Citation:
Citation_Information:
Originator: Emily J. Sturdivant
Originator: Erika E. Lentz
Originator: E. Robert Thieler
Originator: David P. Remsen
Originator: Simon Miner
Publication_Date: 2017
Title:
Digital elevation model (DEM) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF)
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F7KW5F04
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Other_Citation_Details:
The first link is to the publication landing page. The second link is to the page containing the data.
Online_Linkage: https://doi.org/10.5066/F7KW5F04
Online_Linkage:
Larger_Work_Citation:
Citation_Information:
Originator: Emily J. Sturdivant
Originator: E. Robert Thieler
Originator: Erika E. Lentz
Originator: David P. Remsen
Originator: Simon Miner
Publication_Date: 2017
Title:
Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016
Edition: 1.0
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F7KW5F04
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Sturdivant, E.J., Thieler, E.R., Lentz, E.E., Remsen, D.P., and Miner, Simon, 2017, Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016: U.S. Geological Survey data release,
https://doi.org/10.5066/F7KW5F04.
Online_Linkage: https://doi.org/10.5066/F7KW5F04
Online_Linkage:
Description:
Abstract:
Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms as a cost-effective alternative to lidar and aerial/satellite imagery to support coastal studies requiring high-resolution elevation or remote sensing data. A small UAS was used to capture low-altitude photographs and GPS devices were used to survey reference points. These data were processed in an SfM workflow to create an elevation point cloud, an orthomosaic image, and a digital elevation model.
Purpose:
The gridded DEM surface estimates the elevation of the land surface at a mid-day low-tide on 18 March, 2016. It was created to demonstrate the use of structure-from-motion for coastal research and to provide a means to measure the accuracy of the elevation measured through SfM photogrammetry. It is released to provide an elevation dataset that is more accessible than the LAZ elevation point cloud for the general user.
Supplemental_Information:
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20160318
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -70.643977
East_Bounding_Coordinate: -70.639736
North_Bounding_Coordinate: 41.587071
South_Bounding_Coordinate: 41.582607
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:59b00ef9e4b020cdf7d4db5b
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: Elevation
Theme_Keyword: Gridded Data
Theme_Keyword: aerial images
Theme_Keyword: unmanned aerial system
Theme_Keyword: Structure-from-Motion
Theme_Keyword: UAS
Theme_Keyword: drone
Theme_Keyword: field activity number 2016-010-FA
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: imageryBaseMapsEarthCover
Theme_Keyword: elevation
Theme_Keyword: geoscientificInformation
Theme_Keyword: oceans
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: digital elevation models
Theme_Keyword: geospatial datasets
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Atlantic Ocean
Place_Keyword: Cape Cod
Place_Keyword: Massachusetts
Place_Keyword: Black Beach
Place_Keyword: Great Sippewissett Inlet
Place_Keyword: Great Sippewissett Marsh
Place_Keyword: Buzzards Bay
Place_Keyword: Falmouth
Access_Constraints: none
Use_Constraints:
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Emily J. Sturdivant
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: Massachusetts
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2230
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: esturdivant@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name:
Browse_Graphic_File_Description:
Color image of the DEM with hillshading generated from photogrammetry and low-altitude aerial images obtained with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016.
Browse_Graphic_File_Type: PNG
Data_Set_Credit:
Acknowledgment of the USGS Coastal and Marine Geology Program as a data source would be appreciated in products developed from these data.
Cross_Reference: