ABoVE: Tree Canopy Cover and Stand Age from Landsat, Boreal Forest Biome, 1984-2020 ... : Arctic-Boreal Vulnerability Experiment (ABoVE) ...

• Main Authors: Feng, M., Sexton, J.O., Wang, P., Channan, S., Montesano, P.M., Wagner, W., Wooten, M.R., Neigh, C.S.
• Format: Article in Journal/Newspaper
• Language: English
• Published: ORNL Distributed Active Archive Center 2022
• Subjects: BIOSPHERE, ECOSYSTEMS, TERRESTRIAL ECOSYSTEMS, FORESTS; BIOSPHERE, VEGETATION, CANOPY CHARACTERISTICS,; BIOSPHERE, VEGETATION, VEGETATION COVER,; COMPUTERS, Computer; LANDSAT-8, OLI; LANDSAT-8, TIRS; LANDSAT-7, ETM+; LANDSAT-5, MSS; LANDSAT-5, TM; taiga; tundra; Arctic-Boreal Vulnerability Experiment; World Reference System 2; Forest stand age; Arctic; Tundra
• Online Access: https://dx.doi.org/10.3334/ornldaac/2012; https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=2012

This dataset contains Landsat-derived locally-calibrated estimates of tree canopy cover (TCC) and forest stand age across global boreal forests from 1984-2020 in Cloud-Optimized GeoTIFF (*.tif) format. These raster data span the circum-hemispheric boreal forest biome between 47 to 73 degrees north at 30 m resolution. Machine learning models calibrated with data from the World Reference System 2 were used to predict TCC from Landsat data at 30-m spatial resolution at annual temporal resolution. Through analysis of TCC time series, forest change estimates of stand age from 1984-2020 were developed. The broad spatial and temporal coverage of these data provide insight into forest and carbon dynamics of the global boreal forest system. Boreal forests store a large proportion of global soil and biomass carbon and have experienced disproportionately high levels of warming over the past century. ...