ORNL DAAC Data Release - ABoVE: Landsat-derived Annual Dominant Land Cover in Boreal North America, 1986-2020

[ORNL - blancohl]

ORNL DAAC recently released a new ABoVE dataset by Hu, K.T. et al (2025):

ABoVE: Landsat-derived Annual Dominant Land Cover in Boreal North America, 1986-2020

This dataset contains a 30-m resolution time series of annual land cover classifications as the dominant plant functional type class for all of boreal Alaska and Canada from 1986 to 2020. The data were derived from a time series of Landsat Collection 2 Surface Reflectance and processed using the Continuous Change Detection and Classification (CCDC) algorithm. This dataset includes a nine-class land cover scheme.

Citation: Hu, K.T., J.A. Wang, M.A. Friedl, W. Liang, J. Kim, X. Zhu, D.C. Morton, and J.T. Randerson. 2025. ABoVE: Landsat-derived Annual Dominant Land Cover in Boreal North America, 1986-2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2423