CMS: Vegetative Lifeform Cover from Landsat SR for CONUS, 1984-2018 : Carbon Monitoring System (CMS)

This dataset contains estimates of percent cover of tree, shrub, herb, and other (non-vegetation) lifeform classes and uncertainties for the conterminous United States (CONUS). The estimates were derived using quantile regression forest models and indicate the percent of ground covered by a vertical...

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Bibliographic Details
Main Authors: Parra, A., Greenberg, J.A.
Format: Article in Journal/Newspaper
Language:English
Published: ORNL Distributed Active Archive Center 2021
Subjects:
LAND SURFACE, SURFACE RADIATIVE PROPERTIES, REFLECTANCE,
BIOSPHERE, VEGETATION, FOREST COMPOSITION/VEGETATION STRUCTURE,
BIOSPHERE, ECOSYSTEMS, TERRESTRIAL ECOSYSTEMS, GRASSLANDS
BIOSPHERE, ECOSYSTEMS, TERRESTRIAL ECOSYSTEMS, DESERTS
LAND SURFACE, LAND USE/LAND COVER, LAND USE/LAND COVER CLASSIFICATION,
BIOSPHERE, ECOSYSTEMS, TERRESTRIAL ECOSYSTEMS, FORESTS
BIOSPHERE, ECOSYSTEMS, TERRESTRIAL ECOSYSTEMS, ALPINE/TUNDRA
AIRCRAFT, LIDAR
LANDSAT-7, ETM+
MODELS, Computer
LANDSAT-5, TM
percent cover
vegetation structure
Airborne LiDAR
Landsat
Other
Herb
Shrub
Tree
Lifeform cover
Tundra
Alaska
Online Access:https://dx.doi.org/10.3334/ornldaac/1809
https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1809
Description
Summary:This dataset contains estimates of percent cover of tree, shrub, herb, and other (non-vegetation) lifeform classes and uncertainties for the conterminous United States (CONUS). The estimates were derived using quantile regression forest models and indicate the percent of ground covered by a vertical projection of each lifeform class ranging from 0 to 100 percent. Model input data included Landsat surface reflectance (SR) data and 165 airborne LiDAR datasets covering eight of the eleven terrestrial biomes of the conterminous USA and Alaska. Eighty-six of the LiDAR acquisitions are part of the NASA Goddard's LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) airborne imager data collection; the remaining 79 sites were acquired by the National Science Foundation's National Ecological Observatory Network Airborne Observation Platform (NEON AOP). Acquisitions were selected based on the availability of the SR data for each G-LiHT and NEON dataset. The data are annual estimates from 1984 to 2018 and were tiled (425 tiles) using the CONUS Landsat Analysis Ready Data (ARD) grid scheme. Data are provided in GeoTIFF format.

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