NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data

Goulden, Tristan; Worsham, H. Marshall; Hass, Bridget; Brodie, Eoin; Chadwick, K. Dana; Falco, Nicola; Maher, Kate; Wainwright, Haruko; Williams, Kenneth; Kueppers, Lara

doi:10.15485/2403350

Title: NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data

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Abstract

The waveform Light Detection and Ranging (LiDAR) data in this package were generated through a National Ecological Observatory Network Airborne Observation Platform (NEON AOP) acquisition over watersheds of interest surrounding Crested Butte, Colorado. The remote sensing imagery acquired by the NEON AOP supports an interdisciplinary project on hydrology, biogeochemistry, and ecosystem functioning in a snow-dominated headwater environment. These waveform LiDAR data enable spatially continuous estimation of vegetation structure parameters to facilitate analyses of the major environmental drivers of structural and compositional variability. The package contains 97 compressed file archives in 7-zip (.7z) format, each corresponding to one acquisition flightpath. Within each .7z archive is a set of constituent files describing properties of the LiDAR waveforms, such as return intensity, geolocation, outgoing pulse and other behavior of the sensor and signals. Once downloaded, the files must first be unzipped using the widely distributed command-line software utility 7z, using the command '7z x \[filename\].7z \[target_directory\]'. All files within the .7z archives can be opened in IDL, MatLab, or the open-source R statistical computing environment. Further details about the data package are in the attached user guide (neon_aop_crbu_waveformlidar_userguide.pdf).

Authors:

Goulden, Tristan;

; Hass, Bridget;

;

National Ecological Observatory Network
University of California Berkeley
Lawrence Berkeley National Laboratory
Stanford University
Massachusetts Institute of Technology
University of California Berkeley

Publication Date:: Mon Jan 01 04:00:00 UTC 2024

DOE Contract Number:: AC02-05CH11231

Research Org.:: Watershed Function SFA

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

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > VEGETATION; EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY; ESS-DIVE File Level Metadata Reporting Format; LiDAR; LiDAR return intensity; Light Detection and Ranging; NEON AOP; NEON Campaign 2018; National Ecological Observatory Network Airborne Observation Platform; Remote sensing; Waveform; Waveform LiDAR

OSTI Identifier:: 2403350

DOI:: https://doi.org/10.15485/2403350

Citation Formats


                    Goulden, Tristan, Worsham, H. Marshall, Hass, Bridget, Brodie, Eoin, Chadwick, K. Dana, Falco, Nicola, Maher, Kate, Wainwright, Haruko, Williams, Kenneth, and Kueppers, Lara. NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data.  United States: N. p., 2024. 
        Web.  doi:10.15485/2403350.

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                    Goulden, Tristan, Worsham, H. Marshall, Hass, Bridget, Brodie, Eoin, Chadwick, K. Dana, Falco, Nicola, Maher, Kate, Wainwright, Haruko, Williams, Kenneth, & Kueppers, Lara. NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data.  United States.  doi:https://doi.org/10.15485/2403350

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                    Goulden, Tristan, Worsham, H. Marshall, Hass, Bridget, Brodie, Eoin, Chadwick, K. Dana, Falco, Nicola, Maher, Kate, Wainwright, Haruko, Williams, Kenneth, and Kueppers, Lara. 2024.  
"NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data".  United States.  doi:https://doi.org/10.15485/2403350.  https://www.osti.gov/servlets/purl/2403350. Pub date:Mon Jan 01 04:00:00 UTC 2024

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@article{osti_2403350,

  title        = {NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data},

  author       = {Goulden, Tristan and Worsham, H. Marshall and Hass, Bridget and Brodie, Eoin and Chadwick, K. Dana and Falco, Nicola and Maher, Kate and Wainwright, Haruko and Williams, Kenneth and Kueppers, Lara},

  abstractNote = {The waveform Light Detection and Ranging (LiDAR) data in this package were generated through a National Ecological Observatory Network Airborne Observation Platform (NEON AOP) acquisition over watersheds of interest surrounding Crested Butte, Colorado. The remote sensing imagery acquired by the NEON AOP supports an interdisciplinary project on hydrology, biogeochemistry, and ecosystem functioning in a snow-dominated headwater environment. These waveform LiDAR data enable spatially continuous estimation of vegetation structure parameters to facilitate analyses of the major environmental drivers of structural and compositional variability. The package contains 97 compressed file archives in 7-zip (.7z) format, each corresponding to one acquisition flightpath. Within each .7z archive is a set of constituent files describing properties of the LiDAR waveforms, such as return intensity, geolocation, outgoing pulse and other behavior of the sensor and signals. Once downloaded, the files must first be unzipped using the widely distributed command-line software utility 7z, using the command '7z x \[filename\].7z \[target_directory\]'. All files within the .7z archives can be opened in IDL, MatLab, or the open-source R statistical computing environment. Further details about the data package are in the attached user guide (neon_aop_crbu_waveformlidar_userguide.pdf).},

  doi          = {10.15485/2403350},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 01 04:00:00 UTC 2024},

  month        = {Mon Jan 01 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.15485/2403350

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