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.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| The dataset's project home page | HTML | ABoVE project site | Open resource |
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| Get a related visualization | JPG | Change in greenness of boreal forest across the northern hemisphere between 2000 to 2019, estimated from an ensemble of vegetation indices derived from Landsat imagery. Source: boreal_greenness_median_percent_change_2000to2019_p500.tif | Open resource |
| View documentation related to this dataset | HTML | ORNL DAAC Data Set Documentation | Open resource |
| View documentation related to this dataset | ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019: BorealForest_Greenness_Trends.pdf | Open resource | |
| This dataset's landing page | HTML | Data set Landing Page DOI URL | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |