LAS dataset of LiDAR data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019
Dates
Publication Date
2020-07-10
Start Date
2019-08-10
End Date
2019-08-10
Citation
Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020, Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9GXT1X1.
Summary
This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations [...]
Summary
This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019).
References:
Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging (T-LiDAR) technology, 2014-17: U.S. Geological Survey Scientific Investigations Report 2019-5023, 28 p., https://doi.org/10.3133/sir20195023
Click on title to download individual files attached to this item.
LiDAR.lasd_FGDC.xml Original FGDC Metadata
View
21.18 KB
application/fgdc+xml
Lidar_MNpt_LASdataset.zip “LAS dataset of LiDAR data and FGDC metadata”
38.41 MB
application/zip
Purpose
Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District, to define beach topography prior to placing dredge spoils to mitigate beach erosion. The LAS dataset is provided because it was used to generate the DEM of the surveyed reach of the beach.
