Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/2012 |
|---|---|
| Version | 1 |
| Project | |
| Published | 2022-11-07 |
| Usage | 176 downloads |
| Citations | 1 publication cited this dataset |
Description
This dataset contains Landsat-derived locally-calibrated estimates of tree canopy cover (TCC) and forest stand age across global boreal forests from 1984-2020 in Cloud-Optimized GeoTIFF (*.tif) format. These raster data span the circum-hemispheric boreal forest biome between 47 to 73 degrees north at 30 m resolution. Machine learning models calibrated with data from the World Reference System 2 were used to predict TCC from Landsat data at 30-m spatial resolution at annual temporal resolution. Through analysis of TCC time series, forest change estimates of stand age from 1984-2020 were developed. The broad spatial and temporal coverage of these data provide insight into forest and carbon dynamics of the global boreal forest system. Boreal forests store a large proportion of global soil and biomass carbon and have experienced disproportionately high levels of warming over the past century.
Science Keywords
- BIOSPHERE
- VEGETATION
- VEGETATION COVER
- BIOSPHERE
- ECOSYSTEMS
- TERRESTRIAL ECOSYSTEMS
- FORESTS
- BIOSPHERE
- VEGETATION
- CANOPY CHARACTERISTICS
Data Use and Citation
This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 1 companion files.
- Boreal_CanopyCover_StandAge.pdf