National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022

Singhania, Abhinav; Glennie, Craig; Fernandez-Diaz, JuanCarlos; Hauser, Darren

doi:10.5440/1984094

Title: National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022

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Abstract

From April 3 through April 6 of 2022, airborne remote sensing data was collected by the National Center for Airborne Laser Mapping (NCALM) in collaboration with NGEE Arctic scientists. Snow-on data was collected around two NGEE Arctic study sites on the Seward Peninsula of Alaska: Teller mm 27 and Kougarok mm 64. A Robinson R44 II helicopter with a RIEGL VQ-580 II airborne laser scanner was used to collect the LiDAR point cloud data for each study site. This survey was conducted during expected peak snow cover at the end of the winter on the Seward Peninsula, and can be paired with data collected in 2021 during the snow-off campaign "National Center for Airborne Laser Mapping (NCALM) LiDAR, Imagery, and DEM data from five NGEE Arctic Sites, Seward Peninsula, Alaska, August 2021" (Singhania et al., 2023) (NGA270). This data package contains LiDAR point clouds (.las), Digital Elevation Models (.tif), and shapefiles of the .las tiling system (.shp). A project report detailing data collection details, GNSS stations and GNSS corrections, and processing steps is also included. 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-richmore »« less

Authors:

Singhania, Abhinav;

; Fernandez-Diaz, JuanCarlos; Hauser, Darren

Los Alamos National Laboratory

Publication Date:: Thu Jun 08 04:00:00 UTC 2023

Other Number(s):: https://doi.org/10.5440/1984094; NGA314

DOE Contract Number:: AC02-05CH11231

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Next-Generation Ecosystem Experiments (NGEE) Arctic

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

Collaborations:: ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY; EARTH SCIENCE > SPECTRAL/ENGINEERING > LIDAR; Kougarok Road, Alaska; LiDAR; RGB imagery; Seward Peninsula; Teller Road, Alaska; remote sensing

OSTI Identifier:: 1984094

DOI:: https://doi.org/10.5440/1984094

Citation Formats


                    Singhania, Abhinav, Glennie, Craig, Fernandez-Diaz, JuanCarlos, and Hauser, Darren. National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022.  United States: N. p., 2023. 
        Web.  doi:10.5440/1984094.

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                    Singhania, Abhinav, Glennie, Craig, Fernandez-Diaz, JuanCarlos, & Hauser, Darren. National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022.  United States.  doi:https://doi.org/10.5440/1984094

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                    Singhania, Abhinav, Glennie, Craig, Fernandez-Diaz, JuanCarlos, and Hauser, Darren. 2023.  
"National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022".  United States.  doi:https://doi.org/10.5440/1984094.  https://www.osti.gov/servlets/purl/1984094. Pub date:Thu Jun 08 04:00:00 UTC 2023

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@article{osti_1984094,

  title        = {National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022},

  author       = {Singhania, Abhinav and Glennie, Craig and Fernandez-Diaz, JuanCarlos and Hauser, Darren},

  abstractNote = {From April 3 through April 6 of 2022, airborne remote sensing data was collected by the National Center for Airborne Laser Mapping (NCALM) in collaboration with NGEE Arctic scientists. Snow-on data was collected around two NGEE Arctic study sites on the Seward Peninsula of Alaska: Teller mm 27 and Kougarok mm 64. A Robinson R44 II helicopter with a RIEGL VQ-580 II airborne laser scanner was used to collect the LiDAR point cloud data for each study site. This survey was conducted during expected peak snow cover at the end of the winter on the Seward Peninsula, and can be paired with data collected in 2021 during the snow-off campaign "National Center for Airborne Laser Mapping (NCALM) LiDAR, Imagery, and DEM data from five NGEE Arctic Sites, Seward Peninsula, Alaska, August 2021" (Singhania et al., 2023) (NGA270). This data package contains LiDAR point clouds (.las), Digital Elevation Models (.tif), and shapefiles of the .las tiling system (.shp). A project report detailing data collection details, GNSS stations and GNSS corrections, and processing steps is also included. 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          = {10.5440/1984094},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Jun 08 04:00:00 UTC 2023},

  month        = {Thu Jun 08 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.5440/1984094

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