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

• 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

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.