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ABoVE: Peak Greenness for Canadian Boreal Forest from Landsat 5 TM Imagery, 1984-2011

Metadata Updated: December 7, 2023

This dataset provides a 28-year time series of peak greenness (NDVI) data derived from Landsat 5 TM imagery over the boreal forest region of Canada. Landsat 5 TM scenes were collected for 46 selected sidelap sites along gradients in climate, tree cover, and disturbance history from 1984 to 2011. Peak-greenness reflectance was computed for 30-m Landsat pixels using the maximum normalized difference vegetation index (NDVI) along with the normalized burn ratio (NBR) during the period between days of the year (DOY) 180 and 204. To facilitate trend analysis at each site, the NDVI and NBR data of the 30-m Landsat pixels were regridded to the coarser MODIS 500-m (463.3-m) spatial scale to reduce the effects of missing data and to enhance the significance of the trend. The regridded NDVI and NBR 28-year time series data at 500-m resolution are provided for each of the 46 sites. Two trend analyses were run on the 500-m resolution data and are reported for each site. Supplemental site metadata are also provided, including the number of valid Landsat pixels, land cover composition, and disturbance history, for each 500-m pixel.

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

The Canadian boreal forest study area and the 46 sites used in the analyses (identified by red boxes) mapped on top of: (A) ecozones (from http://canadianbiodiversity.mcgill.ca/english/ecozones/index.htm), (B) AVHRR NDVI trends (Beck and Goetz 2011), (C) tree cover from the MODIS VCF product (Hansen et al. 2003), and (D) fire disturbance from the Canadian Large Fire Database (Stocks et al. 2002). The sites were numbered in alphabetical order and site names are listed below the map.

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2162140027-ORNL_CLOUD
Data First Published 2018-05-15
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 Sulla-Menashe, D., M.A. Friedl, C. Woodcock, and E.K. Melaas. 2018. ABoVE: Peak Greenness for Canadian Boreal Forest from Landsat 5 TM Imagery, 1984-2011. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1587
Graphic Preview Description The Canadian boreal forest study area and the 46 sites used in the analyses (identified by red boxes) mapped on top of: (A) ecozones (from http://canadianbiodiversity.mcgill.ca/english/ecozones/index.htm), (B) AVHRR NDVI trends (Beck and Goetz 2011), (C) tree cover from the MODIS VCF product (Hansen et al. 2003), and (D) fire disturbance from the Canadian Large Fire Database (Stocks et al. 2002). The sites were numbered in alphabetical order and site names are listed below the map.
Graphic Preview File https://daac.ornl.gov/ABOVE/guides/Canada_Boreal_Forest_Greenness_Fig1.png
Harvest Object Id 0e0f9ab2-1210-4ff9-ae3f-22f548c79829
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/1587
Metadata Type geospatial
Old Spatial -124.47 45.32 -53.91 63.44
Program Code 026:001
Source Datajson Identifier True
Source Hash 616b450cbf54ea236a6959e9bfc9b4d4e9f5780082c5e9d229cd4cf22f4ccf93
Source Schema Version 1.1
Spatial
Temporal 1970-01-01T00:00:00Z/2014-12-31T23:59:59Z

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