land cover at least once.

Date published: January 29, 2018

USGS Accurately Projects Impacts of Transforming Agricultural Landscapes

When a forest gives way to a potato field, when landscapes once teeming with wheat and barley disappear into seas of switchgrass, there are always implications. 

Environmental implications. Economic ones. Land use change can affect local climate. It can alter biodiversity, even the quality of groundwater. Any number of new realities emerge when land—especially that used for agriculture—...

Publications

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Year Published: 2019

Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative

The Land Change Monitoring, Assessment, and Projection (LCMAP) initiative uses temporally dense Landsat data and time series analyses to characterize landscape change in the United States from 1985 to present. LCMAP will be used to explain how past, present, and future landscape change affects society and natural systems. Here, we describe a...

Sohl, Terry L.; Dornbierer, Jordan; Wika, Steve; Robison, Charles

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Year Published: 2019

Linking landscapes and people—Projecting the future of the Great Plains

We developed a unique set of landscape projections for the Great Plains that use real land-management parcels to represent landscape patterns at high spatial and thematic resolution.Both anthropogenic land use and natural vegetation respond in the model to projected changes in groundwater availability and climate...

Sohl, Terry L.; Dornbierer, Jordan; Wika, Steve

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Year Published: 2017

Simulating the effects of management practices on cropland soil organic carbon changes in the Temperate Prairies Ecoregion of the United States from 1980 to 2012

Understanding the effects of management practices on soil organic carbon (SOC) is important for designing effective policies to mitigate greenhouse gas emissions in agriculture. In the Midwest United States, management practices in the croplands have been improved to increase crop production and reduce SOC loss since the 1980s. Many studies of SOC...

Li, Zhengpeng; Liu, Shuguang; Tan, Zhengxi; Sohl, Terry L.; Wu, Yiping