Terry Sohl is a Research Physical Scientist with the U.S. Geological Survey at the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota.
Since 1993, he has been involved in the mapping, analysis, and modeling of land-use and land-cover within USGS. Terry was one of the team members that helped develop the first 1992 National Land Cover Database (1992) and was also one of the original founders of the USGS Land Cover Trends project. Using the experience gained from mapping and analyzing current and historical land-use change, Terry led the development of the FORE-SCE (FOREcasting SCEnarios of land-use change) modeling framework, which has been used to produce scenario-based land-use and land-cover projections for the conterminous United States at high spatial and thematic resolution. Terry continues to lead land-cover modeling projects at USGS EROS, using a new, parcel-based modeling framework that models landscape change with an unprecedented combination of high spatial resolution, high thematic resolution, broad geographic coverage, representation of both anthropogenic land use and natural land cover change, and use of true land management and ownership boundaries.
Current responsibilities also include the role as Land Resources Mission Area (LRMA) representative for the USGS EarthMAP initiative. In that role, Terry serves on an interdisciplinary team of USGS researchers and managers, helping to coordinate integrated data and science activities related to EarthMAP. He also plays a lead role in coordinating the LRMA collaboration with the Water Mission Area.
More information on the work of his land-cover modeling group at USGS EROS may be found at:
https://landcover-modeling.cr.usgs.gov/
Science and Products
Moving towards EarthMAP: Establishing linkages among USGS land use, water use, runoff, and recharge models
Eyes on Earth Episode 16 – Predictive Modeling
Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how EROS scientists project future landscape change.
Acquiring Land-Cover Modeling Data from USGS / EROS Center
Land-cover Modeling at USGS Earth Resources Observation and Science (EROS) Center
Land-Cover Modeling Methodology - The FORE-SCE Model
Spatial Modeling of Land Use, Climate, and Environmental Consequences
Land Cover Projections
Land Cover Trends
Building a Decision-Support Tool for Assessing the Impacts of Climate and Land Use Change on Ecological Processes
Science and Products
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Moving towards EarthMAP: Establishing linkages among USGS land use, water use, runoff, and recharge models
Understanding and anticipating change in dynamic Earth systems is vital for societal adaptation and welfare. USGS possesses the multidisciplinary capabilities to anticipate Earth systems change, yet our work is often bound within a single discipline and/or Mission Area. The proposed work breaks new ground in moving USGS towards an interdisciplinary predictive modeling framework. We are initially lEyes on Earth Episode 16 – Predictive Modeling
Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how EROS scientists project future landscape change.
Acquiring Land-Cover Modeling Data from USGS / EROS Center
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. Additional project information and data will be made available as our research progresses.Land-cover Modeling at USGS Earth Resources Observation and Science (EROS) Center
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, including those listed in the left column. The following provides a partial list of published applications for modeled land-use and land-cover data.Land-Cover Modeling Methodology - The FORE-SCE Model
Many factors determine how human beings modify the earth's landscape. Land-cover change is inherently a local event, yet broader scale socioeconomic and biophysical factors also affect how humans make decisions to use the landscape. Projecting future land cover requires modelers to account for driving forces of land-cover change operating at scales from local ("bottom-up") to global ("top-down")...Spatial Modeling of Land Use, Climate, and Environmental Consequences
USGS scientists have a long tradition of providing high-quality, consistent, and relevant land-cover data for the United States, using our archive of current and historical remote sensing data. Scientists at USGS EROS are using their experience in mapping land cover and their knowledge of land-cover change processes to temporally extend these databases beyond the dates of available remote sensing...Land Cover Projections
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.Land Cover Trends
Land Cover Trends was a research project focused on understanding the rates, trends, causes, and consequences of contemporary U.S. land use and land cover change. The project spanned from 1999 to 2011. The research was supported by the Climate and Land Use Change Research and Development Program of the U.S. Geological Survey (USGS) and was a collaborative effort with the U.S. Environmental...Building a Decision-Support Tool for Assessing the Impacts of Climate and Land Use Change on Ecological Processes
Scientists, planners, policy makers and other decision-makers in the South Central U.S. want to understand the potential impacts of changes in climate, precipitation, and land-use patterns on natural and cultural resources. Though the potential impacts of climate change can be modeled to help decision-makers plan for future conditions, these models rarely incorporate changes in land-use that may o - Data
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