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Digital elevation model (DEM) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF)

Dates

Publication Date
Time Period
2016-03-18

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.

Summary

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 [...]

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Attached Files

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Extension: bb20160318_sfm_dem.zip
bb20160318_sfm_dem.tif 345.53 MB
bb20160318_sfm_dem_browse.png thumbnail 727.04 KB
bb20160318_sfm_dem.tif-ColorRamp.SLD 2.07 KB

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.

Additional Information

Raster Extension

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