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Point cloud from low-altitude aerial imagery from unmanned aerial system (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (LAZ file)

Dates

Publication Date
Time Period
2016-03-01

Citation

Sherwood, C.R., 2017, Point cloud from low-altitude aerial imagery from unmanned aerial system (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (LAZ file): U.S. Geological Survey data release, https://doi.org/10.5066/F75M63WJ.

Summary

This point cloud was derived from low-altitude aerial images collected from an unmanned aerial system (UAS) flown in the Cape Cod National Seashore on 1 March, 2016. The objective of the project was to evaluate the quality and cost of mapping from UAS images. The point cloud contains 434,096,824 unclassifed and unedited geolocated points. The points have horizontal coordinates in NAD83(2011) UTM Zone 19 North meters, vertical coordinates in NAVD88 meters, and colors in the red-green-blue (RGB) schema. The points were generated in photogrammetric software (Agisoft Photoscan Professional v. 1.2.6) from 1122 digital images taken approximately 120 m above the ground with a Canon Powershot SX280 12-mexapixel digital camera mounted in a [...]

Contacts

Attached Files

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CACO_2016-03-01_point_cloud_browse_image.jpg
“Browse graphic of point cloud data.”
thumbnail 779.48 KB image/jpeg

“Point cloud data.”
3.61 GB application/unknown
CACO_UAS_Point_Cloud.xml
“CSDGM metadata for point cloud data.”
Original FGDC Metadata

View
33.35 KB application/fgdc+xml

Purpose

The purpose of generating and releasing this point cloud was to provide a basis for additional products (digital elevation maps and orthophoto mosaics) and for use in researching methods of automatic point-cloud classification. The broader goal of the project was to evaluate the quality of images and photogrammetric products and evaluate the cost and feasibility of mapping from UAS images.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F75M63WJ

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