Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019

Konduri, Venkata; Breen, Amy; Hargrove, William; Hoffman, Forrest; Salmon, Verity; Iversen, Colleen; Ganguly, Auroop; Kumar, Jitendra

doi:10.5440/1828604

Title: Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019

Dataset
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Abstract

Using airborne hyperspectral remote sensing data from NASA Airborne Visible-Infrared Imaging Spectrometer- Next Generation (AVIRIS-NG) platforms in a region near NGEE-Arctic intensive watersheds at Seward peninsula of Alaska, high resolution (5m) maps of plant community distribution were developed and included in this data collected. AVIRIS-NG data collected over 2017-2019 period were used to develop deep neural networks, trained using vegetation plot observations collected at NGEE-Arctic watersheds at Kougarok, Council and Teller. A hierarchical vegetation classification scheme consisting of six classes at Level I, and 16 classes at Level II contained in two .txt files were used to developed the plant community maps for the region. Two geospatial raster data files (.tif) at both thematic levels are shared in this data collection. Data files in this collection use Alaska Albers Equal Area projection. Readme files available in three formats (*.html, *.md, *.pdf) and one *.png visualization map.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1)more »« less

Authors:

;

; Hargrove, William;

;

; Ganguly, Auroop;

Oak Ridge National Laboratory

Publication Date:: Wed Aug 31 04:00:00 UTC 2022

Other Number(s):: https://doi.org/10.5440/1828604; NGA266

DOE Contract Number:: AC05-00OR22725

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

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Collaborations:: ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; Council Road; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > BIOSPHERE > VEGETATION; ESS-DIVE File Level Metadata Reporting Format; Kougarok Road; Seward Peninsula, Alaska; Teller Road; airborne hyperspectral remote sensing data

OSTI Identifier:: 1828604

DOI:: https://doi.org/10.5440/1828604

Citation Formats


                    Konduri, Venkata, Breen, Amy, Hargrove, William, Hoffman, Forrest, Salmon, Verity, Iversen, Colleen, Ganguly, Auroop, and Kumar, Jitendra. Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019.  United States: N. p., 2022. 
        Web.  doi:10.5440/1828604.

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                    Konduri, Venkata, Breen, Amy, Hargrove, William, Hoffman, Forrest, Salmon, Verity, Iversen, Colleen, Ganguly, Auroop, & Kumar, Jitendra. Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019.  United States.  doi:https://doi.org/10.5440/1828604

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                    Konduri, Venkata, Breen, Amy, Hargrove, William, Hoffman, Forrest, Salmon, Verity, Iversen, Colleen, Ganguly, Auroop, and Kumar, Jitendra. 2022.  
"Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019".  United States.  doi:https://doi.org/10.5440/1828604.  https://www.osti.gov/servlets/purl/1828604. Pub date:Wed Aug 31 04:00:00 UTC 2022

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@article{osti_1828604,

  title        = {Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019},

  author       = {Konduri, Venkata and Breen, Amy and Hargrove, William and Hoffman, Forrest and Salmon, Verity and Iversen, Colleen and Ganguly, Auroop and Kumar, Jitendra},

  abstractNote = {Using airborne hyperspectral remote sensing data from NASA Airborne Visible-Infrared Imaging Spectrometer- Next Generation (AVIRIS-NG) platforms in a region near NGEE-Arctic intensive watersheds at Seward peninsula of Alaska, high resolution (5m) maps of plant community distribution were developed and included in this data collected. AVIRIS-NG data collected over 2017-2019 period were used to develop deep neural networks, trained using vegetation plot observations collected at NGEE-Arctic watersheds at Kougarok, Council and Teller. A hierarchical vegetation classification scheme consisting of six classes at Level I, and 16 classes at Level II contained in two .txt files were used to developed the plant community maps for the region. Two geospatial raster data files (.tif) at both thematic levels are shared in this data collection. Data files in this collection use Alaska Albers Equal Area projection. Readme files available in three formats (*.html, *.md, *.pdf) and one *.png visualization map.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},

  doi          = {10.5440/1828604},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Aug 31 04:00:00 UTC 2022},

  month        = {Wed Aug 31 04:00:00 UTC 2022}

}

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DOI: https://doi.org/10.5440/1828604

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