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Deciduous Fractional Cover and Tree Canopy Cover for Boreal North America, 1992-2015

Metadata Updated: December 6, 2023

This dataset holds deciduous fraction and tree canopy cover at 30-m resolution over the North American boreal domain for 1992 to 2015. Deciduous fraction is the areal percentage of deciduous trees relative to all tree canopy cover within a pixel, and tree canopy cover is the areal percentage of a pixel that is covered by tree canopy. Deciduous fraction values are valid only for pixels with tree canopy cover >25 percent. Normalized difference vegetation index (NDVI)-based median-value image composites were derived from Landsat 5, 7, and 8 Collection 1 surface reflectance datasets for years 1987-1997, 1998-2002, 2003-2007, 2008-2012, and 2013-2018 to create composites for nominal years 1992, 2000, 2005, 2010, and 2015, respectively. These image composites were prepared for early spring, mid-summer, and mid-to-late fall seasons to identify key differences in deciduous and evergreen green-up amplitudes. Random Forest (RF) regression models were used to derive deciduous fraction and tree canopy cover from the image composites. These models were trained with data from in-situ samples across Alaska and Canada from a variety of studies. Seventy percent of the in-situ samples were used for training and 30% for validation. Per-pixel uncertainty for both deciduous fraction and tree canopy cover are included and were based on one standard deviation of output values across all decision trees in the RF regression. These datasets were developed as part of NASA's ABoVE project to capture forest composition changes over the North American boreal domain across the last several decades. The data are provided in GeoTIFF format.

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 October 25, 2023
Metadata Updated Date December 6, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Deciduous fraction (A) and tree canopy cover layer (B) for boreal North America in 2015. Inset (C) depicts deciduous fraction for an area in southeast Alaska with the absolute value of per-pixel uncertainty (D). Similarly, tree canopy cover (E) and its uncertainty (F) are shown. High resolution imagery from Google Earth Engine (G) is provided as reference.

Additional Metadata

Resource Type Dataset
Metadata Created Date October 25, 2023
Metadata Updated Date December 6, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2787699948-ORNL_CLOUD
Data First Published 2023-10-18
Language en-US
Data Last Modified 2023-10-22
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 Massey, R., B.M. Rogers, L.T. Berner, S. Cooperdock, M.C. Mack, X.J. Walker, and S.J. Goetz. 2023. Deciduous Fractional Cover and Tree Canopy Cover for Boreal North America, 1992-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2296
Graphic Preview Description Deciduous fraction (A) and tree canopy cover layer (B) for boreal North America in 2015. Inset (C) depicts deciduous fraction for an area in southeast Alaska with the absolute value of per-pixel uncertainty (D). Similarly, tree canopy cover (E) and its uncertainty (F) are shown. High resolution imagery from Google Earth Engine (G) is provided as reference.
Graphic Preview File https://daac.ornl.gov/ABOVE/guides/DeciduousFractionl_CanopyCover_Fig1.png
Harvest Object Id 512f4de2-4541-423a-a952-fc4078c68b76
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/2296
Metadata Type geospatial
Old Spatial -179.94 40.0 -50.0 80.25
Program Code 026:001
Source Datajson Identifier True
Source Hash b7685c8b3823f3a598daaee7c6cfe49f07e36f8c0cb5caf5531be589424edc19
Source Schema Version 1.1
Spatial
Temporal 1992-01-01T00:00:00Z/2015-12-31T23:59:59Z

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