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Remote Sensing as the Foundation for High-Resolution United States Landscape Projections – The Land Change Monitoring, Assessment, and Projection (LCMAP) Initiative

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Terry L Sohl, Jordan M Dornbierer (CTR), Steve Wika (CTR), and Charles O Robinson, 2019-10, Remote Sensing as the Foundation for High-Resolution United States Landscape Projections – The Land Change Monitoring, Assessment, and Projection (LCMAP) Initiative: Environmental Modelling & Software, v. 120.

Summary

Abstract (from ScienceDirect): 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 modeling framework for producing high-resolution (spatial and thematic) landscape projections at a national scale, using a unique parcel-based modeling framework. The methodology was tested by modeling 11 land use scenarios and 3 climate realizations for the U.S. Great Plains. Results demonstrate 1) an ability to balance competing land-use demands from quite variable, [...]

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  • National and Regional Climate Adaptation Science Centers
  • South Central CASC

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citationTypeJournal Article
journalEnvironmental Modelling & Software
parts
typeDOI
value10.1016/j.envsoft.2019.104495
typeVolume
value120

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