267 datasets found for "Tree Heights"
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Federal
LANDFIRE 2022 Existing Vegetation Type (EVT) CONUS
Department of the Interior —
LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Annual Herbaceous Fractional Component Time-Series Across Western North America from 1985-2024
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
National Land Cover Database (NLCD) 2016 Shrubland Fractional Components for the Western U.S. (ver. 3.0, July 2020)
Department of the Interior —
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... -
Federal
National Land Cover Database (NLCD) 2016 Shrubland Fractional Components for the Western U.S. (ver. 2.0, October 2019)
Department of the Interior —
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... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Litter Fractional Component Time-Series Across Western North America from 1985-2024
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
LANDFIRE Environmental Site Potential NGDA
Department of the Interior —
The LANDFIRE vegetation layers describe the following elements of existing and potential vegetation for each LANDFIRE mapping zone: environmental site potentials,... -
Federal
LANDFIRE 2022 Existing Vegetation Height (EVH) Puerto Rico US Virgin Islands
Department of the Interior —
LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Height (EVH) represents the average height of the dominant vegetation for a 30-m cell. EVH is produced... -
Federal
LANDFIRE 2022 Forest Canopy Cover (CC) CONUS
Department of the Interior —
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an... -
Federal
Data Release: Buttonland Swamp, health survey, 2022
Department of the Interior —
This dataset contains tree health information in 2022 for ten trees in Buttonland Swamp, part of the Cache River Watershed in Illinois. The data includes the height... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Shrub Height Fractional Component Time-Series Across Western North America from 1985-2024
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
Digital surface model (DSM) data for the Colorado River corridor in Grand Canyon National Park and Glen Canyon National Recreation Area (2013)
Department of the Interior —
The 2013 Digital Surface Model (DSM) dataset consists of single band rasters at 1-meter pixel resolution that were generated to orthorectify a four band ortho imagery... -
Federal
Hawaiʻi Island ʻōpeʻapeʻa random tree metrics, 2018–2021
Department of the Interior —
Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island. Roost tree metrics were observed and... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Shrub Fractional Component Time-Series Across Western North America from 1985-2024
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
LANDFIRE 2022 Existing Vegetation Cover (EVC) CONUS
Department of the Interior —
LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Trends Fractional Component Time-Series Across Western North America from 1985-2023
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
Great Dismal Swamp field measurements for aboveground and belowground biomass
Department of the Interior —
Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and... -
Federal
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Fabric Dataset
Department of the Interior —
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change.... -
Federal
Floodplain Forest Response to Multiple Large-Scale Inundation Events Survey Data From Eight Pools of the Upper Mississippi River Collected During the Growing Seasons of 1995 and 2021
Department of the Interior —
Throughout the Upper Mississippi River System (UMRS), floods in 1993 and 2019 were record-setting events in terms of flood stage and duration of flooding. Floodplain... -
Federal
LANDFIRE Forest Canopy Cover NGDA
Department of the Interior —
The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy... -
Federal
LANDFIRE Remap 2016 Existing Vegetation Type (EVT) CONUS
Department of the Interior —
LANDFIRE's (LF) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for...
267 datasets found for "Tree Heights"