Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016

doi:10.5440/1418854

Title: Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016

Abstract

A multi-sensor remote sensing-based deep learning approach was developed for generating high-resolution (5~m) vegetation maps for the western Alaskan Arctic on the Seward Peninsula, Alaska. This data was developed using the fusion of hyperspectral, multispectral, and terrain datasets. The current data is located in the Kougarok watershed but we plan to expand this over the Seward Peninsula. Dataset DOI:10.5440/1418854; https://doi.org/10.5440/1418854

Authors:: Langford, Zachary; Kumar, Jitendra; Hoffman, Forrest; Iversen, Colleen; Breen, Amy

Publication Date:: 2019-01-17

Other Number(s):: NGA147
ngee_2958F8322F70B552618256C02165EEA42018_06_20_184126518

DOE Contract Number:: DE-AC05-00OR22725

Product Type:: Dataset

Research Org.:: Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); NGEE Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: 54 Environmental Sciences

Keywords:: remote-sensing; VEGETATION; Seward Peninsula, Alaska; Kougarok

OSTI Identifier:: 1418854

DOI:: 10.5440/1418854

Citation Formats


                    Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest, Iversen, Colleen, and Breen, Amy. Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016.  United States: N. p., 2019. 
        Web.  doi:10.5440/1418854.

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                    Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest, Iversen, Colleen, & Breen, Amy. Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016.  United States.  doi:10.5440/1418854.

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                    Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest, Iversen, Colleen, and Breen, Amy. 2019.  
"Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016".  United States.  doi:10.5440/1418854.  https://www.osti.gov/servlets/purl/1418854. Pub date:Thu Jan 17 00:00:00 EST 2019

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@article{osti_1418854,

  title        = {Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016},

  author       = {Langford, Zachary and Kumar, Jitendra and Hoffman, Forrest and Iversen, Colleen and Breen, Amy},

  abstractNote = {A multi-sensor remote sensing-based deep learning approach was developed for generating high-resolution (5~m) vegetation maps for the western Alaskan Arctic on the Seward Peninsula, Alaska. This data was developed using the fusion of hyperspectral, multispectral, and terrain datasets. The current data is located in the Kougarok watershed but we plan to expand this over the Seward Peninsula. Dataset DOI:10.5440/1418854; https://doi.org/10.5440/1418854},

  doi          = {10.5440/1418854},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {1}

}

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DOI: 10.5440/1418854

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Works referencing / citing this record:

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks
journal, January 2019

Langford, Zachary L.; Kumar, Jitendra; Hoffman, Forrest M.
Remote Sensing, Vol. 11, Issue 1
DOI: 10.3390/rs11010069

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Similar Records

Title: Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016

Abstract

Citation Formats

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks journal, January 2019

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks
journal, January 2019