ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019

This dataset provides information on interannual trends in annual maximum vegetation greenness from 1985 to 2019 for recently undisturbed areas in the boreal forest biome. Multi-decadal changes in remotely sensed vegetation greenness provide evidence of an emerging boreal biome shift driven by climate warming. 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) derived from Landsat products. The dataset provides raster data summarizing vegetation greenness trends for sample locations stratified by Ecological Land Unit in GeoTIFF format. These raster data span the circum-hemispheric boreal forest biome between 45 to 70 degrees north at 300 m resolution. Estimates of uncertainty were generated using Monte Carlo simulations. Interannual trends in annual maximum vegetation greenness from 1985 to 2019 and 2000 to 2019 are provided for sample locations with adequate data for time series analysis; these data are in comma-separated values (CSV) format.

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated August 25, 2026, 09:24 (UTC)
Created April 1, 2025, 14:06 (UTC)
accessLevel public
bureauCode {026:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
harvest_object_id 4fb8eb02-eb2e-4250-b089-480051db52e1
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/2023
license https://www.usa.gov/government-works
modified 2026-08-17T22:16:01Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash 08b952d8fec8fd51ccb7f694cdc3cc87199e63a866a953b36d0e14e699ba9b6d
source_schema_version 1.1
spatial ["CARTESIAN", [{"WestBoundingCoordinate": -180.0, "NorthBoundingCoordinate": 72.0, "EastBoundingCoordinate": 180.0, "SouthBoundingCoordinate": 45.0}]]
temporal 1985-01-01/2019-12-31
theme {"Earth Science"}