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.
Resources
| Name | Format | Description | Link |
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| Data Information (Unknown Format) | Binary | Open resource | |
| Web Resource | Binary | ||
| Original Metadata | Unknown | The metadata's original source. | Open resource |
| Web Resource | Binary | ||
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| Data Information (PNG) | PNG | Boreal_CanopyCover_StandAge_Fig1.png | Open resource |
| Web Resource | Binary | ||
| Data Information (PDF) | Boreal_CanopyCover_StandAge.pdf | Open resource | |
| Data Information (HTML) | HTML | Open resource | |
| Web Resource | Binary | ||
| Web Resource | Binary | ||
| Data Information (Unknown Format) | Binary | Open resource |