ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019 : Arctic-Boreal Vulnerability Experiment (ABoVE)

• Main Authors: Berner, L.T., Goetz, S.J.
• Format: Article in Journal/Newspaper
• Language: English
• Published: ORNL Distributed Active Archive Center 2022
• Subjects: Arctic
• Online Access: https://dx.doi.org/10.3334/ornldaac/2023; https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=2023

Rapid climate warming could lead the boreal forest biome to shift northward over the coming century with fundamental impacts on ecosystems, carbon cycling, and human societies. Multi-decadal changes in remotely-sensed vegetation greenness provide evidence of an emerging boreal biome shift. This dataset provides information on interannual trends in annual maximum vegetation greenness during the past four decades for recently undisturbed areas in the boreal forest biome that have natural vegetation and little to no human pressure. Specifically, annual maximum vegetation greenness was assessed at about 100,000 random sample locations using an ensemble of spectral vegetation indices (NDVI, EVI2, kNDVI, and NIRv) that were phenologically-modeled from surface reflectance measured by sensors on the Landsat satellites. This dataset includes tabular data on interannual trends in annual maximum vegetation greenness from 1985 to 2019 and 2000 to 2019 for sample locations with adequate data for time series analysis. The dataset also includes raster data summarizing vegetation greenness trends for sample locations stratified by Ecological Land Unit. These raster data span the boreal forest biome at a 300 m resolution. Each component of this dataset includes estimates of uncertainty that were generated using Monte Carlo simulations.