United States Multi-Sector Dynamics land use and land cover base maps to support Human-Earth System Modeling

Oliver, Jay; McManamay, Ryan

doi:10.57931/2246609

Title: United States Multi-Sector Dynamics land use and land cover base maps to support Human-Earth System Modeling

Dataset
Other Related Research

Abstract

Datasets are land use and land cover (LULC) rasterized base maps at 30-m resolution for the conterminous United States (CONUS) for the years 2008, 2011, 2016, and 2019. Separate base maps are provided where LULC classifications are thematically congruent with Community Land Model (CLM), Land Use Harmonization (LUH2), and Global Change Analysis Model (GCAM), and a detailed decomposition of all combined land classes into a Multisector Dynamics (MSD) LULC product. Base maps were developed using empirically derived satellite (National Land Cover Dataset, MODIS) and combined observation datasets (Crop Data Layer, Protected Areas Database) and represent the most up-to-date accurate information on LULC in the CONUS. The four datasets encompass four different landcover classification systems: MSD Layers - The raw landcover classes obtained from reclassifying NLCD and USDA Crop data layers into a respective landcover class GCAM Layers - The MSD classes mosaiced, reclassified, and combined into the respective GCAM landcover classes CLM Layers - Similar process to GCAM layers, but mosaiced, reclassified, and combined MSD layers to their respective PFT classes LUH2 Layers - Similar process to both GCAM and CLM Layers, but mosaiced, reclassified and combined the MSD layers to align with the respective states

Authors:

Oliver, Jay;

Pacific Northwest National Laboratory
Baylor University

Publication Date:: Sat Jan 06 04:00:00 UTC 2024

Research Org.:: MultiSector Dynamics - Living, Intuitive, Value-adding, Environment

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: Food; GCAM-USA; Land; Urban; integrated multisector multiscale modeling

OSTI Identifier:: 2246609

DOI:: https://doi.org/10.57931/2246609

Citation Formats


                    Oliver, Jay, and McManamay, Ryan. United States Multi-Sector Dynamics land use and land cover base maps to support Human-Earth System Modeling.  United States: N. p., 2024. 
        Web.  doi:10.57931/2246609.

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                    Oliver, Jay, & McManamay, Ryan. United States Multi-Sector Dynamics land use and land cover base maps to support Human-Earth System Modeling.  United States.  doi:https://doi.org/10.57931/2246609

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                    Oliver, Jay, and McManamay, Ryan. 2024.  
"United States Multi-Sector Dynamics land use and land cover base maps to support Human-Earth System Modeling".  United States.  doi:https://doi.org/10.57931/2246609.  https://www.osti.gov/servlets/purl/2246609. Pub date:Sat Jan 06 04:00:00 UTC 2024

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@article{osti_2246609,

  title        = {United States Multi-Sector Dynamics land use and land cover base maps to support Human-Earth System Modeling},

  author       = {Oliver, Jay and McManamay, Ryan},

  abstractNote = {Datasets are land use and land cover (LULC) rasterized base maps at 30-m resolution for the conterminous United States (CONUS) for the years 2008, 2011, 2016, and 2019.  Separate base maps are provided where LULC classifications are thematically congruent with Community Land Model (CLM), Land Use Harmonization (LUH2), and Global Change Analysis Model (GCAM), and a detailed decomposition of all combined land classes into a Multisector Dynamics (MSD) LULC product.  Base maps were developed using empirically derived satellite (National Land Cover Dataset, MODIS) and combined observation datasets (Crop Data Layer, Protected Areas Database) and represent the most up-to-date accurate information on LULC in the CONUS. The four datasets encompass four different landcover classification systems: MSD Layers - The raw landcover classes obtained from reclassifying NLCD and USDA Crop data layers into a respective landcover class GCAM Layers - The MSD classes mosaiced, reclassified, and combined into the respective GCAM landcover classes CLM Layers - Similar process to GCAM layers, but mosaiced, reclassified, and combined MSD layers to their respective PFT classes LUH2 Layers - Similar process to both GCAM and CLM Layers, but mosaiced, reclassified and combined the MSD layers to align with the respective states},

  doi          = {10.57931/2246609},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sat Jan 06 04:00:00 UTC 2024},

  month        = {Sat Jan 06 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.57931/2246609

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