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

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

Year: 2024

DOI: 10.15485/2403350

License: CC-BY 4.0

Location: The NEON AOP acquired the waveform LiDAR data over a 334 km2 footprint in the East River (ER) watershed, a snow‐dominated headwater basin of the Upper Colorado River Basin (UCRB) located in the western United States. The ER is a designated testbed of Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area (WFSFA). The ER is considered representative of many snow‐dominated headwaters of the Rocky Mountains. The study domain encompasses pristine alpine, subalpine, montane, and riparian ecosystems. The ER contains high‐energy mountain streams to low‐energy meandering floodplains and is eroding primarily into the Cretaceous, carbon‐rich, marine shale of the Mancos Formation.

Temporal extent: 2018-06-12 to 2018-06-26

Bounding box: 38.814°N to 39.040°N, -107.129°W to -106.877°W

Publisher: ESS_DIVE

Tags: EARTH SCIENCE > BIOSPHERE > VEGETATION, EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY, Remote sensing, LiDAR, Waveform, NEON AOP, ESS-DIVE File Level Metadata Reporting Format, Light Detection and Ranging, National Ecological Observatory Network Airborne Observation Platform, NEON Campaign 2018, 2018 NEON and 2025 CHESS Campaigns, CATEGORICAL:NONE Waveform LiDAR, LiDAR return intensity, Wildlife Behavior, Alpine & Subalpine Ecology, Plant Biology, Hydrology & Watersheds, Snow & Ice, Geology & Tectonics, Geochemistry & Isotopes, Field Methods & Monitoring, Gunnison Basin, Research Programs

Description

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).

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