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. Classification accuracy was assessed using a probability-based random sample, ensuring statistically robust area estimates and uncertainty measures. The classifications were produced using a supervised Random Forest classification model and Canadian National Forest Inventory photo plot data. The data are provided in multiband GeoTIFF file format and distributed by tile in the ABoVE Level B grid.

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated June 23, 2026, 01:41 (UTC)
Created June 12, 2025, 21:04 (UTC)
accessLevel public
bureauCode {026:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
harvest_object_id 92d2b056-3128-43ea-b365-68cb1d98f0e1
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/2423
license https://www.usa.gov/government-works
modified 2026-06-15T22:16:01Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash 606d9805288668b9803cb0a563f7228be035671f7fa7a9681bb9cb7fa76fb860
source_schema_version 1.1
spatial ["CARTESIAN", [{"WestBoundingCoordinate": -166.685, "NorthBoundingCoordinate": 71.0677, "EastBoundingCoordinate": -50.1766, "SouthBoundingCoordinate": 41.2276}]]
temporal 1986-01-01/2020-12-31
theme {"Earth Science"}