AndreaBozzo/ceres-open-data-index huggingface dataset:
Survey of Ozaukee South Beach Bluff, Wisconsin, May 2018

High lake levels are reducing beach area along the Lake Michigan coastline and
allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years.
Sediment budget calculations have shown that bluff erosion is the dominant source of sand and
gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers
have found that the leading cause of bluff erosion is shallow to intermediate depth translational
landslides. Therefore, estimating lake sediment budgets depends on an understanding of the
mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of
bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff
composition to determine the composition of sediment contributions of coastal bluffs to the
southeast Lake Michigan sediment budget.

Organization: OpenTopography
New Madrid Seismic Zone

The New Madrid Seismic Zone (NMSZ) has been responsible for producing some of the largest intraplate earthquakes on record (Tuttle et al., 2002). Paleoseismologic studies of sand blows and the Reelfoot fault show that earthquakes occurred in the last 4000 years at intervals of approximately 400-600 years (Kelson et al., 1995; Tuttle et al., 2002; Holbrook et al., 2006). The 1811-1812 NMSZ sequence produced three major earthquakes (M 7-8) followed by several large aftershocks and hundreds of smaller ones, resulting in a felt area that reached the east coast of the United States and caused destruction of several settlements along the Mississippi River due to liquefaction and strong shaking (Nuttli 1973, Johnston and Schweig, 1996). The risk of another large destructive earthquake in this region is of great concern to the USGS and local and federal authorities because several large metropolitan areas (Memphis, Little Rock, Nashville, St. Louis), and hundreds of smaller communities lie in or near the NMSZ.The mechanism for occurrence of earthquakes in the NMSZ is widely debated. Studies reveal the NMSZ is underlain by a failed rifting event, dating from late Precambrian. During the failed rifting event, emplacement of mafic plutons throughout the crustal column took place. Further studies show a correlation between the rift and current seismic activity. This correlation suggests that the source of the earthquakes was from slippage along weak zones within the failed rift caused by the E-W compressive stress of the region, a result of plate motion. Seismic monitoring shows that there is a spatial correlation of the active seismic zone with the failed Reelfoot Rift.

Organization: OpenTopography
Idaho Lidar Consortium (ILC): Emerald Creek

The lidar survey was conducted by vendor Spectrum Mapping LCC, a Lidar company. Lidar instrument Datis II sensor was flown over the period of 10 and 12 July 2004. The data were delivered in ASCII format (files separated by vegetation points and ground points) with information on X, Y, elevation, Return number, RGB and scan angle. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 13234 hectares in Emerald Creek, St. Joe National Forest, Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.

Organization: OpenTopography
West Rainier Seismic Zone, WA

This page offers access to lidar data of the western Rainier seismic zone, adjacent to Mt. Rainier, in Pierce County, WA. This dataset covers approximately 325 square kilometers and includes approximately a billion data points. Point density is approximately 2 points per square meter. For more information on these data please see this abstract. These data were acquired by NASA, in collaboration with the United States Geologic Survey and the Puget Sound Lidar Consortium, with funding provided by NASA's Earth Surface and Interior Focus Area. The data was collected and processed by Terrapoint. The data are in the public domain with no restrictions on their use.

Organization: OpenTopography
State of Utah Acquired Lidar Data - Wasatch Front

The State of Utah, including the Utah Automated Geographic Reference Center, Utah Geological Survey, and the Utah Division of Emergency Management, along with local and federal partners, including Salt Lake County and local cities, the Federal Emergency Management Agency, the U.S. Geological Survey, and the U.S. Environmental Protection Agency, have funded and collected over 8380 km2 (3236 mi2) of high-resolution (0.5 or 1 meter) Lidar data across the state since 2011, in support of a diverse set of flood mapping, geologic, transportation, infrastructure, solar energy, and vegetation projects. The datasets include point cloud, first return digital surface model (DSM), and bare-earth digital terrain/elevation model (DEM) data, along with appropriate metadata (XML, project tile indexes, and area completion reports).  This 0.5-meter 2013-2014 Wasatch Front dataset includes most of the Salt Lake and Utah Valleys (Utah), and the Wasatch (Utah and Idaho), and West Valley fault zones (Utah).  Other recently acquired State of Utah data include the 2011 Utah Geological Survey Lidar dataset covering Cedar and Parowan Valleys, the east shore/wetlands of Great Salt Lake, the Hurricane fault zone, the west half of Ogden Valley, North Ogden, and part of the Wasatch Plateau in Utah. 

Organization: OpenTopography
World Bank - ImageCat Inc. - RIT Haiti Earthquake Lidar dataset

These lidar data were collected between January 21st and January 27th, 2010, in response to the January 12th magnitude 7.0 Haiti earthquake. The data collection was performed by the Center for Imaging Science at Rochester Institute of Technology (RIT) and Kucera International under sub-contract to ImageCat, Inc., and funded by the Global Facility for Disaster Recovery and Recovery (GFDRR) hosted at the World Bank. All data are available in the public domain. More information about these data can be found at the RIT Information Products Laboratory for Emergency Response (IPLER) 2010 Haiti Earthquake page.

Organization: OpenTopography
Rapid Response to 2011 Mississippi Flood

NCALM Project. PI: Praveen Kumar, University of Illinois. The survey area consisted of a polygon located near the confluence of Ohio and Mississippi rivers, about 35 km east of Sikeston in the southeastern edge of the state of Missouri. These data were collected as a rapid response to a flooding event on the Mississippi River. The data were collected June 21-23, 2011.

Organization: OpenTopography
Surprise Valley, CA

The survey covers much of the Surprise Valley, primarily two swaths along the western and eastern sides of the valley. Surprise Valley is a seismically active geothermal area in the northwestern Basin and Range. Data were collected to create a high-resolution topographic base for correlation with an airborne magnetic survey (Glen), as well as to map and assess offset along Quaternary fault scarps (Egger). The survey took place in June of 2012. The DEM derived from the data has a resolution of 1 point per 0.5 m2. PIs: Jonathan Glen (USGS), Anne Egger (Central Washington University), Corey Ippolito (Carnegie Mellon University).

Organization: OpenTopography
PG&E Diablo Canyon Power Plant (DCPP): Los Osos, 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 Los Osos project study area is located in San Luis Obispo County, California, and encompasses approximately 170,000 acres (674.59 square kilometers). Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data across the project area from 17 March 2011 to 31 March 2011.      The lidar survey utilized a Leica ALS60 sensor in a Cessna Caravan. The Leica system was set to acquire 105,900 laser pulses per second (i.e., 105.9 kHz pulse rate) and flown at 900 meters above ground level (AGL), capturing a scan angle of &#177;14&#176 from nadir when clouds and terrain permitted. With these flight parameters, the laser swath width is 449m and the laser pulse footprint is 21cm. These settings yield an average native pulse density of &#8805;8 pulses per square meter over terrestrial surfaces.  This survey was flown as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial Lidar data, DEM raster data are available for this area: Los Osos  DEMs.

Organization: OpenTopography
PG&E Diablo Canyon Power Plant (DCPP): Diablo Canyon, 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 Diablo Canyon project study is located in San Luis Obispo County, California, and encompasses approximately 10,634 acres (43.03 square kilometers). Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data on both the inland and intertidal land within the Diablo Canyon study area on 28 January 2010. For optimal capture of the intertidal zone, WSI acquired Lidar data of the coastline during seasonal low tides (between 0.0 ft and peak low of ~ -1.5 ft) and in conjunction with a PDOP value of less than 3.0.    This Lidar survey utilized a Leica ALS50 Phase II laser system. The sensor scan angle was &#177;13&#176; from nadir with a pulse rate designed to yield an average native density of &#8805;8 pulses per square meter over terrestrial surfaces. The area of interest was surveyed with an opposing flight line side-lap of &#8805;50% (&#8805;100% overlap) to reduce laser shadowing and increase surface laser painting.   This survey was flown 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: Diablo Canyon DEMs and Orthophotos.

Organization: OpenTopography
West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River (2010)

NCALM Project. PI: John Gartner, Dartmouth College. The survey area covers a 45 square kilometers along the Ashelot River, south of Keene and crossing West Swanzey, New Hampshire. Data were collected to quantify the geomorphic and sedimentological responses to dam removal. Repeat survey from 2011: West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River (2011)

Organization: OpenTopography
Straight Cliffs Formation, South-Central Utah, 2016

NCALM Seed.   PI: Alex Koch, University of Utah The requested survey area consisted of two polygons located east of Bryce, UT. The polygons enclose approximately 39 km2 (15 mi2). The survey will support a study on coupling of a high resolution base DEM and ultra-high resolution terrestrial DOMs to inform correlation of fluvial strata in the Straight Cliffs Formation, South-Central, Utah.

Organization: OpenTopography
Pellston, MI: Effects of Forest Canopy Structural Change on Carbon Uptake

NCALM Seed Project. PI: Brady Hardiman, Ohio State University. The survey area is an irregular polygon enclosing a portion of the University of Michigan Biological Station (UMBS) located at the northern tip of the Lower Peninsula of Michigan, on the southwest shore of Douglas Lake. The survey polygon is approximately 40 square kilometers in size. The polygon at its widest region in the east west direction is 8.27 km, and 6.27 km at its longest North to South direction region. The data were collected to study the effects of forest canopy structural change on carbon uptake and storage.

Organization: OpenTopography
Blenheim, Marlborough, New Zealand 2014

Lidar was captured for Marlborough District Council by New Zealand Aerial Mapping (NZAM) in Feb and May 2014.  The original datasets were generated by NZAM and their subcontractors. The reprocessing to NZVD2016 was done by AAM New Zealand.  The survey area includes Blenheim, the Wairau valley region and the lower Awatere river corridor. Data management and distribution is by Land Information New Zealand (LINZ).   Prepared DEM and DSM files are available through the LINZ Data Service  Blenheim Digital Elevation Model     Blenheim Digital Surface Model

Organization: OpenTopography
Golden Bay, Tasman, New Zealand 2017

Lidar was captured for Tasman District Council by AAM New Zealand in November and December 2017.  The original datasets were generated by AAM New Zealand and their subcontractors. The survey area includes Golden Bay - Aorere Extension, Farewell Spit, Lee Dam, and St Arnaud. Data management and distribution is by Land Information New Zealand (LINZ).    Prepared DEM and DSM files are available through the LINZ Data Service  Golden Bay Digital Elevation Model     Golden Bay Digital Surface Model

Organization: OpenTopography
Poudre River at Sheep Draw SfM Greeley, CO June 2020

In spring 2020, the world was hit by a pandemic that spread globally by March, causing universities and most of the world to move to remote means. Summer field camps, long hailed as a rite of passage in the geosciences, were cancelled throughout the US. The community moved quickly, with NAGT developing remote learning tools and arranging for sharing and collaboration between instructors and institutions. As such, UNAVCO (GETSI) and University of Northern Colorado embarked on a data collection campaign for a summer field course entitled Geoscience Field Issues Using High-Resolution Topography to Understand Earth Surface Processes  originally slated for in-person teaching. The team collected GNSS data, drone imagery for use in structure from motion, and terrestrial laser scanning from a site near Greeley, Colorado on the Poudre River. In an assignment, students conduct a Structure from Motion (SfM) survey of the Sheep Draw field site. The end product is a point cloud used in additional assignments to conduct analyses. This is the instructor-derived SfM point cloud.

Organization: OpenTopography
2013 Balochistan earthquake, Pakistan

This point cloud datatset covers a 5 km wide swath along an approximately 240 km long section of the 2013 Balochistan earthquake rupture in Pakistan. Point cloud data produced from 13 stereo data sets of 0.5 m resolution, panchromatic Pleiades images acquired by Airbus (funded by NERC, UK). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7.     For further details see: Zhou, Y., J. R. Elliott, B. Parsons, and R. T. Walker (2015), The 2013 Balochistan earthquake: An extraordinary or completely ordinary event?, Geophysical Research Letters, 43(7), 3134-3142, doi:10.1002/2015GL065096

Organization: OpenTopography
Grand Junction, CO: Roan Plateau

NCALM Seed: PIs: Maureen Mason Berlin and Dylan Ward, University of Colorado, Boulder. The survey areas consist of two polygons covering portions of the Roan Plateau, Colorado. One polygon has an area of 72 square kilometers and is north of Grand Junction, CO. The other polygon is located north of Parachute, CO and has an area of 61 square kilometers.

Organization: OpenTopography
EarthScope Intermountain Seismic Belt Lidar Project

The EarthScope Intermountain Seismic Belt Lidar project acquired high resolution lidar topography data in tectonically active regions in Utah and Wyoming, including Yellowstone and Teton National Parks, as part of the EarthScope Facility project funded by the National Science Foundation (NSF).  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
USBR Upper Columbia River Basin West

These lidar data were collected on October 12 to November 9, 2006  by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation. The survey areas cover eastern portions of the the Methow River and Wenatchee River in Washington State. The study areas total ~360 square kilometers. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.

Organization: OpenTopography
Hawaii Kauai Survey

NCALM. PI: Taylor Perron, Massachusetts Institute of Technology (MIT). The collection area totals 200 square kilometers over portions of the Alakai Wilderness Preserve, Halelea Forest Reserve, and the Hanalei National Wildlife Refuge. The dataset covers most of the Waniha and Hanalei watersheds and the headwaters of the Olokeke watershed. The Field campaign lasted for 4 days starting on 29th June, 2009, and ending on 2nd July, 2009.  Flying took place on all the four days totaling 15 hrs of flying time and 3 hours 45 minutes of laser on time.

Organization: OpenTopography
Painted Canyon, Southern San Andreas Fault

The Painted Canyon site is located in the Mecca Hills adjacent to the Southern San Andreas Fault. The site records plate-boundary transpression in a set of folds and faults. We imaged a fold along a canyon wall in Painted Canyon. We collected this dataset to be part of an undergraduate or graduate-level structural geology remote field class exercise. In this exercise, students measure and analyze the fold using the point cloud, CloudCompare (http://cloudcompare.org), and Stereonet (http://www.geo.cornell.edu/geology/faculty/RWA/programs/stereonet.html). The students put their measurements in terms of the kinematics of the San Andreas Fault.

Organization: OpenTopography
Canterbury, New Zealand 2016

Lidar was captured for Environment Canterbury Regional Council by AAM New Zealand in Nov 2016 through to Jan 2017. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area includes Ashburton, Lower Rangitata, Darfield, Hakataramea, Methven, Moeraki, Omarama, Otematata, Rakaia, Rolleston, Tekapo, Waimate. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service:  Canterbury, New Zealand Digital Elevation Model Canterbury, New Zealand Digital Surface Model 

Organization: OpenTopography
Hope Fault, NZ 2010

The lidar was collected by NZ Aerial Mapping in November 2010, in the framework of the French ANR proposal CENTURISK (ANR-09-RISK-003/CENTURISK) led by Isabelle Manighetti (then at ISTerre, now at Geoazur), under survey name Eastern Hope LiDAR, and includes approximately 40 km of the Hope fault on the South Island of New Zealand, approximately 25 km west of Kaikoura. The polygon encloses an area of approximately 41 km2. The lidar data were acquired to conduct geomorphic and paleoseismological studies of the Hope fault. Note: This dataset was converted to LAS from XYZ (ASCII) points and lacks many typical lidar attributes.  Some of the results can be found in: Beaupretre, S., Garambois, S., Manighetti, I., Malavieille, J., Senechal, G., Chatton, M., Davies, T., Larroque, C., Rousset, D., Cotte, N., and Romano, C., 2012. Finding the buried record of past earthquakes with GPR-based paleoseismology : a case study on the Hope fault, New Zealand, Geophysical Journal International, vol. 189, no.1, pp. 73-100. https://doi.org/10.1111/j.1365-246X.2012.05366.x   Manighetti, I., Perrin, C., Dominguez, S., Garambois, S., Gaudemer, Y., Malavieille, J., Matteo, L., Delor, E., Vitard, C. and Beaupretre, S., 2015. Recovering paleoearthquake slip record in a highly dynamic alluvial and tectonic region (Hope fault, New Zealand) from airborne LiDAR. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1002/2014JB011787  Stewart, N., Gaudemer, Y., Manighetti, I., Serreau, L., Vincendeau, A., Dominguez, S., Matteo, L., and Malavieille, J., 2018. "3D_Fault_Offsets," a Matlab Code to Automatically Measure Lateral and Vertical Fault Offsets in Topographic Data: Application to San Andreas, Owens Valley, and Hope Faults. Journal of Geophysical Research: Solid Earth, 123(1), 815-835. https://doi.org/10.1002/2017JB014863

Organization: OpenTopography
Wellington Fault, NZ 2010

Lidar was collected for GNS Science by NZ Aerial Mapping in September 2010, under survey name Tararua LiDAR, and includes approximately 8 km of the Wellington Fault on the North Island, approximately 82 km northeast of Wellington. The polygon encloses an area of approximately 9 km2. The dataset was generated by NZ Aerial Mapping (NZAM) and their subcontractors and processed into various digital map data products. Note: This dataset was converted to LAS from XYZ (ASCII) points and lacks typical lidar attibutes.

Organization: OpenTopography
Lake Isabella Lidar Collection, CA 2015

Airborne LiDAR data was acquired by CRREL on 21 August 2015 over Lake Isabella and the Lake Isabella Dam, California as part of a coincident regional study. These data were collected using an airborne laser scanning (ALS) system comprised of a Riegl Q680i full-waveform LiDAR sensor, an Applanix POS AV INS system, and custom designed hardware and aircraft integration components. The system was installed in a Partenavia P.68, with an average collection AGL of 2,600' and airspeed of 90 knots. A total of 19-flight-lines were collected during a single flight, with 50% overlap of laser swath coverage, given a 60 deg across track field-of-view.

Organization: OpenTopography
Austin, TX, Rapid Response, 2015

PI: Dr. Paola Passalacqua, University of Texas, Austin The requested survey area consisted of a polygon located over downtown Austin, TX, and the surrounding area. The polygon encloses approximately 157 km2 (60.5 mi2).  The survey took place on June 12-13, 2015 (DOY 163 & 164) following flooding in Central Texas in late May, 2015.

Organization: OpenTopography
Garopaba Dune Field, Santa Catarina State, Brazil. TLS point cloud

Digital Surface Model (DSM) of the Garopaba Dune Field (Siriú dunes), Santa Catarina State, southern Brazil. The objective of the survey is to generate a high-resolution DSM of the dunes and compare it with a SfM-MVS DEM (http://dx.doi.org/10.5069/G9DV1H19)  and with Airborne LiDAR data collected in 2010 (https://doi.org/10.5069/G9DN430Z, dataset OT.032013.32722.1), to evaluate dune migration and sand volume change. Data were collected by a team from University of São Paulo (USP) composed of: Grohmann, C.H., Garcia, G.P.B., Affonso, A.A., Albuquerque, R.W., within the scope of research grant FAPESP #2016/06628-0 "Application of high-resolution digital elevation models in geology and geomorphology" (PI: Carlos H. Grohmann, IEE-USP). 

Organization: OpenTopography