N: 73 S: 45 E: 180 W: -180
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.
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Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
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| Reburning from overwintering fires in boreal North America: insights |
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| Exploring the potential of Harmonized Landsat-Sentinel-2 in predicting boreal forest structure from UAV-LiDAR data in Northwestern America |
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| Northward shift of boreal tree cover confirmed by satellite record |
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| Russian forests show strong potential for young forest growth |
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| Exploring the determinants of the 2023 Quebec, Canada, mega-wildfire burn severity |
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| Natural forests of the worlda 2020 baseline for deforestation and degradation monitoring |
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| A shift in transitional forests of the North American boreal will persist through 2100 |
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| Unraveling boreal forest composition and drivers across scales in eastern Siberia |
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| Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation |
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| Patterns of regional site index across a North American boreal forest gradient |
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