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 September 15, 2026, 03:39 (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 5ddb4ec1-5dc0-4ed9-a729-6da7e25f4bfa
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 2026-09-07T22:16:02Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash b47a3ea4efcff33cc26fa383c4d69d96d2a5114ba65b32cc62876f858c999abc
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"}