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ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016

Metadata Updated: December 7, 2023

This dataset provides annual tundra greenness and summer air temperatures at a resolution of 50 km over the pan-Arctic tundra biome above 31.5 degrees over the time period 1985 to 2016. Annual tundra greenness was assessed using the maximum Normalized Difference Vegetation Index (NDVImax) derived from surface reflectance measured by sensors on the Landsat satellites. Summer air temperatures were quantified using the Summer Warmth Index (SWI) derived from an ensemble of five global temperature datasets. Tabular data include NDVImax, SWI, and estimates of uncertainty using Monte Carlo simulations at 45,334 vegetated sampling sites. Raster data provide (1) annual SWI from 1985 to 2016; (2) temporal trends in annual NDVImax and SWI from 1985 to 2016 and from 2000 to 2016; and (3) temporal correlations between annual NDVImax - SWI during these two periods. Each raster also includes estimates of uncertainty that were generated using Monte Carlo simulations. This dataset provides a new pan-Arctic product for assessing inter-annual variability in tundra using moderate resolution observations from the Landsat satellites.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Tundra greenness and summer air temperature trends and correlations across the Arctic. Top panels (a-d) depict Landsat annual maximum Normalized Difference Vegetation Index (NDVImax) trends, summer warmth index (SWI) trends derived using an ensemble of five temperature datasets, and mean Spearman's correlation (rs) between annual NDVImax and SWI among sites from 1985 to 2016, while bottom panels (e-h) depict trends and correlations from 2000 to 2016. Areas that are barren or lacked adequate Landsat data for trend and correlation assessments are shown in black. Source: Berner et al., (2020)

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2143401680-ORNL_CLOUD
Data First Published 2021-09-17
Language en-US
Data Last Modified 2023-06-12
Category ABoVE, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Berner, L.T., R. Massey, and S.J. Goetz. 2021. ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1893
Graphic Preview Description Tundra greenness and summer air temperature trends and correlations across the Arctic. Top panels (a-d) depict Landsat annual maximum Normalized Difference Vegetation Index (NDVImax) trends, summer warmth index (SWI) trends derived using an ensemble of five temperature datasets, and mean Spearmans correlation (rs) between annual NDVImax and SWI among sites from 1985 to 2016, while bottom panels (e-h) depict trends and correlations from 2000 to 2016. Areas that are barren or lacked adequate Landsat data for trend and correlation assessments are shown in black. Source: Berner et al., (2020)
Graphic Preview File https://daac.ornl.gov/ABOVE/guides/Tundra_Greeness_Temp_Trends_Fig1.png
Harvest Object Id adce0849-ab2f-4027-b21e-f12521c36274
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/1893
Metadata Type geospatial
Old Spatial -180.0 31.49 180.0 90.0
Program Code 026:001
Source Datajson Identifier True
Source Hash add333178ef0892fad716a37436b90333773b5f106adda1cefd519bb9bf4b412
Source Schema Version 1.1
Spatial
Temporal 1985-07-01T00:00:00Z/2016-08-31T23:59:59Z

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