AndreaBozzo/ceres-open-data-index huggingface dataset:
Granite Dells Terrestrial Laser Scanning Dataset

Precariously balanced rocks (PBRs) are pedestal rocks that are used as negative indicators for earthquake-generated strong ground motions to physically validate seismic hazard analyses. To help understand the geologic and geomorphic settings in which PBRs form, terrestrial laser scanning was used to scan a small population of PBRs that are preserved on hillslopes adjacent to a small stream channel.

Organization: OpenTopography
Granite Dells, AZ

These data were acquired by the National Center for Airborne Laser Mapping (NCALM) on behalf of David E. Haddad (Arizona State University) as part of a Seed Grant awarded to him in 2009. David's MS research project, &quot;Geologic and Geomorphic Characterization of Precariously Balanced Rocks&quot; used these data and TLS datasets to understand the geologic and geomorphic settings in which precariously balanced rocks form in low-seismicity regions. He has kindly agreed to make these data available to the research community and the public through OpenTopography.

Organization: OpenTopography
1959 Hebgen Lake rupture (Montana)

This dataset was collected as an NCALM Seed grant for PI Kendra Johnson of Colorado School of Mines. The survey area consists of a corridor polygon located 20 km northwest of West Yellowstone, MT.  The dataset was collected to study degradation of the 1959 Hebgen Lake rupture and the application of diffusion coefficients to undated scarps in the north Rocky Mountains and Mongolia.

Organization: OpenTopography
St. Elis Mountains and Gulf of Alaska

PI: Terry Pavlis, University of New Orleans. The survey area consists of two polygons along the Gulf of Alaska. The western polygon was partially flown on September 2, 2005 (2 flights) and completed on September 8, 2005 (2 flights). This area is located approximately 56 miles southeast of Cordova, Alaska. The eastern polygon over the Sullivan Anticline is located about 140 miles southeast of Cordova, AK. The Sullivan Anticline was surveyed with 5 flights over a period of 8 days from September 3, 2005 through September 10, 2005. Low clouds and a substantial amount of rain precluded the completion of this polygon, but all lines except four were flown. Please note that the Sullivan polygon (eastern) ONLY contains ground points.

Organization: OpenTopography
Global Multi-Resolution Topography (GMRT) Data Synthesis

The Global Multi-Resolution Topography (GMRT) synthesis is a multi-resolutional compilation of edited multibeam sonar data collected by scientists and institutions worldwide, that is reviewed, processed and gridded by the MGDS Team and merged into a single continuously updated compilation of global elevation data. The synthesis began in 1992 as the Ridge Multibeam Synthesis (RMBS), was expanded to include multibeam bathymetry data from the Southern Ocean, and now includes bathymetry from throughout the global and coastal oceans. GMRT is included in the ocean basemap in Google Earth (since June 2011) and the GEBCO 2014 compilation.  Data is accessed through the GMRT GridServer Web Service. OpenTopography provides a user interface for using the web service and enables users to utilize OpenTopography processing tools, such as visualization and advanced hydrologic terrain analysis (TauDEM).

Organization: OpenTopography
ALOS World 3D - 30m Ellipsoidal

Note: This version of the ALOS World 3D dataset is provided in a WGS84 ellipsoidal vertical datum. This is a non-standard version of the AW3D30 dataset that is often used for InSAR analysis. This dataset was converted from the orthometric version using the EGM96 geoid model available here. For additional conversion details feel free to contact us.   The ALOS Global Digital Surface Model (AW3D30) is a global dataset generated from images collected using the Panchromatic Remote-sensing  Instrument for Stereo Mapping (PRISM) aboard the Advanced Land Observing Satellite (ALOS) from 2006 to 2011. As described by the Japan Aerospace Exploration Agency: The Japan Aerospace Exploration Agency (JAXA) releases the global digital surface model (DSM) dataset with a horizontal resolution of approx. 30-meter mesh (1 arcsec) free of charge. The dataset has been compiled with images acquired by the Advanced Land Observing Satellite "DAICHI" (ALOS). The dataset is published based on the DSM dataset (5-meter mesh version) of the "World 3D Topographic Data", which is the most precise global-scale elevation data at this time, and its elevation precision is also at a world-leading level as a 30-meter mesh version. This dataset is expected to be useful for scientific research, education, as well as the private service sector that uses geospatial information.    Version: May 2016: Global terrestrial region (within approx. 82 deg. of N/S latitudes) of Version 1 released (approx. 22,100 tiles)  Note: JAXA provides two versions of AW3D30 created from the original 5-meter mesh using different downsampling methods: average (provided here) and median (not available from OpenTopography).

Organization: OpenTopography
Abel Tasman and Golden Bay, Tasman, New Zealand 2016

Lidar was captured for Tasman District Council by AAM New Zealand in Dec 2016.  The original dataset was generated by AAM New Zealand and their subcontractors. The survey area includes coastal areas from Onekaka in the North, to Riwaka in the South. Data management and distribution is by Land Information New Zealand (LINZ).    Prepared DEM and DSM files are available through the LINZ Data Service  Abel Tasman and Golden Bay Digital Elevation Model     Abel Tasman and Golden Bay Digital Surface Model

Organization: OpenTopography
Richmond and Motueka, Tasman, New Zealand 2015

Lidar was captured for Tasman District Council by AAM New Zealand in Nov 2015.  The dataset was generated by AAM New Zealand and their subcontractors. The survey area includes coastal areas from Motueka in the North to Richmond in the South, including inland Wakefield. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  Richmond and Motueka Digital Elevation Model     Richmond and Motueka Digital Surface Model

Organization: OpenTopography
Bedrock cliffs in the San Gabriel and San Jacinto Mountains, California

Dataset includes (1) .las point clouds of steep, bare-bedrock cliffs derived from structure-from-motion photogrammetry. (2) Scaled orthophotos extracted approximately normal to a prominent cliff face within the structure-from-motion model.  Individual point cloud extents are approximately 10  300 m across. Structure-from-motion models were rendered in AgiSoft Photoscan.  Structure-from-motion models where aligned and georeferenced to aerial lidar point clouds using iterative-closest-point alignment tool in CloudCompare.  Datasets are not classified and include vegetation. Data collection occurred in summers (May-August) of 2016-2019.

Datasets are complimentary to submitted manuscript to JGR earth surface:

Neely, A.B., and DiBiase, R.A., in review. Drainage area, bedrock fracture spacing, and weathering controls on landscape-scale patterns in surface sediment grain size, Journal of Geophysical Research, Earth Surface, doi:10.1002/essoar.10502617.1

Supplementary files in complimentary manuscript contain shapefile outlines of cliff regions where bedrock fracture spacing was measured and table including bedrock cliff name and measured bedrock fracture spacing.  

See Neely et al., (2019) for more details on procedure used to align SfM dense cloud and lidar point clouds:

Alexander B. Neely, Roman A. DiBiase, Lee B. Corbett, Paul R. Bierman, Marc W. Caffee,
Bedrock fracture density controls on hillslope erodibility in steep, rocky landscapes with patchy soil cover, southern California, USA, Earth and Planetary Science Letters, Volume 522, 2019, Pages 186-197, ISSN 0012-821X, https://doi.org/10.1016/j.epsl.2019.06.011.

Organization: OpenTopography
EarthScope Southern & Eastern California Lidar Project

The EarthScope Southern & Eastern California Lidar Project acquired high resolution lidar topography data along major active faults as part of the EarthScope Facility project. EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. EarthScope is managed at UNAVCO.Please use the following language to acknowledge EarthScope Lidar:This material is based on services provided to the Plate Boundary Observatory by NCALM (http://www.ncalm.org). PBO is operated by UNAVCO for EarthScope (http://www.earthscope.org) and supported by the National Science Foundation (No. EAR-0350028 and EAR-0732947).

Organization: OpenTopography
Greys River, WY (532 nm)

This dataset was collected as an NCALM Seed grant for PI Christopher Tennant of Idaho State University.  The survey consists of two corridor polygons on the Greys River between Alpine, and Afton, Wyoming. The collection enables an evaluation of whether changes in hydraulic geometry at process domain boundaries are stepwise or gradational within a mountainous catchment.This survey was performed with an Optech Titan multispectral airborne LiDAR sensor mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N640WA).

Organization: OpenTopography
Topographic Data Set: Klamath River, California 2018

This 2018 Klamath River data set was a multi-agency collaboration to collect pre-dam removal topography and imagery across the rivers 260 mile corridor. Airborne topo-bathymetric LiDAR, boat based multi-beam sonar, and aerial imagery was collected from the mouth at estuary to the head waters near Klamath Lake in Oregon. This comprehensive baseline data set will help inform the scientific and restoration community to more thoroughly understand the effects of dam removal, quantitatively measure sediment transport evolution, and to help monitor the biological and physical response of a new free flowing Klamath River.

Organization: OpenTopography
Mount Shasta, CA: Quaternary Debris Avalanche

NCALM Seed. PI: Riccardo Tortini, Michigan Technological University. The survey area consisted of a polygon located 115 km North of Redding, California. These data were collected to investigate the largest quaternary debris avalanche deposit off of the Mount Shasta Volcano in Northern California. These data were collected August 5, 2013.

Organization: OpenTopography
Canyon Lake Gorge, TX: Mechanics of Megaflood Erosion

NCALM Seed Project. PI: Joel Scheingross, Caltech. The survey area consists of a rectangular polygon located at the Canyon Lake Gorge, Canyon Lake, TX. The area of interest totals 8 square kilometers. The data were collected to study the mechanics of megaflood erosion at Canyon Lake Gorge.

Organization: OpenTopography
Mapleton, OR: Transient Landscape Evolution in the Oregon Coast Range

NCALM Seed. PI: Kristen Sweeney, University of Oregon. The survey area is a polygon located 60 Km West of Eugene, Oregon. The polygon encloses approximately 42 square km. The data were collected to investigate the morphological and soil chemistry signatures of transient landscape evolution in the Oregon Coast Range. The survey took place on August 03 and August 04, 2013.

Organization: OpenTopography
Gabilan Mesa, CA: Valley Alluviation effects on Hillslope-Channel Coupling

NCALM Seed. PI: Sam Johnstone, Stanford University. The requested survey area is an irregular polygon located 10 km east of King City, California in the Wildhorse Valley of the Gabilan Mesa. The data were collected to investigate the impacts of valley alluviation on hillslope-channel coupling. The polygon at its widest point is approximately 13 km long by 5 km high and encloses approximately 75 square km. The survey took place on August 11, 2013.

Organization: OpenTopography
Triangle Lake, OR: Earthquake Induced Landslide

NCALM Seed. PI: Corina Cerovski-Darriau, University of Oregon. The survey consists of two separate polygons located 38 km west of Eugene Oregon in the Oregon Coast Range. Together the polygons enclose approximately 40 square km. The data were collected to investigate a possible fault triggered landslide in the densely forested Oregon Coast Range. The survey took place on August 02, 2013.

Organization: OpenTopography
Missisquoi Watershed Lidar

Lidar data for the United States portion of the Missisquoi Watershed in Northern Vermont.  Data were collected during leaf-off conditions in 2008 and in 2009 while no snow was on the ground and rivers were at or below normal levels.  The Lidar data were acquired at a nominal post spacing of 1.4 meters.  Points were classified as ground (LAS class 2) using a combination of automated and manual techniques.  The data were acquired by Photoscience and subsequently reviewed by the USGS and The University of Vermont.  The data are made available on OpenTopography through a grant from AmericaView.

Organization: OpenTopography
John Day Watershed 2006 - US Bureau of Reclamation

These Lidar data were collected on October 5-7, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation and Oregon Trout in collaboration with the Malheur National Forest. The survey areas cover the floodplains of Desolation Creek from the mouth to Bruin Creek, the Middle Fork John Day River from just upstream of Big Creek to Summit Creek, and the John Day River from Prairie City to just above Dans Creek. The study areas total ~9,149 acres. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.

Organization: OpenTopography
Motueka River Valley, Tasman, New Zealand 2018

Lidar was captured for Tasman District Council by Aerial Surveys between 15 November 2018 to 13 February 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes the Motueka River Valley, Bettys Beach and Eves Valley. Data management and distribution is by Land Information New Zealand.

Organization: OpenTopography
Balclutha, Otago, New Zealand 2020

Lidar was captured for Otago Regional Council by Landpro between 16 to 18 January 2020. The dataset was generated by Landpro. The survey area includes Balclutha, Kaitangata and Kaka Point, as well as the surrounding Clutha Delta area. Data management and distribution is by Land Information New Zealand.

Organization: OpenTopography
Kremmling, CO: Blue and Colorado River Confluence

PI: Dr. Craig Glennie, University of Houston. NSF Project. The survey area is located over the confluence of Blue and Colorado rivers  south of Kremmling, Colorado.  Data were collected to test the Aquarius bathymetry laser since the confluence creates a variety of conditions with clear and muddy waters mixing from the two rivers. The Aquarius was tested for bathymetric performance with respect to water turbidity within the rivers. The data on OpenTopography are from the Gemini instrument. Bathymetric point cloud data (LAZ) from the Optech Aquarius sensor are available via the "bulk download" link below.

Organization: OpenTopography
Rio Puerco River, NM: Study of overbank flood dynamics

NCALM Seed Project. PI: Mariela Perignon, University of Colorado. The areas of interest are defined by three rectangular polygons with areas of 11.336, 13.281, and 16.052 km2. The polygons follow a segment of the Rio Puerco river and are located approximately 45 km southwest of Albuquerque, NM and 25 km west of Las Lunas, NM. The data were collected to study overbank flood dynamics.Related datasets, including earlier airborne lidar, are available via the USGS at https://doi.org/10.5066/F72N50CM.

Organization: OpenTopography
Canterbury, New Zealand 2018

Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys New Zealand in March 2018 through to May 2019. The dataset was generated by Aerial Surveys New Zealand and their subcontractors. The survey area includes Amuri Plain, Ashburton, Fairlie Foothills, Pegasus, Motunau, Selwyn North, Selwyn South and Waimate. Data management and distribution is by Land Information New Zealand.

Organization: OpenTopography
Northern California Coast: Slope Failure in Low and High Uplift Regions

NCALM Seed. PI: Seul Gi Moon, Stanford University. The survey area consisted of two separate polygons shown with red outlines below in Figure 1. The North polygon is located approximately 35 km West of Garberville, California and the South polygon is located approximately 42 km South of Garberville, California. The total area for the 2 polygons is approximately 47 km2.  The survey took place on July 05, 2012.

Organization: OpenTopography
Photogrammetric point cloud of La Rouviere fault, France

Point cloud extracted from 2007 stereo aerial imagery (IGN) covers the area of La Rouviere fault, near Montelimar, SE France. La Rouviere fault, an old tectonic feature with an approximate strike of NE-SW, was re-activated and ruptured during the November 11 2019 Mw 4.9 shallow earthquake. First results from SAR Interferometry and field surveys confirm surface ruptures that follow La Rouviere fault trace as mapped in BRGM geological maps. Processed with open-source MicMac photogrammetry software.

Organization: OpenTopography
PG&E Diablo Canyon Power Plant (DCPP): San Simeon, CA Central Coast

The Diablo Canyon Power Plant (DCPP) Lidar and Imagery datasets are comprised of three separate Lidar surveys: Diablo Canyon (2010), Los Osos (2011), and San Simeon (2013).    The DCPP San Simeon project study area is located primarily in San Luis Obispo County, California, encompasses approximately 195,000 acres (801 km2), and measures 75 miles in length.  Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data and orthophotography across the DCPP San Simeon survey area from 29 January 2013 to 25 February 2013. For optimal capture of the intertidal zone, WSI acquired Lidar data of the coastline during seasonal low tides between 7 February 2013 and 10 February 2013.    The lidar survey utilized a Leica ALS70 sensor in a Cessna Caravan, and an Optech Orion sensor in a Bell Long Ranger. The Leica system was used for acquisition of the inland portion of the study area. It was set to acquire 240,000 laser pulses per second (i.e., 240 kHz pulse rate) and flown at 1,100 meters above ground level (AGL), capturing a scan angle of &#177;15&#176; from nadir. The Orion system was used to acquire the intertidal portion of the study area. It was set to acquire 175,000 laser pulses per second and flown at 300 meters AGL, capturing a scan angle of &#177;13&#176; from nadir. Both laser systems were programmed to yield an average native pulse density of  &#8805;8 pulses per square meter over terrestrial surfaces.    Digital orthophotos were collected using a 260 megapixel ultra large format digital aerial camera. Image radiometric values were calibrated to specific gain and exposure settings associated with each capture using Microsoft's UltraMap software suite. The calibrated images were saved in TIFF format for input to subsequent processes. Photo position and orientation were calculated by linking the time of image capture, the corresponding aircraft position and attitude, and the smoothed best estimate of trajectory (SBET) data in POSPAC. Within the Inpho software suite, automated aerial triangulation was performed to tie images together and to align with ground control. The orthophotos were delivered in 0.375 USGS tiles with a 3'' pixel resolution.   This survey was flown in conjunction with the DCPP Senior Seismic Hazard Analysis Committee (SSHAC) Level 3 process and as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial Lidar data, DEM and orthophotography raster data are available for this area: San Simeon DEMs and Orthophotos.

Organization: OpenTopography
Clearwater NF, ID: Effects of Watershed Restoration on Hillslope Stability

NCALM Seed Project PI: Rebecca Lloyd, University of Arizona. The survey area is two experimental watersheds, Shotgun Creek and Twin Creek located in the Clearwater National Forest of Northern Idaho. These areas are roughly 70 km southwest of Missoula, MT. The survey polygon for Shotgun Creek is approximately 15.8 square kilometers and for Twin Creek is 26.34 square kilometers. The data were collected to study the effects of watershed restoration on hillslope stability and ecohydrological functions.

Organization: OpenTopography
Tushar Mountains, Utah (1550 nm)

This dataset was collected as an NCALM Seed grant for PI Keelin Schaffrath of Utah State University. The requested survey area consists of corridor polygons centered on 3 streams draining the Tushar Mountains of southwest Utah located 35 km northeast of Beaver, UT. The dataset was collected to quantify post-wildfire fish habitat quality.This survey was performed with an Optech Titan multispectral airborne LiDAR sensor  mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N640WA).

Organization: OpenTopography
Auckland, New Zealand 2013

Lidar was captured for Auckland Council by NZ Aerial Mapping & Aerial Surveys Limited. The capture of the data commenced on 17th July and was completed by the 23 November 2013. The datasets were generated by both ASL and NZAM. All raw point cloud data was produced by NZAM & ASL prior to data being sent to Genesys International for the data classification and product generation. The survey area includes the Auckland city urban area and adjacent rural land. Data management and distribution external to Auckland Council is managed by Land Information New Zealand.  Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3405-auckland-lidar-1m-dem-2013/ https://data.linz.govt.nz/layer/3406-auckland-lidar-1m-dsm-2013/

Organization: OpenTopography
Flathead Lake Biological Station, MT (September 2005)

NCALM Project. PI: Mark Lorang, The University of Montana- Missoula. The survey area is an 90 square kilometer box located 40 km northeast of Kalispell, Montana This area was flown on September 14, 2005 and completed on September 15, 2005. Lidar data from the Nyack Floodplain on the Middle Fork of the Flathead River was collected for several purposes. The first was to provide a base image from which we could place a network of groundwater wells. The data was also used combination with optical remotes sensing data, both airborne and satellite, to identify pixels within multispectral optical imagery that corresponded to various vegetation height elevations. Those pixels were then separately classified by vegetation type. Data was also used to conduct simple flood inundation modeling of the floodplain and in combination with measures of flow depth and velocity extracting water surface elevation from the lidar to map the spatial distribution of stream power. This area has a repeat survey from May 2005: Flathead Lake Biological Station, MT (May 2005).

Organization: OpenTopography
Walker Fault System, Nevada, 2015

PI: Steven G. Wesnousky, University of Nevada, Reno The requested survey area consisted of 1-km wide swaths centered along 335 km of fault centerlines. There were a total of 44 fault segments for 12 fault lines, totaling a nominal 335 km2 of map area. The faults are spread throughout an area of 15,600 km 2 of central western Nevada east of Lake Tahoe. The faults' names and 4 letter identifiers used for the data products are: Antelope Valley (AntV), Benton (Bent), Benton North (BntN), Bridgeport (Brdg), Carson Linement (CarL), Little Valley (LitV), Mason (Masn), Petrified Springs (PetS), Smith Valley (SmtV), Wassuks (Wass), Wabuska (Wbsk), Olinghouse Opton (OlOp).

Organization: OpenTopography