ABoVE: Tree Canopy Cover and Stand Age from Landsat, Boreal Forest Biome, 1984-2020

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
5 https://search.earthdata.nasa.gov%2Fsearch%3Fq%3DBoreal_CanopyCover_StandAge_2012%26ac%3Dtrue
5 https://daac.ornl.gov%2FABOVE%2Fguides%2FBoreal_CanopyCover_StandAge.html
5 https://above.nasa.gov%2F
5 https://data.ornldaac.earthdata.nasa.gov%2Fpublic%2Fabove%2FBoreal_CanopyCover_StandAge%2Fcomp%2FBoreal_CanopyCover_StandAge.pdf
5 https://doi.org%2F10.3334%2FORNLDAAC%2F2012
5 https://daac.ornl.gov%2FABOVE%2Fguides%2FBoreal_CanopyCover_StandAge_Fig1.png
21 https://doi.org/10.3334/ORNLDAAC/2012
34 Boreal_CanopyCover_StandAge_Fig1.png https://daac.ornl.gov/ABOVE/guides/Boreal_CanopyCover_StandAge_Fig1.png
5 https://above.nasa.gov/
33 Boreal_CanopyCover_StandAge.pdf https://data.ornldaac.earthdata.nasa.gov/public/above/Boreal_CanopyCover_StandAge/comp/Boreal_CanopyCover_StandAge.pdf
5 https://search.earthdata.nasa.gov/search?q=Boreal_CanopyCover_StandAge_2012&ac=true
0 The metadata's original source. https://cmr.earthdata.nasa.gov/search/concepts/C2539841646-ORNL_CLOUD.iso19115

Tags

  • nasa
  • remote-sensing
  • earth-science

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