Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010

Remote sensing-based characterization of plant functional type distributions at the Barrow Environmental Observatory. Dataset DOI: https://doi.org/10.5440/1123668 Additional details are available in the associated paper Langford, et. al. 2016. Mapping Arctic Plant Functional Type Distributions in th...

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Main Authors: Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest
Language:unknown
Published: 2019
Subjects:
54 Environmental Sciences
Arctic
Online Access:http://www.osti.gov/servlets/purl/1123668
https://www.osti.gov/biblio/1123668
https://doi.org/10.5440/1123668
id ftosti:oai:osti.gov:1123668
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spelling ftosti:oai:osti.gov:1123668 2023-07-30T04:01:20+02:00 Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010 Langford, Zachary Kumar, Jitendra Hoffman, Forrest 2019-10-07 application/pdf http://www.osti.gov/servlets/purl/1123668 https://www.osti.gov/biblio/1123668 https://doi.org/10.5440/1123668 unknown http://www.osti.gov/servlets/purl/1123668 https://www.osti.gov/biblio/1123668 https://doi.org/10.5440/1123668 doi:10.5440/1123668 54 Environmental Sciences 2019 ftosti https://doi.org/10.5440/1123668 2023-07-11T08:55:50Z Remote sensing-based characterization of plant functional type distributions at the Barrow Environmental Observatory. Dataset DOI: https://doi.org/10.5440/1123668 Additional details are available in the associated paper Langford, et. al. 2016. Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets. Remote Sens. 2016, 8, 733. http://dx.doi.org/10.3390/rs8090733 Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 Environmental Sciences
spellingShingle 54 Environmental Sciences
Langford, Zachary
Kumar, Jitendra
Hoffman, Forrest
Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010
topic_facet 54 Environmental Sciences
description Remote sensing-based characterization of plant functional type distributions at the Barrow Environmental Observatory. Dataset DOI: https://doi.org/10.5440/1123668 Additional details are available in the associated paper Langford, et. al. 2016. Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets. Remote Sens. 2016, 8, 733. http://dx.doi.org/10.3390/rs8090733
author Langford, Zachary
Kumar, Jitendra
Hoffman, Forrest
author_facet Langford, Zachary
Kumar, Jitendra
Hoffman, Forrest
author_sort Langford, Zachary
title Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010
title_short Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010
title_full Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010
title_fullStr Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010
title_full_unstemmed Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010
title_sort remote sensing-based characterization, 2-m, plant functional type distributions, barrow environmental observatory, 2010
publishDate 2019
url http://www.osti.gov/servlets/purl/1123668
https://www.osti.gov/biblio/1123668
https://doi.org/10.5440/1123668
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation http://www.osti.gov/servlets/purl/1123668
https://www.osti.gov/biblio/1123668
https://doi.org/10.5440/1123668
doi:10.5440/1123668
op_doi https://doi.org/10.5440/1123668
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