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This data release has been superseded by version 3.0, available here: https://doi.org/10.5066/P9MJVQSQ Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Nine shrubland ecosystem components, including percent shrub, sagebrush (Artemisia spp.), big sagebrush, herbaceous, annual herbaceous, litter, and bare ground cover, along with sagebrush and shrub heights, were quantified at 30-m resolution by mapping region. Each region required extensive ground measurement...
Categories: Data Release - Revised;
Tags: AZ,
Arizona,
Arizona Plateau,
Black Hills,
Blue Mountains,
We counted the number of changes from one vegetation type to another for each pixel over a 30 year period across all climate futures simulated by the vegetation model MC2 . The higher the number the less stable a pixel is.The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al...
The vegetation model MC2 was run for 12 different climate futures. We counted the number of instances model results agreed on the direction of change in C stocks (loss/gain) for each pixel and averaged it over the time period.The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
This page houses model results used in the U.S. National Seismic Hazard Model, 2023. We include results from four geodetic deformation models (Pollitz, Zeng, Shen, Evans), post-seismic relaxation ("ghost transient") calculation (Hearn), and creep calculation (Johnson/Murray). Geologic deformation model results are available in Hatem et al. (2022a). An overview of all model procedures and comparisons is available at: Pollitz, F.F., E. L. Evans, E. H. Field, A. E. Hatem, E. H. Hearn, K. M. Johnson, J. R. Murray, P. M. Powers, Z.-K. Shen, C. Wespestad, and Y. Zeng (2022). Western U.S. Deformation models for the 2023 update to the U.S. National Seismic Hazard Model, Seismol. Res. Lett. doi: 10.1785/0220220143 Individual,...
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m resolution across the full sagebrush (Artemisia spp.) biome. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2018 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate...
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas...
The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified...
Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Nine shrubland ecosystem components, including percent shrub, sagebrush (Artemisia spp.), big sagebrush, herbaceous, annual herbaceous, litter, and bare ground cover, along with sagebrush and shrub heights, were quantified at 30-m resolution by mapping region. Each region required extensive ground measurement for model training and validation, two scales of remote sensing data from commercial high-resolution...
Categories: Data,
Data Release - Revised;
Tags: AZ,
Arizona,
Arizona Plateau,
Black Hills,
Blue Mountains,
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
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