5 datasets found
  1. d

    Data from: Digital Elevation Models of Glacier Bay National Park, Between...

    • catalog.data.gov
    • data.doi.gov
    Updated May 2, 2025
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    U.S. Geological Survey (2025). Digital Elevation Models of Glacier Bay National Park, Between Lituya Bay and Icy Point, Alaska, Derived from Airborne Lidar Data Acquired in September 2015 [Dataset]. https://catalog.data.gov/dataset/digital-elevation-models-of-glacier-bay-national-park-between-lituya-bay-and-icy-point-ala
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    Dataset updated
    May 2, 2025
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Lituya Bay, Alaska, Glacier Bay Basin
    Description

    This dataset provides four digital elevation models derived from airborne lidar data acquired over four separate areas along and adjacent to the Fairweather Fault along the remote Gulf of Alaska coast within Glacier Bay National Park. In 1958, the Fairweather Fault in southeast Alaska ruptured over 260 km between Yakutat Bay and Cross Sound, producing the magnitude 7.8 Lituya Bay earthquake. To better understand the extent of surface rupture and identify sites to investigate for evidence of past earthquakes, the USGS Alaska Science Center collaborated with the National Park Service, the Army Corps of Engineers' Cold Regions Research and Engineering Laboratory (CRREL), and the National Center for Airborne Lidar Mapping (NCALM) at the University of Houston to collect over 166 square kilometers of high-resolution airborne lidar (Light Detection and Ranging) data. CRREL developed and deployed the Helipod lidar system, designed for use on a Robinson R44 Raven II helicopter, to acquire more than 34.4 million laser measurements. The measurements have vertical and horizontal accuracies of +/-10 cm. NCALM processed the lidar data to remove laser returns from vegetation and enhance laser returns from the ground surface. The derivative “bare-Earth” data include 1.4 to 2.3 laser returns per square meter, which were used to produce 1-m-per-pixel digital elevation models (DEM) for four areas between Lituya Bay and Icy Point.

  2. i

    Data from: 2018 IEEE GRSS Data Fusion Challenge – Fusion of Multispectral...

    • ieee-dataport.org
    Updated Dec 18, 2020
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    Saurabh Prasad (2020). 2018 IEEE GRSS Data Fusion Challenge – Fusion of Multispectral LiDAR and Hyperspectral Data [Dataset]. https://ieee-dataport.org/open-access/2018-ieee-grss-data-fusion-challenge-fusion-multispectral-lidar-and-hyperspectral-data
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    Dataset updated
    Dec 18, 2020
    Authors
    Saurabh Prasad
    License

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

    Description

    2017 between 16:31 and 18:18 GMT.

  3. W

    Slumgullion Landslide, Colorado

    • wifire-data.sdsc.edu
    laz
    Updated Aug 16, 2024
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    OpenTopography (2024). Slumgullion Landslide, Colorado [Dataset]. https://wifire-data.sdsc.edu/dataset/slumgullion-landslide-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

    Airborne lidar was collected by NCALM for PI Dr. Hyongki Lee (University of Houston) over the Slumgullion Landslide, Colorado. This dataset includes data from survey one of three in the collection. Three surveys were conducted on July 3, 7, 10, 2015 (DOY 184, 188, 191). The Slumgullion Earthflow, a slow moving landslide, crawled down the valley about 700 years ago creating the 4 miles (6.4 km) long and 2,000 feet (610 m) wide mass. The earthflow lies a few miles south east of Lake City. The landmark site covers 1,291 acres (522 ha) and is owned by the US Forest Service and the Bureau of Land Management. It is "a striking example of mass wasting (the movement of large masses of earth material)." Lake San Cristobal was dammed by the earthflow. The earthflow has been moving continuously for about 300 years over older stable rock. It moves at a rate of about 7 meters (23 feet) per year. Slumgullion Earthflow. (2017, April 12). In Wikipedia, The Free Encyclopedia. Retrieved 16:39, June 29, 2017, from https://en.wikipedia.org/w/index.php?title=Slumgullion_Earthflow&oldid=775038032 Publications associated with this dataset can be found at NCALM's Data Tracking Center

  4. Data from: Ancient lowland Maya complexity as revealed by airborne laser...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, zip
    Updated May 31, 2022
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    Marcello A. Canuto; Francisco Estrada-Belli; Thomas G. Garrison; Stephen D. Houston; Mary Jane Acuña; Milan Kováč; Damien Marken; Philippe Nondédéo; Luke Auld-Thomas; Cyril Castanet; David Chatelain; Carlos R. Chiriboga; Tomáš Drápela; Tibor Lieskovský; Alexandre Tokovinine; Antolín Velasquez; Juan C. Fernández-Díaz; Ramesh Shrestha; Marcello A. Canuto; Francisco Estrada-Belli; Thomas G. Garrison; Stephen D. Houston; Mary Jane Acuña; Milan Kováč; Damien Marken; Philippe Nondédéo; Luke Auld-Thomas; Cyril Castanet; David Chatelain; Carlos R. Chiriboga; Tomáš Drápela; Tibor Lieskovský; Alexandre Tokovinine; Antolín Velasquez; Juan C. Fernández-Díaz; Ramesh Shrestha (2022). Data from: Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala [Dataset]. http://doi.org/10.5061/dryad.k51j708
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    zip, binAvailable download formats
    Dataset updated
    May 31, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Marcello A. Canuto; Francisco Estrada-Belli; Thomas G. Garrison; Stephen D. Houston; Mary Jane Acuña; Milan Kováč; Damien Marken; Philippe Nondédéo; Luke Auld-Thomas; Cyril Castanet; David Chatelain; Carlos R. Chiriboga; Tomáš Drápela; Tibor Lieskovský; Alexandre Tokovinine; Antolín Velasquez; Juan C. Fernández-Díaz; Ramesh Shrestha; Marcello A. Canuto; Francisco Estrada-Belli; Thomas G. Garrison; Stephen D. Houston; Mary Jane Acuña; Milan Kováč; Damien Marken; Philippe Nondédéo; Luke Auld-Thomas; Cyril Castanet; David Chatelain; Carlos R. Chiriboga; Tomáš Drápela; Tibor Lieskovský; Alexandre Tokovinine; Antolín Velasquez; Juan C. Fernández-Díaz; Ramesh Shrestha
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Guatemala
    Description

    Lowland Maya civilization flourished in the tropical region of the Yucatan peninsula and environs for more than 2500 years (~1000 BCE to 1500 CE). Known for its sophistication in writing, art, architecture, astronomy, and mathematics, Maya civilization still poses questions about the nature of its cities and surrounding populations because of its location in an inaccessible forest. In 2016, an aerial lidar survey across 2144 square kilometers of northern Guatemala mapped natural terrain and archaeological features over several distinct areas. We present results from these data, revealing interconnected urban settlement and landscapes with extensive infrastructural development. Studied through a joint international effort of interdisciplinary teams sharing protocols, this lidar survey compels a reevaluation of Maya demography, agriculture, and political economy and suggests future avenues of field research.

  5. a

    Interactive River Flood Stages

    • hub-moorhead.hub.arcgis.com
    Updated Mar 15, 2019
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    City of Moorhead (2019). Interactive River Flood Stages [Dataset]. https://hub-moorhead.hub.arcgis.com/documents/d0dc38fe406d4bc2b034e2e769cde1f4
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    Dataset updated
    Mar 15, 2019
    Dataset authored and provided by
    City of Moorhead
    Description

    This GIS Mapping Application provides information on the Red River Flood stage levels that may affect properties and structures in the City of Moorhead. The 1/2 foot stages were derived from depth grids generated by Houston Engineering from the LiDAR data acquired during the May 2017 imagery\LiDAR project. The Application references the USGS gage station on the Red River by the water treatment plant in Fargo, ND. The current river stage (when above 24 feet) will be displayed automatically in the map.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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U.S. Geological Survey (2025). Digital Elevation Models of Glacier Bay National Park, Between Lituya Bay and Icy Point, Alaska, Derived from Airborne Lidar Data Acquired in September 2015 [Dataset]. https://catalog.data.gov/dataset/digital-elevation-models-of-glacier-bay-national-park-between-lituya-bay-and-icy-point-ala

Data from: Digital Elevation Models of Glacier Bay National Park, Between Lituya Bay and Icy Point, Alaska, Derived from Airborne Lidar Data Acquired in September 2015

Related Article
Explore at:
Dataset updated
May 2, 2025
Dataset provided by
U.S. Geological Survey
Area covered
Lituya Bay, Alaska, Glacier Bay Basin
Description

This dataset provides four digital elevation models derived from airborne lidar data acquired over four separate areas along and adjacent to the Fairweather Fault along the remote Gulf of Alaska coast within Glacier Bay National Park. In 1958, the Fairweather Fault in southeast Alaska ruptured over 260 km between Yakutat Bay and Cross Sound, producing the magnitude 7.8 Lituya Bay earthquake. To better understand the extent of surface rupture and identify sites to investigate for evidence of past earthquakes, the USGS Alaska Science Center collaborated with the National Park Service, the Army Corps of Engineers' Cold Regions Research and Engineering Laboratory (CRREL), and the National Center for Airborne Lidar Mapping (NCALM) at the University of Houston to collect over 166 square kilometers of high-resolution airborne lidar (Light Detection and Ranging) data. CRREL developed and deployed the Helipod lidar system, designed for use on a Robinson R44 Raven II helicopter, to acquire more than 34.4 million laser measurements. The measurements have vertical and horizontal accuracies of +/-10 cm. NCALM processed the lidar data to remove laser returns from vegetation and enhance laser returns from the ground surface. The derivative “bare-Earth” data include 1.4 to 2.3 laser returns per square meter, which were used to produce 1-m-per-pixel digital elevation models (DEM) for four areas between Lituya Bay and Icy Point.

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