Community Contributed Data

Contributed Data Datasets listed below were uploaded to the OpenTopography Community Dataspace by users. These small to moderate sized dataset are archived by OpenTopography so they can be reused and cited (via Digital Object Identifier). Community contributed datasets can be found via the OpenTopography Find Data page so they are discoverable and downloadable alongside data hosted by OpenTopography.

For an overview of the data space process see this tutorial.
A template of metadata to be included with your data submission can be downloaded here.
Apply to become an OpenTopography data contributor here.

To contribute a dataset, users must register for an OpenTopography account and get approval to submit datasets (via Dataspace). Please log in or create an account to get started.
1   Caracol/Chiquibul Belize Lidar
 
Description
Lidar point cloud data collected in 2009 and 2013 over Belize's Chiquibul forest. The 60 uploaded tiles have been normalized and have no ground or topography data.

Data Provider and Roles:
Principal Investigators:Contributors:
PlatformAirborne Lidar
Horiz. CoordinatesWGS 84 / UTM zone 16N [EPSG: 32616]
DOI10.5069/G9833Q42
Data Format AvailablePoint Cloud
Survey Area64.14 km2
Point Density23.91 pts/m2
No. of lidar returns1,533,280,141 pts
2   TEAM lidar data over La Selva, Costa Rica 2009
 
Description
Small-footprint, discrete-return lidar data were collected over the La Selva protected area in Costa Rica in 2009. The data include coverage of the lowest elevation TEAM vegetation plot at the Volcan Barva TEAM site as well as low-biomass secondary forests and plantations. The lidar data were collected and provided to TEAM by Northrop Grumman Corporation, through the Global Climate Monitoring Systems and 3001 remote sensing division.

Data Provider and Roles:
Funders:
  • Northrop Grumman Foundation
Funders:
  • Conservation International
Contributors:
PlatformAirborne Lidar
Horiz. CoordinatesWGS 84 / UTM zone 16N [EPSG: 32616]
Survey Date09/26/2009
DOI10.5069/G9P8491K
Project URLhttp://www.teamnetwork.org/data/lidar
Data Format AvailablePoint Cloud, Raster
Survey Area1,472.68 km2
Point Density0.2 pts/m2
No. of lidar returns301,030,632 pts
Raster Resolution1.0
3   Digital Elevation Model of Dabbahu volcano, Ethiopia (Part 2 of 2)
 
Description
Lidar data were acquired by the UK Natural Environmental Research Councilís Airborne Research and Survey Facility (NERC ARSF) in October 2009. From this data, a DEM of 0.5 m pixel resolution was generated by Barnie et al. (2016); full details of processing are provided in Hofmann (2013). This is Part 2 of the raster DEM covering the southern half of the total area.

Data Provider and Roles:
Contributors:
PlatformAirborne Lidar
Horiz. CoordinatesWGS 84 / UTM zone 37N [EPSG: 32637]
DOI10.5069/G9MG7MK2
Data Format AvailableRaster
Survey Area252.72 km2
Raster Resolution0.5 m
4   Digital Elevation Model of Dabbahu volcano, Ethiopia (Part 1 of 2)
 
Description
Lidar data were acquired by the UK Natural Environmental Research Councilís Airborne Research and Survey Facility (NERC ARSF) in October 2009. From this data, a DEM of 0.5 m pixel resolution was generated by Barnie et al. (2016); full details of processing are provided in Hofmann (2013). This is Part 1 of the raster DEM covering the northern half of the total area.

Data Provider and Roles:
Contributors:
PlatformAirborne Lidar
Horiz. CoordinatesWGS 84 / UTM zone 37N [EPSG: 32637]
DOI10.5069/G9R78C9S
Data Format AvailableRaster
Survey Area265.37 km2
Raster Resolution0.5 m
5   Digital Elevation Model of Chabbi (east side of Corbetti volcano), Ethiopia
 
Description
Lidar data were acquired by the UK Natural Environmental Research Councilís Airborne Research and Survey Facility (NERC ARSF) in November 2012. From this data, a DEM of 2 m resolution was generated using GRASS (Geographic Resources Analysis Support System; http://grass.osgeo.org/) as described in Hutchison et al. (2015).

Data Provider and Roles:
Contributors:
PlatformAirborne Lidar
Horiz. CoordinatesWGS 84 / UTM zone 37N [EPSG: 32637]
DOI10.5069/G90R9MH3
Data Format AvailableRaster
Survey Area126.72 km2
Raster Resolution2 m
6   2012 Santorini LiDAR dataset EU-12-12-137
 
Description
Datasets from a LiDAR survey of the Greek volcanic islands of Nea Kameni and Palea Kameni, Santorini, Greece. Data were collected during a NERC ARSF flight campaign EU-12-12-137.

See the open access paper in GeoResJ by Evi Nomikou et al., (2014) for details; http://dx.doi.org/10.1016/j.grj.2014.02.002

Data were originally published on Figshare:
Pyle, David; Parks, Michelle; Mather, Tamsin; Nomikou, Paraskevi (2014): 2012 Santorini LiDAR data. figshare. Fileset. https://doi.org/10.6084/m9.figshare.1138718.v2


Data Provider and Roles:
Funders:
  • NERC
Collectors:
  • NERC ASRF
Contributors:
PlatformAirborne Lidar
Horiz. CoordinatesUTM zone 35N, WGS84 [EPSG: 32635]
Vertical CoordinatesWGS84 [EPSG: 4326]
Survey Date05/16/2012
DOI10.6084/m9.figshare.1138718.v2
Data Format AvailablePoint Cloud
Survey Area17.1 km2
Point Density2.08 pts/m2
No. of lidar returns35,491,876 pts
1   2016 Norcia Earthquake (Italy), Mt Bove Fault - Pre-earthquake
 
Description

Pre-earthquake terrestrial laser scanning dataset collected on 29th October 2016, 12 hours prior to the 30th October 2016 Mw6.6 Norcia Earthquake (central Italy). The dataset was collected near the town of Frontignano and covers a small portion of the Mt Bove fault that slipped in the both the Norcia Earthquake, and the 26th October 2016 Mw6.1 Visso earthquake.

The post-earthquake dataset is available from OpenTopography at: https://doi.org/10.5069/G9CV4FV2

For more information please refer to Wedmore, L.N.J., Gregory, L.C., McCaffrey, K.J.W., Goodall, H., Walters, R.J. (2019). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Geophysical Research Letters. https://doi.org/10.1029/2018GL080858

This work was funded by NERC Urgency grant: NE/P018858/1



Data Provider and Roles:
Principal Investigators:Collectors:Collectors:Contributors:
PlatformTerrestrial Laser Scanner
Horiz. CoordinatesWGS 84 / UTM zone 33N [EPSG: 32633]
Vertical CoordinatesWGS84 Ellipsoid [EPSG: 7030]
Survey Date10/29/2016
DOI10.5069/G9JQ0Z4H
Data Format AvailablePoint Cloud
Survey Area0.3 km2
Point Density825.78 pts/m2
No. of lidar returns247,756,035 pts
2   2016 Norcia Earthquake (Italy), Mt Bove Fault - Post-earthquake
 
Description

Post-earthquake terrestrial laser scanning dataset collected on 5th October 2016, 6 days after the 30th October 2016 Mw6.6 Norcia Earthquake (central Italy). The dataset was collected near the town of Frontignano and covers a small portion of the Mt Bove fault that slipped in the both the Norcia Earthquake, and the 26th October 2016 Mw6.1 Visso earthquake.

The pre-earthquake dataset is available from OpenTopography at: https://doi.org/10.5069/G9JQ0Z4H

For more information please refer to Wedmore, L.N.J., Gregory, L.C., McCaffrey, K.J.W., Goodall, H., Walters, R.J. (2019). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Geophysical Research Letters. https://doi.org/10.1029/2018GL080858

This work was funded by NERC Urgency grant: NE/P018858/1



Data Provider and Roles:
Principal Investigators:Collectors:Contributors:
PlatformTerrestrial Laser Scanner
Horiz. CoordinatesWGS 84 / UTM zone 33N [EPSG: 32633]
Vertical CoordinatesWGS84 Ellipsoid [EPSG: 7030]
Survey Date11/05/2016
DOI10.5069/G9CV4FV2
Data Format AvailablePoint Cloud
Survey Area0.38 km2
Point Density432.76 pts/m2
No. of lidar returns162,650,169 pts
1   Lake Michigan Bluff Erosion Survey, Sheboygan WI 12/09/2019
 
Description
This dataset is part of a series of repeat surveys documenting temporal changes to a 0.5km extent of unconsolidated coastal bluff on Lake Michigan.

Data Provider and Roles:
Collectors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 16N [EPSG: 32616]
Vertical CoordinatesNAVD 88 [EPSG: 5703]
Survey Date12/09/2018
DOI10.5069/G9RN360X
Data Format AvailablePoint Cloud, Raster, Images
Survey Area0.03 km2
Point Density1,872.75 pts/m2
No. of lidar returns56,784,495 pts
Raster Resolution0.1
2   Sinabung Volcano September 2014: Model 4
 
Description
SfM photogrammetry survey from September 2014. Model 4 from Carr et al., 2018a (see below). Dataset contains ground-based photos from a Nikon DSLR taken on Sept 22 and the resulting SfM point cloud and DEM. Data was used in two publications. For additional details, see: Carr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 ("The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry") Carr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 ("Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)")

Data Provider and Roles:
Contributors:
  • Brett Carr
    Organization: Lamont-Doherty Earth Observatory
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS_1984_UTM_zone_47N [EPSG: 32647]
Survey Date09/22/2014
DOI10.5069/G97S7KWC
Data Format AvailablePoint Cloud, Raster, Images
Survey Area5.36 km2
Point Density0.07 pts/m2
No. of lidar returns386,883 pts
Raster Resolution5.0 meters
3   Sinabung Volcano September 2014: Model 3
 
Description
SfM photogrammetry survey from September 2014. Model 3 from Carr et al., 2018a (see below). Dataset contains ground-based photos from an iPhone5 taken on Sept 22 and the resulting SfM point cloud and DEM. Data was used in two publications. For additional details, see: Carr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 ("The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry") Carr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 ("Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)")

Data Provider and Roles:
Contributors:
  • Brett Carr
    Organization: Lamont-Doherty Earth Observatory
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS_1984_UTM_zone_47N [EPSG: 32647]
Survey Date09/22/2014
DOI10.5069/G9CJ8BM3
Data Format AvailablePoint Cloud, Raster, Images
Survey Area7.62 km2
Point Density0.02 pts/m2
No. of lidar returns188,367 pts
Raster Resolution5.0 meters
4   Sinabung Volcano September 2014: Model 2
 
Description
SfM photogrammetry survey from September 2014. Model 2 from Carr et al., 2018a (see below). Dataset contains ground-based photos from a Nikon DSLR taken on Sept 17 & 18 and the resulting SfM point cloud and DEM. Data was used in two publications. For additional details, see: Carr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 ("The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry") Carr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 ("Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)")

Data Provider and Roles:
Contributors:
  • Brett Carr
    Organization: Lamont-Doherty Earth Observatory
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS_1984_UTM_zone_47N [EPSG: 32647]
Survey Date09/17/2014 - 09/18/2014
DOI10.5069/G9H993BT
Data Format AvailablePoint Cloud, Raster, Images
Survey Area5.09 km2
Point Density0.08 pts/m2
No. of lidar returns425,261 pts
Raster Resolution5.0 meters
5   Sinabung Volcano September 2014: Model 1
 
Description
SfM photogrammetry survey from September 2014. Model 1 from Carr et al., 2018a (see below). Dataset contains ground-based photos from an iPhone5 taken on Sept 17 & 18 and the resulting SfM point cloud and DEM. Data was used in two publications. For additional details, see: Carr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 ("The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry") Carr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 ("Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)")

Data Provider and Roles:
Contributors:
  • Brett Carr
    Organization: Lamont-Doherty Earth Observatory
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS_1984_UTM_zone_47N [EPSG: 32647]
Survey Date09/17/2014 - 09/18/2014
DOI10.5069/G9N29V25
Data Format AvailablePoint Cloud, Raster, Images
Survey Area6.34 km2
Point Density0.02 pts/m2
No. of lidar returns133,865 pts
Raster Resolution5 meters
6   Almaty range front fault, Koram site
 
Description
This dataset was recorded in 2016 with a drone and an attached compact camera. We surveyed parts of the fault scarp of the E-W striking, S-dipping, reverse Almaty range front fault, Kazakhstan, for the purpose of measuring the offset of river terraces for slip-rate determination.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 [EPSG: 4326]
Vertical CoordinatesWGS84 cartographic [EPSG: 4326]
Survey Date06/24/2016
DOI10.5069/G9SX6BB8
Project URLhttp://ewf.nerc.ac.uk/
Data Format AvailablePoint Cloud, Raster
Survey Area0.52 km2
Point Density51.06 pts/m2
No. of lidar returns26,330,610 pts
Raster Resolution0.132 m/pixel
7   Almaty range front fault, Rahat site
 
Description
This dataset was recorded with a compact camera mounted on a drone. We surveyed parts of the Almaty range front fault near the town of Rahat in order to measure the offset of fluvial terraces.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 [EPSG: 4326]
Vertical CoordinatesWGS84 cartographic [EPSG: 4326]
Survey Date06/26/2016
DOI10.5069/G9TX3CGN
Project URLhttp://ewf.nerc.ac.uk/
Data Format AvailablePoint Cloud, Raster
Survey Area0.71 km2
Point Density188.01 pts/m2
No. of lidar returns133,302,144 pts
Raster Resolution0.0665 m/pixel
8   Almaty range front fault, Akterek site 1
 
Description
The data were collected with a compact camera mounted on a drone. We surveyed parts of fault scarp in order to measure the offset of river terraces and alluvial fans. Overall aim of the project was to understand the active tectonics of the Almaty range front.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 [EPSG: 4326]
Vertical CoordinatesWGS84 cartographic [EPSG: 4326]
Survey Date06/28/2016
DOI10.5069/G9ZK5DSN
Project URLhttp://ewf.nerc.ac.uk/
Data Format AvailablePoint Cloud, Raster
Survey Area0.81 km2
Point Density125.97 pts/m2
No. of lidar returns101,734,241 pts
Raster Resolution0.0831 m/pixel
9   Almaty range front fault, Akterek site 2
 
Description
We used a compact camera mounted on a drone to survey the fault scarp of the E-W striking, S-dipping, reverse Almaty range front fault, Kazakhstan. At this site we measured the offset of river terraces and alluvial fans to evaluate the Lat Quaternary activity of the fault. The overall aim of the project was to better understand the active tectonics of the Zailisky Range and to reveal the traces of active faulting in the landscape.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 [EPSG: 4326]
Vertical CoordinatesWGS84 cartographic [EPSG: 4326]
Survey Date06/29/2016
DOI10.5069/G93B5X7H
Project URLhttp://ewf.nerc.ac.uk/
Data Format AvailablePoint Cloud, Raster
Survey Area0.77 km2
Point Density35.73 pts/m2
No. of lidar returns27,632,232 pts
Raster Resolution0.168 m/pixel
10   Pleasant Valley Fault Scarp, Tobin Range, Nevada
 
Description
Point cloud flown during TLS survey of fault segment.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 [EPSG: 4326]
Vertical CoordinatesEllipsoid Height
Survey Date10/17/2018
DOI10.5069/G9ZS2TM9
Data Format AvailablePoint Cloud
Survey Area1.27 km2
Point Density37.78 pts/m2
No. of lidar returns47,986,112 pts
11   Mirror Fault, Dixie Valley, Nevada
 
Description
Small area structure from motion (SFM) survey of the Mirror Fault surface, Dixie Valley, Nevada.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 [EPSG: 4326]
DOI10.5069/G9GQ6VVB
Data Format AvailablePoint Cloud
Point Density86,592.65 pts/m2
No. of lidar returns25,785,442 pts
12   Digital Elevation Model of Urji (west side of Corbetti volcano), Ethiopia
 
Description
The raster DEM was generated from a point cloud, also uploaded to available from OpenTopography. This point cloud was generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 37N [EPSG: 32637]
Survey Date02/21/2017
DOI10.5069/G9W0941H
Data Format AvailablePoint Cloud, Raster
Survey Area214.17 km2
Point Density0.35 pts/m2
No. of lidar returns75,341,328 pts
Raster Resolution0.5 m
13   Digital Elevation Model of Gedemsa volcano, Ethiopia
 
Description
The point cloud and raster DEM were generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 37N [EPSG: 32637]
Survey Date03/23/2014
DOI10.5069/G94J0C6X
Data Format AvailablePoint Cloud, Raster
Survey Area184.55 km2
Point Density0.64 pts/m2
No. of lidar returns119,016,088 pts
Raster Resolution0.5 m
14   Digital Elevation Model of Fentale volcano, Ethiopia
 
Description
The point cloud and raster DEM were generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 37N [EPSG: 32637]
Survey Date05/22/2014
DOI10.5069/G9862DKT
Data Format AvailablePoint Cloud, Raster
Survey Area178.52 km2
Point Density0.72 pts/m2
No. of lidar returns128,077,944 pts
Raster Resolution0.5 m
15   Clear Creek, Idaho post-fire debris flow erosion
 
Description
This dataset was collected to quantify post-fire debris flow erosion. An unnamed 0.95 km^2 catchment produced a debris flow in October 2016 following the Pioneer Fire in Idaho. We surveyed the deposit, main channel, and tributary channels in June 2017 at cm-resolution using drone-based Structure from Motion. Here, we provide the original images, raw point cloud, and derived rasters. We also provide metadata and RTK-GPS survey results.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 11N [EPSG: 32611]
Survey Date06/20/2017 - 06/30/2017
DOI10.5069/G9V69GPX
Data Format AvailablePoint Cloud, Raster, Images
Survey Area0.13 km2
Point Density973.66 pts/m2
No. of lidar returns121,858,072 pts
Raster Resolution5 cm
16   2018 Faraglione, Vulcano Island, Sicily, Italy (simple demo)
 
Description
These data were collected over the Faraglione--a rock outcropping in the Vulcano Town area, Vulcano Island, Sicily, Italy. They were produced as part of a general investigation of the island and in support of a Risk Course from the University of Geneva lead by Professor Costanza Bonnadonna. The Faragalione is a set of tilted and deformed volcanic rocks. Collected with a DJI Phantom 4 Pro by Ramon Arrowsmith in coordination with Dr. Fabio Pisciotta of the INGV. Alessandro Gattuso (INGV) assisted in ground control and planning.

Data Provider and Roles:
Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 33N [EPSG: 32633]
Vertical CoordinatesEllipsoidal from DGPS georeferencing
Survey Date05/07/2018 - 05/12/2018
DOI10.5069/G9WD3XPD
Project URLhttps://www.unige.ch/sciences/terre/CERG-C/
Data Format AvailablePoint Cloud, Raster, Images
Survey Area0.07 km2
Point Density252.07 pts/m2
No. of lidar returns17,314,196 pts
Raster Resolution0.06 m
17   Photogrammetric model of a portion of the Lee Adoyta Basin, Afar, Ethiopia
 
Description
These data were collected in the Lee Adoyta basin of Ledi Geraru Research Project, Lower Awash Valley, Afar, Ethiopia. They were produced in support of paleontological research. The area comprises gently tilted 2.7 million year old rocks faulted against 3 million year old basalts. The area was described by DiMaggio, E. N., Campisano, C. J., Rowan, J., Dupont-Nivet, G., Deino, A. L., Bibi, F., Lewis, M. E., Souron, A., Garello, D., Werdelin, L., Reed, K., E., Arrowsmith, J R., Late Pliocene Fossiliferous Sedimentary Record and the Environmental Context of early Homo from Afar, Ethiopia, Science, VOL 347 ISSUE 6228, 10.1126/science.aaa1415, 2015. Collected with a DJI Mavic Air by Ramon Arrowsmith in coordination with Erin DiMaggio. Dominique Garello and Brian Villmoare assisted in ground control and planning.

Data Provider and Roles:
Collectors:Collectors:Contributors:
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 37N [EPSG: 32637]
Vertical CoordinatesEllipsoidal from DGPS georeferencing
Survey Date02/20/2018 - 02/24/2018
DOI10.5069/G95X271W
Project URLhttp://paleocore.org/projects/lgrp/
Data Format AvailablePoint Cloud, Raster, Images
Survey Area0.1 km2
Point Density1,275.85 pts/m2
No. of lidar returns122,479,973 pts
Raster Resolution0.02 m
18   Washington Street site, Banning strand, southern San Andreas Fault, CA
 
Description
Washington Street site data was generated using Structure from Motion (SfM; not a laser scanning method). The site is located ~20 km due east of Palm Springs and covers a short section of the southern Banning strand of the San Andreas Fault that cuts through an alluvial fan and has not ruptured historically. The site serves as a test site for using SfM in paleoseismic studies.

Data Provider and Roles:
Principal Investigators:Collectors:
  • U.S. Geological Survey
Contributors:
  • Kendra L Johnson
    Organization: Colorado School of Mines and Arizona State University
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 11N [EPSG: 32611]
Vertical CoordinatesWGS84 Ellipsoid [EPSG: 7030]
Survey Date02/02/2013
DOI10.5069/G9GF0RKG
Data Format AvailablePoint Cloud, Raster, Images
Survey Area0.08 km2
Point Density748.47 pts/m2
No. of lidar returns58,141,492 pts
Raster Resolution0.03 m
19   Galway Lake Road, Emerson Fault, CA
 
Description
Galway Lake Road site data was generated using Structure from Motion (SfM; not a laser scanning method). The site, located ~45 km north of Yucca Valley, covers a segment of the Emerson Fault ruptured by the 1992 Mw 7.3 Landers earthquake, and tests the feasibility of SfM as part of the immediate scientific response following an earthquake.

Data Provider and Roles:
Principal Investigators:Collectors:
  • U.S. Geological Survey
Contributors:
  • Kendra L Johnson
    Organization: Colorado School of Mines and Arizona State University
PlatformStructure from Motion / Photogrammetry
Horiz. CoordinatesWGS 84 / UTM zone 11N [EPSG: 32611]
Vertical CoordinatesWGS84 Ellipsoid [EPSG: 7030]
Survey Date10/26/2012
DOI10.5069/G9BP00WK
Data Format AvailablePoint Cloud, Raster, Images
Survey Area0.07 km2
Point Density659.11 pts/m2
No. of lidar returns46,242,539 pts
Raster Resolution0.02 m