N: 73.9893 S: 42.98 E: -35.5078 W: -172.617
Description
This dataset provides booklets that describe a variety of example datasets and the range of study areas created through NASA's Arctic-Boreal Vulnerability Experiment (ABoVE), a NASA Terrestrial Ecology Field Campaign conducted in Alaska and western Canada which began in 2015. The booklets with selected data products are for the entire ABoVE domain, and for select regional areas including Bristol Bay, Dehcho, Fairbanks, Mackenzie Delta, Sahtu, Vuntut Gwitchin, Whitehorse, and the Yukon-Kuskokwim Delta. The eight regional files generally include the same example datasets and descriptions as the ABoVE Booklet, and also include the data mapped for the specific region. Example datasets are described for the following study areas: Land use/Land Cover (LULC), Active Layer Thickness (ALT), total burn area, Aboveground Biomass Density (AGBD), fire ignitions, tree canopy cover, machine learning and CO2 emissions, and gridded CO2 and CH4 flux emissions. In addition, the Yukon-Kuskokwim Delta Booklet also contains an example dataset for lake and pond occurrences in the Yukon-Kuskokwim Delta, and the ABoVE Booklet includes dataset examples pertaining to fall moose hunting seasons and particulate matter estimates. ABoVE is a diverse large-scale study of the impacts of environmental change on Arctic and boreal terrestrial and freshwater ecosystems and the implications of these changes on societal and ecological systems. The goal of this dataset is to make the data more widely available by highlighting example datasets and providing general explanations, spatial coverage, spatial and temporal resolution, temporal coverage, dataset citations, and data coverage maps. The booklets are provided in Portable Document Format (PDF).
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Documents
USER'S GUIDE
GENERAL DOCUMENTATION
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