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ABoVE: Upscaled Active Layer Thickness in Northern Alaska, 2014-2017

Metadata Updated: June 8, 2024

The dataset consists of maps of estimated Active Layer Thickness (ALT) at 30-m resolution throughout the northern half of Alaska for the years 2014, 2015, and 2017. The maps were generated by using a machine learning-based regression and a set of spatial data layers to upscale ALT from narrow swaths of ALT that were retrieved from airborne high-resolution P-band Polarimetric Synthetic Aperture Radar (PolSAR) imagery. The data are provided in cloud-optimized 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 June 8, 2024
Metadata Updated Date June 8, 2024

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Maps of active layer thickness (ALT) for northern Alaska in 2014, 2015, and 2017 estimated from P-band PolSAR imagery analyzed using a random forests (RF) machine learning regression algorithm.

Additional Metadata

Resource Type Dataset
Metadata Created Date June 8, 2024
Metadata Updated Date June 8, 2024
Publisher ORNL_DAAC
Maintainer
Identifier C2953829614-ORNL_CLOUD
Data First Published 2024-04-24
Language en-US
Data Last Modified 2024-04-26
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 Whitcomb, J., R.H. Chen, D. Clewley, J. Kimball, N.J. Pastick, Y. Yi, and M. Moghaddam. 2024. ABoVE: Upscaled Active Layer Thickness in Northern Alaska, 2014-2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2332
Graphic Preview Description Maps of active layer thickness (ALT) for northern Alaska in 2014, 2015, and 2017 estimated from P-band PolSAR imagery analyzed using a random forests (RF) machine learning regression algorithm.
Graphic Preview File https://daac.ornl.gov/ABOVE/guides/ALT_Maps_AK_CA_Fig1.jpg
Harvest Object Id b4bd12ac-a41f-44be-906b-c2b35460457f
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/2332
Metadata Type geospatial
Old Spatial -171.8 59.35 -133.05 74.72
Program Code 026:001
Source Datajson Identifier True
Source Hash 8b1a8c049b452814bb5b7bb407514a9178f2a3e14586b51498e960e149c911a9
Source Schema Version 1.1
Spatial
Temporal 2014-01-01T00:00:00Z/2017-12-31T23:59:59Z

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