Citation:
Citation_Information:
Originator: Benjamin M. Jones (ORCID: 0000-0002-1517-4711)
Originator: Carson A. Baughman (ORCID: 0000-0002-0423-9324)
Originator: Chris F. Larsen
Publication_Date: 201706
Title:
Lidar Point Cloud Data of Nogahabara Sand Dunes, Alaska; September 2015
Edition: 1
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Anchorage, AK
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Jones, B. M., Baughman, C. A., Larsen C. F., 2017, Lidar Point Cloud Data of Nogahabara Sand Dunes, Alaska; September 2015: U.S. Geological data release,
https://doi.org/10.5066/F7QF8RB7.
Online_Linkage: https://doi.org/10.5066/F7QF8RB7
Larger_Work_Citation:
Citation_Information:
Originator: Benjamin M. Jones
Originator: Chris F. Larsen
Publication_Date: 2015
Title: Nogahabara Sand Dunes LIDAR Survey
Geospatial_Data_Presentation_Form: Website
Publication_Information:
Publication_Place: Anchorage, AK
Publisher: U.S. Geological Survey, Alaska Science Center
Online_Linkage: http://alaska.usgs.gov/portal/project.php?project_id=373
Description:
Abstract:
This dataset provides information needed to reproduce a digital model of the Nogahabara Dune Field located in interior Alaska. The Nogahabara Dunes represent one of three active inland dune fields found in Alaska today. In an effort to update geospatial coverage of the dunes lidar data was collected over Nogahabara Sand Dunes in September 2015 using a 1955 Cessna 180 aircraft equipped with a Riegl brand LMS-Q240i laser scanner. The scanner was set to 10,000 laser shots per second and a +/- 30 degree beam sweep and flown over the Koyukuk National Wildlife Refuge’s Nogahabara sand dunes. The flight pattern was designed for 50 percent overlap between each adjacent swath to achieve 2 points per square meter over the entire coverage. The lidar scanner was rigidly attached to a OXTS brand Inertial+2 GPS/IMU unit, which was being fed by a Trimble R7 GPS receiver. The resultant survey achieved 1.4 points per square meter. Discrete-return point cloud data are available in the LAS format.
Purpose:
Lidar data was collected to produce a high resolution (1.4 points per square meter), baseline, geospatial dataset. Potential application includes describing and cataloging dune surface features, characteristics, and extent as of September 2015. Data will also be used to quantify dune response to local fire disturbance and global climate change.
Supplemental_Information:
We provide the lidar discrete-return point cloud data in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. The files contain millions of data points individually attributed with x (longitude), y (latitude) and z (elevation) points.
Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20150901
Single_Date/Time:
Calendar_Date: 20150902
Currentness_Reference: observed
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
Lidar data was collected for the Nogahabara Sand Dunes as identified on USGS 1:63,360 scale topographic maps as well as a 0.5 - 3 km buffer area surrounding the active dunes.
Bounding_Coordinates:
West_Bounding_Coordinate: -157.632
East_Bounding_Coordinate: -157.248
North_Bounding_Coordinate: 65.748
South_Bounding_Coordinate: 65.621
Bounding_Altitudes:
Altitude_Minimum: -991.120
Altitude_Maximum: 528.400
Altitude_Distance_Units: meters
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:ASC114
Theme:
Theme_Keyword_Thesaurus: NASA Master Directory of Earth Science Keywords
Theme_Keyword: Biosphere
Theme_Keyword: Terrestrial Ecosystems
Theme_Keyword: Land Surface
Theme_Keyword: Topography
Theme_Keyword: Terrain Elevation
Theme_Keyword: Ecological Dynamics
Theme_Keyword: Fire Ecology
Theme_Keyword: Fire Dynamics
Theme_Keyword: Active Remote Sensing
Theme_Keyword: Light Detection and Ranging
Theme_Keyword: Lidar
Theme_Keyword: Remote sensing
Theme_Keyword: Airborne sensing
Theme_Keyword: Aerial surveys
Theme_Keyword: Employing equipment carried by low flying aircraft
Theme_Keyword: Dunes
Theme_Keyword: Dunelands
Theme_Keyword: Second order fire effects
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: elevation
Theme_Keyword: geoscientificinformation
Theme_Keyword: imageryBaseMapsEarthCover
Place:
Place_Keyword_Thesaurus: USGS Geographic Names Information System
Place_Keyword: Nogahabara Sand Dunes
Place_Keyword: Koyukuk National Wildlife
Place_Keyword: Refuge
Place_Keyword: Koyukuk Wilderness
Place_Keyword: Huslia
Access_Constraints: None
Use_Constraints:
It is requested that the authors and the USGS Alaska Science Center be cited for any subsequent publications that reference this dataset. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions or intended use.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey, Alaska Science Center
Contact_Address:
Address_Type: mailing and physical
Address: 4210 University Dr.
City: Anchoragee
State_or_Province: AK
Postal_Code: 99508
Country: USA
Contact_Voice_Telephone: (907) 786-7000
Contact_Electronic_Mail_Address: ascweb@usgs.gov
Security_Information:
Security_Classification_System: None
Security_Classification: Unclassified
Security_Handling_Description: None
Native_Data_Set_Environment: Riegl RiProcess software
Analytical_Tool:
Analytical_Tool_Description: suggest Riegl RiProcess
Tool_Access_Information: