72 datasets found
  1. U

    Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth...

    • data.usgs.gov
    • catalog.data.gov
    Updated Jul 18, 2024
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    Mark Bauer; Matthew Burgess; Josip Adams; Graham Sexstone; John Fulton; William Mcdermott; Lance Brady (2024). Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22 [Dataset]. http://doi.org/10.5066/P9LF15AE
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    Dataset updated
    Jul 18, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Mark Bauer; Matthew Burgess; Josip Adams; Graham Sexstone; John Fulton; William Mcdermott; Lance Brady
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jan 1, 2020 - Dec 1, 2022
    Area covered
    Colorado River, Colorado
    Description

    This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. These data were collected and generated as part of the U.S. Geological Survey's (USGS) Next Generation Water Observing Systems (NGWOS) Upper Colorado River Basin project.

  2. A

    Bathymetric lidar data from the Blue River and Colorado River, near...

    • data.amerigeoss.org
    • data.usgs.gov
    • +1more
    xml
    Updated Aug 15, 2022
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    United States (2022). Bathymetric lidar data from the Blue River and Colorado River, near Kremmling Colorado, October 18, 2018 [Dataset]. https://data.amerigeoss.org/dataset/bathymetric-lidar-data-from-the-blue-river-and-colorado-river-near-kremmling-colorado-o-18-4fd2
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    xmlAvailable download formats
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    United States
    Area covered
    Blue River, Blue River, Kremmling, Colorado River, Colorado
    Description

    The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system upstream and downstream of its confluence with the Blue River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River and 2 river transects on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on November 15, 2018. The data have been parsed into separate text files for bare earth (i.e., river bed) and water surface returns for each cross-section but have not been filtered or modified in any other way.

  3. d

    Bathymetric lidar data from the Colorado River, near McCoy, Colorado,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Bathymetric lidar data from the Colorado River, near McCoy, Colorado, September 8-9, 2021 [Dataset]. https://catalog.data.gov/dataset/bathymetric-lidar-data-from-the-colorado-river-near-mccoy-colorado-september-8-9-2021
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    McCoy, Colorado River, Colorado
    Description

    The U.S. Geological Survey contracted with LiteWave Technologies (formerly ASTRALiTe) to fly their production topo-bathymetric lidar system (Edge) along the Colorado River near McCoy, Colorado, on September 8-9, 2021. The objective of this project was to assess the potential to map river bathymetry (i.e., river-bed topography) using lidar data collected from an uncrewed aircraft system (UAS). The Edge was mounted on a UAS owned and operated by LiteWave Technologies. This data release includes data delivered to the USGS by LiteWave Technologies on November 9, 2021. Grid coordinates are projected in Universal Transverse Mercator Zone 13 North and are represented in units of meters. The topo-bathymetric elevations, in units of meters, delivered by the contractor are believed to be relative to the height of the GRS80 ellipsoid and differ from the more commonly used orthometric height computed by the addition of the geoid height to the GRS80 ellipsoid. The data is provided as a LAS file which includes points classified as bathymetric or river bottom (code 40), created, never classified (code 0), and water surface returns (code 41). These data delivered to USGS have not been filtered or modified.

  4. a

    LiDAR - From State of Colorado Office of Information Technology

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • opendata-bouldercounty.hub.arcgis.com
    Updated Apr 8, 2017
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    Boulder County (2017). LiDAR - From State of Colorado Office of Information Technology [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/1e9edf8038d04afbb0d34f99ccbb4f10
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    Dataset updated
    Apr 8, 2017
    Dataset authored and provided by
    Boulder County
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Colorado
    Description

    LiDAR data provided through the State of Colorado Office of Information Technology.

  5. a

    Barro Colorado Natural Monument DSM - LiDAR

    • stridata-si.opendata.arcgis.com
    Updated Feb 28, 2019
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    Smithsonian Institution (2019). Barro Colorado Natural Monument DSM - LiDAR [Dataset]. https://stridata-si.opendata.arcgis.com/documents/62cfe86bf16c47978478a3fbd7629b98
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    Dataset updated
    Feb 28, 2019
    Dataset authored and provided by
    Smithsonian Institution
    Area covered
    Description

    Español: Modelo Digital de Superficies (MDS) del Monumento Natural Barro Colorado, derivado de los datos de elevación provistos por la compañia Blom. Blom realizó 11 sobrevuelos del 15/08/2009 hasta el 10/09/2009, tomando alrededor de 4,837 fotografías, con un tamaño de pixel de 0.066m, cubriendo aproximadamente 6,552ha. Este MDS tiene un tamaño de pixel de 1m x 1m. Por favor, reconocer la fuente de información como STRI and NSF DEB0939907, J. Dalling, S. Hubbell y S. Dewalt que financiaron la adquisión de los datos LiDAR. El documento que contiene la información técnica sobre el sobrevuelo realizado por Bloom, se puede descargar en Documento Técnico del sobrevuelo LiDAR English: Barro Colorado Natural Monument Digital Surface Model derived from the Lidar elevation data provided by the company Blom. Blom made 11 overflights from 08/15/2009 to 09/10/2009, taking 4,837 images, with a pixel size of 0.066m, covering about 6,552Ha. This DSM has a pixel size of 1m x 1m. Please acknowledge STRI and NSF DEB0939907, J. Dalling, S. Hubbell and S. Dewalt which funded acquisition of the LiDAR data. The technical documentation about the flights made by Bloom, may be download from LiDAR Overflight Technical Details.DTM vs DSMDSM = (earth) surface including objects on it DTM = (earth) surface without any objects

  6. LAPSE-RATE ground-based Doppler lidar datasets from Univ Colorado Boulder

    • zenodo.org
    • data.niaid.nih.gov
    nc
    Updated May 13, 2020
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    Julie K. Lundquist; Julie K. Lundquist; Patrick Murphy; Patrick Murphy; Camden Plunkett; Camden Plunkett (2020). LAPSE-RATE ground-based Doppler lidar datasets from Univ Colorado Boulder [Dataset]. http://doi.org/10.5281/zenodo.3804164
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    ncAvailable download formats
    Dataset updated
    May 13, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Julie K. Lundquist; Julie K. Lundquist; Patrick Murphy; Patrick Murphy; Camden Plunkett; Camden Plunkett
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Boulder, Colorado
    Description

    This dataset includes measurements obtained using the University of Colorado Windcube v1 lidars during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign. This campaign took place in the San Luis Valley of Colorado between 14-21 July, 2018.

    On 14 July, both lidars were co-located at the Saguache site for intercomparison. WC49 (here named DPLR2) was moved to the Moffat School site late in the day on the 14th. Moffat School data starts on the 15th.

    Bad or missing data is set to -9999.0 for all fields.

    The a1 and the a2 datafiles are identical except that the a2 files include beam information (0, 90, 180, or 270) that was omitted from the a1 files.

  7. d

    Lidar Survey of a Partially Burned Mountain Watershed, CO 2023

    • search.dataone.org
    • portal.opentopography.org
    • +1more
    Updated May 7, 2025
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    OpenTopography (2025). Lidar Survey of a Partially Burned Mountain Watershed, CO 2023 [Dataset]. https://search.dataone.org/view/sha256%3A02c6807c1f6ef429e45444635babf9f958ff0e55fc2c6598b863671c388fb46a
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    Dataset updated
    May 7, 2025
    Dataset provided by
    OpenTopography
    Time period covered
    Oct 5, 2023
    Area covered
    Description

    This lidar dataset was collected as part of an NCALM Seed grant for Christian Roumelis at the Ohio State University. This dataset was collected to help understand the interactions between log jams, stream morphology, and groundwater in a partially burned mountain watershed. Data was collected over the Fort Collins/Loveland, Colorado area.

  8. d

    2023 high-resolution airborne LiDAR data for Barro Colorado Island and other...

    • smithsonian.dataone.org
    Updated Oct 24, 2024
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    ForestGEO Smithsonian (2024). 2023 high-resolution airborne LiDAR data for Barro Colorado Island and other Smithsonian ForestGEO Sites in Central Panama. [Dataset]. http://doi.org/10.60635/C34W2W
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    Dataset updated
    Oct 24, 2024
    Dataset provided by
    Smithsonian Research Data Repository
    Authors
    ForestGEO Smithsonian
    Time period covered
    May 26, 2023 - May 27, 2023
    Area covered
    Description

    Data are available for download at: https://smithsonian.dataone.org/datasets/ALS_Panama_2023/ Small-footprint airborne lidar, or Airborne Laser Scanning (ALS), data provides detailed information about forest vertical structure as well as ground topography. Such data are used extensively for estimating canopy height, forest above ground biomass density, leaf area indices and more, and for calibrating and validating satellite remote sensing products. The 2023 data collection campaign covered 3825.24 ha across 11 areas. It included both high-lidar data (20.31 shots per square meter) and RGB orthophotos (6 cm resolution). LiDAR data were collected with an IGI LiteMapper 6800i, which incorporates a Riegl LMS680 full waveform sensor. RGB imagery was collected with a Nikon D800E SLR camera. The covered area included all 1542 ha of Barro Colorado Island, all 700 ha of the Panama Canal Watershed Project at Agua Salud, parts of the Gigante peninsula of the Barro Colorado Nature Monument including a long-term factorial nutrient addition experiment as well as experimental liana removal plots, the San Lorenzo canopy crane site and San Lorenzo ForestGEO plot (formerly the Sherman plot), the Parque Metropolitano canopy crane site, the Limbo bird plot on Pipeline Road (Camino Oleoducto) in Parque Nacional Soberania, and other areas in and around annually measured Smithsonian ForestGEO 1-ha plots (Panama Small Plots) of P05, P06, P07, P09, P12, P14, P15, P16, elcharco,fincaroubik,metrop, panamapacifico, soberania, San Lorenzo, Santa Rita, Parque Natural Metropolitano, and Parque Nacional Soberanía.Within all sites there are established plots for the observation of forest diversity, secondary forest regrowth, lianas and more. The data collection campaign was contracted to the company STEREOCARTO which specializes in geographic engineering, GIS, geodesy, and topography. All areas were sampled during May 26 and 27 of 2023 using a helicopter Bell 206 JR III. The dataset contains a wide range of data products such as digital elevation models, digital surface models, canopy height models, orthomosaics,RGB images, classified point clouds and raw LiDAR data.

  9. Teaching Module: Disturbance Events - Colorado 2013 Flooding Teaching Data...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    zip
    Updated Oct 31, 2016
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    NEON Data Skills Teaching Data Subsets (2016). Teaching Module: Disturbance Events - Colorado 2013 Flooding Teaching Data Subset [Dataset]. http://doi.org/10.6084/m9.figshare.3146284.v3
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    zipAvailable download formats
    Dataset updated
    Oct 31, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    NEON Data Skills Teaching Data Subsets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This teaching data subset contains data focused on the flooding events in 2013 in Boulder, Colorado. The subset includes publicly available data from a sources including NEON, USGS, & NOAA. See the README files in individual directories to see the provenience of each data subset. The Teaching Module & Data Activities associate with this data set can be found on the NEON Data Skills Portal.

  10. o

    Data from: LiDAR collection in August 2015 over the East River Watershed,...

    • osti.gov
    Updated Dec 31, 2016
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    Wainwright, Haruko; Williams, Kenneth (2016). LiDAR collection in August 2015 over the East River Watershed, Colorado, USA [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1412542
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    Dataset updated
    Dec 31, 2016
    Dataset provided by
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Climate and Environmental Sciences Division
    Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
    Authors
    Wainwright, Haruko; Williams, Kenneth
    Area covered
    East River, United States, Colorado
    Description

    Airborne LiDAR data were acquired over the study area on August 10th, 2015, using a Riegl Q1560 dual-channel LiDAR system mounted on a Piper Navajo. The survey was performed by Quantum Spatial in collaboration with Eagle Mapping Ltd. The data complies with the USGS QL1 standard [Heideman, 2014] with the point density more than 8 pulse per m2.

  11. W

    Niwot Ridge Long-Term Ecological Research Site, Colorado

    • wifire-data.sdsc.edu
    • portal.opentopography.org
    • +3more
    laz
    Updated Aug 16, 2024
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    OpenTopography (2024). Niwot Ridge Long-Term Ecological Research Site, Colorado [Dataset]. https://wifire-data.sdsc.edu/ca/dataset/niwot-ridge-long-term-ecological-research-site-colorado1
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    lazAvailable download formats
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    OpenTopography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Colorado
    Description

    NCALM Seed. PI: Robert Anderson, University of Colorado at Boulder. The survey area is a rectangular polygon about 48 square kilometers located 14 km west of Boulder, Colorado at the Niwot Ridge Long-Term Ecological Research Site. This area was flown and completed on September 29, 2005. Publications associated with this dataset can be found at NCALM's Data Tracking Center

  12. A

    Bathymetric lidar data from the Blue River, Colorado, October 18, 2018

    • data.amerigeoss.org
    • data.usgs.gov
    • +1more
    xml
    Updated Aug 21, 2022
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    United States (2022). Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 [Dataset]. https://data.amerigeoss.org/hu/dataset/bathymetric-lidar-data-from-the-blue-river-colorado-october-18-2018
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    xmlAvailable download formats
    Dataset updated
    Aug 21, 2022
    Dataset provided by
    United States
    Area covered
    Blue River, Colorado
    Description

    The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River just upstream of its confluence with the Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River. This data release includes data delivered to the USGS by ASTRALite on November 15, 2018. The data have been parsed into separate text files for bare earth (i.e., river bed) and water surface returns for each cross-section but have not been filtered or modified in any other way.

  13. W

    Kremmling, CO: Blue and Colorado River Confluence

    • wifire-data.sdsc.edu
    • portal.opentopography.org
    • +3more
    laz
    Updated Aug 16, 2024
    + more versions
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    OpenTopography (2024). Kremmling, CO: Blue and Colorado River Confluence [Dataset]. https://wifire-data.sdsc.edu/dataset/kremmling-co-blue-and-colorado-river-confluence1
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    lazAvailable download formats
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    OpenTopography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Kremmling, Colorado
    Description

    PI: Dr. Craig Glennie, University of Houston. NSF Project. The survey area is located over the confluence of Blue and Colorado rivers south of Kremmling, Colorado. Data were collected to test the Aquarius bathymetry laser since the confluence creates a variety of conditions with clear and muddy waters mixing from the two rivers. The Aquarius was tested for bathymetric performance with respect to water turbidity within the rivers. The data on OpenTopography are from the Gemini instrument. Bathymetric point cloud data (LAZ) from the Optech Aquarius sensor are available via the "bulk download" link below. Publications associated with this dataset can be found at NCALM's Data Tracking Center

  14. W

    Raleigh Peak, Colorado: May 2010

    • wifire-data.sdsc.edu
    • portal.opentopography.org
    • +2more
    laz
    Updated Aug 16, 2024
    + more versions
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    OpenTopography (2024). Raleigh Peak, Colorado: May 2010 [Dataset]. https://wifire-data.sdsc.edu/pl/dataset/raleigh-peak-colorado-may-20101
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    lazAvailable download formats
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    OpenTopography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Raleigh Peak, Colorado
    Description

    NCALM Project. PI: Greg Tucker, University of Colorado, Boulder. The survey area totals 62 square kilometers and consists of one irregular polygon located ~45 km southwest of Denver, Colorado, and ~30 km west of Castle Rock, Colorado. The survey took place on May 7, 2010. Publications associated with this dataset can be found at NCALM's Data Tracking Center

  15. a

    Barro Colorado Nature Monument - DTM LiDAR

    • stridata-si.opendata.arcgis.com
    Updated Apr 3, 2023
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    Smithsonian Institution (2023). Barro Colorado Nature Monument - DTM LiDAR [Dataset]. https://stridata-si.opendata.arcgis.com/maps/2c8bbc369d9541f586e4e38600af6112
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    Dataset updated
    Apr 3, 2023
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Español: Modelo Digital del Terreno (MDT) del Monumento Natural Barro Colorado, derivado de los datos de elevación provistos por la compañia Blom. Blom realizó 11 sobrevuelos del 15/08/2009 hasta el 10/09/2009, tomando alrededor de 4,837 fotografías, con un tamaño de pixel de 0.066m, cubriendo aproximadamente 6,552ha. Este MDT tiene un tamaño de pixel de 1m x 1m. Por favor, reconocer la fuente de información como STRI and NSF DEB0939907, J. Dalling, S. Hubbell y S. Dewalt que financiaron la adquisión de los datos LiDAR. El documento que contiene la información técnica sobre el sobrevuelo realizado por Bloom, se puede descargar en Documento Técnico del sobrevuelo LiDAR. Para descargar el archivo TIF original, utilice el DOI siguiente https://doi.org/10.25573/data.25843519.v1 English: Barro Colorado Natural Monument Digital Elevation Model derived from the Lidar elevation data provided by the company Blom. Blom made 11 overflights from 08/15/2009 to 09/10/2009, taking 4,837 images, with a pixel size of 0.066m, covering about 6,552Ha. This DTM has a pixel size of 1m x 1m. Please acknowledge STRI and NSF DEB0939907, J. Dalling, S. Hubbell and S. Dewalt which funded acquisition of the LiDAR data. The technical documentation about the flights made by Bloom, may be download from LiDAR Overflight Technical Details. To download the original TIF file, please use the following DOI: https://doi.org/10.25573/data.25843519.v1DTM vs DSMDSM = (earth) surface including objects on it DTM = (earth) surface without any objects

  16. d

    Lidar Point Clouds (LPC) Derived from Lidar Data Collected by Small,...

    • catalog.data.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Lidar Point Clouds (LPC) Derived from Lidar Data Collected by Small, Uncrewed Aircraft Systems (sUAS) in Three Study Areas in Colorado, 2020-22 [Dataset]. https://catalog.data.gov/dataset/lidar-point-clouds-lpc-derived-from-lidar-data-collected-by-small-uncrewed-aircraft-sys-20
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Description

    These light detection and ranging (lidar) point clouds (LPCs) were generated from lidar data collected during multiple field campaigns in three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) collected lidar datasets to represent snow-covered and snow-free periods. More information regarding the sUAS used and data collection methods can be found in the Supplemental Information and process step sections of each study area metadata file.

  17. d

    Digital Elevation Models (DEMs) Derived from Lidar Point Clouds (LPCs)...

    • datasets.ai
    • data.usgs.gov
    • +2more
    55
    Updated Aug 26, 2024
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    Department of the Interior (2024). Digital Elevation Models (DEMs) Derived from Lidar Point Clouds (LPCs) Collected by Small, Uncrewed Aircraft Systems (sUAS) at Three Study Areas in Colorado, 2020-22 [Dataset]. https://datasets.ai/datasets/digital-elevation-models-dems-derived-from-lidar-point-clouds-lpcs-collected-by-small-u-20
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    55Available download formats
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Colorado
    Description

    These digital elevation models (DEMs) were generated from light detection and ranging (lidar) point clouds (LPCs) derived from lidar data collected during multiple field campaigns at three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) were used to collect lidar datasets to represent snow-covered and snow-free periods.

  18. W

    Boulder Creek Critical Zone Observatory August 2010 LiDAR Survey

    • wifire-data.sdsc.edu
    • portal.opentopography.org
    • +2more
    laz
    Updated Aug 16, 2024
    + more versions
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    OpenTopography (2024). Boulder Creek Critical Zone Observatory August 2010 LiDAR Survey [Dataset]. https://wifire-data.sdsc.edu/dataset/boulder-creek-critical-zone-observatory-august-2010-lidar-survey1
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    lazAvailable download formats
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    OpenTopography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Boulder
    Description

    2010 Boulder Creek, Colorado Snow-Off LiDAR Surveys LiDAR was acquired for a 600 km2 area inside the Boulder Creek watershed during a snow-off (August, 2010) time slice, near Boulder Colorado. This data was collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by the National Science Foundation (NSF). The dataset contains 1 m Digital Surface Models (first-stop), Digital Terrain Models (bare-earth), and 10 points/m2 LAS-formated point cloud tiles. The DSMs and DTMs are available in GeoTIFF format, approx. 1-2 GB each, with associated shaded relief models, for a total of 15 GB of data. The Digital Terrain Model (DTM) is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. Accessory layers consist of index map layers for point cloud tiles, DEM extent, and flight lines. Other LiDAR DSMs, DTMs, and point cloud data available in this series include snow-on data for 2010. Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The "Critical Zone" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality. PLEASE READ the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. Also included are flight lines, survey reports, reference materials, and DEM extent shapefiles. Publications associated with this dataset can be found at NCALM's Data Tracking Center

  19. a

    Barro Colorado Island Elevation Layer

    • stridata-si.opendata.arcgis.com
    Updated Nov 7, 2021
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    Smithsonian Institution (2021). Barro Colorado Island Elevation Layer [Dataset]. https://stridata-si.opendata.arcgis.com/datasets/36d486f241094088b7782807fc48a7e5
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    Dataset updated
    Nov 7, 2021
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Barro Colorado Natural Monument Digital Elevation Model derived from the Lidar elevation data provided by the company Blom. Blom made 11 overflights from 08/15/2009 to 09/10/2009, taking 4,837 images, with a pixel size of 0.066m, covering about 6,552Ha. This DEM has a pixel size of 1m x 1m. Please acknowledge STRI and NSF DEB0939907, J. Dalling, S. Hubbell and S. Dewalt which funded acquisition of the LiDAR data.

  20. d

    Airborne Lidar Data (2016 and 2021) Capturing Debris Flow Erosion and...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Airborne Lidar Data (2016 and 2021) Capturing Debris Flow Erosion and Deposition after the Grizzly Creek Fire in Glenwood Canyon, Colorado [Dataset]. https://catalog.data.gov/dataset/airborne-lidar-data-2016-and-2021-capturing-debris-flow-erosion-and-deposition-after-the-g
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Glenwood Canyon, Colorado
    Description

    This dataset contains lidar digital elevation models (DEMs). The lidar data were collected before (2016) and after (2021) the Grizzly Creek Fire, which occurred in 2020. The 2016 lidar was collected during a series of flights between 10 June and 7 October 2016. The 2021 lidar flight was conducted in full on 24 August 2021. The files are named with the following convention: Vendor_Year_Resolution_merged_Watershed. The vendor is either Merrick (2016 data) or Sanborn (2021), the year is either 2016 or 2021, the resolution is 1 meter in both cases, and the watershed is labeled as HUC1, HUC2, HUC3_N_side, or HUC3_S_side. Additionally, the files from the individual vendors were uploaded to two separate compressed folders: Merrick_2016_1m_merged_HUCx.zip and Sanborn_2021_1m_merged_HUCx.zip.

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Mark Bauer; Matthew Burgess; Josip Adams; Graham Sexstone; John Fulton; William Mcdermott; Lance Brady (2024). Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22 [Dataset]. http://doi.org/10.5066/P9LF15AE

Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 18, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Mark Bauer; Matthew Burgess; Josip Adams; Graham Sexstone; John Fulton; William Mcdermott; Lance Brady
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Time period covered
Jan 1, 2020 - Dec 1, 2022
Area covered
Colorado River, Colorado
Description

This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. These data were collected and generated as part of the U.S. Geological Survey's (USGS) Next Generation Water Observing Systems (NGWOS) Upper Colorado River Basin project.

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