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Description

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.

Product Summary

Platforms
LANDSAT-5 ,
LANDSAT-7 ,
LANDSAT-8
Instruments
TM ,
ETM+ ,
OLI ,
TIRS
Spatial Extent

N: 72 S: 45 E: 180 W: -180

Location
POLAR
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1985-01-01 to 2019-12-31
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C2262495772-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
21
Processing Level
3
Published
Updated
Science Keywords
Forests ,
Plant Phenological Changes ,
Normalized Difference Vegetation Index (NDVI) ,
Plant Phenology ,
Evergreen Vegetation ,
Vegetation Index

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Berner, L. T., & Goetz, S. J. (2022). ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2023 Date Accessed: 2026-04-29

Documents

Filters
Title Year Author Topic
Exploring the potential of Harmonized Landsat-Sentinel-2 in predicting boreal forest structure from UAV-LiDAR data in Northwestern America Enguehard, Lea, Kruse, Stefan, Hansch, Ronny, Herzschuh, Ulrike, Panda, Santosh, Heim, Birgit Vegetation Cover, Forests, Canopy Characteristics, Land Use/Land Cover Classification, Alpine/Tundra, Reflectance, Dominant Species, Plant Phenological Changes, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Evergreen Vegetation, Vegetation Index
FRIDA-Clim v1. 0.1: a simple climate model with process-based carbon cycle used in the integrated assessment model FRIDAv2. 1 Wells, Christopher D., Ramme, Lennart, Smith, Chris, Breier, Jannes, Muralidhar, Adakudlu, Li, Chao, Gjermundsen, Ada, Schoenberg, William Alexander, Blanz, Benjamin, Mauritzen, Cecilie Forests, Plant Phenological Changes, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Evergreen Vegetation, Vegetation Index
Satellite observations document trends consistent with a boreal forest Berner, Logan T., Goetz, Scott J. Forests, Plant Phenological Changes, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Evergreen Vegetation, Vegetation Index, Forest Composition/Vegetation Structure, Afforestation/Reforestation
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