AndreaBozzo/ceres-open-data-index huggingface dataset:
East Helanshan Fault, northern China

This dataset contains a 100 km long section of the East Helanshan Fault on the western side of the Yinchuan Graben in northern China. This fault was the site of the devastating 1739 Yinchuan earthquake. Surface fault scarps are visible in the point cloud for much of the fault length. The point cloud data were constructed via photogrammetric methods from data acquired by Airbus Defence and Space (Pleiades 1A) and funded by the Natural Environment Research Council (NERC), UK. For further details see: Middleton, T. A., R. T. Walker, B. Parsons, Q. Lei, Y. Zhou, and Z. Ren (2016), A major, intraplate, normal-faulting earthquake: The 1739 Yinchuan event in northern China, J. Geophys. Res. Solid Earth, 121, 293-320, doi: 10.1002/2015JB012355.

Organization: OpenTopography
Stanley, ID: Linkages Between Hydrologic Complexity and Nutrient Export

NCALM Seed. PI: Timothy Covino, John Mallard, Keli Goodman, David Epstein, Montana State University.  The survey area consists of a 52.7 square kilometer polygon, located 27 kilometers west of Stanley, Idaho. The lidar data were collected in the Sawtooth National Forest to study the linkages between hydrologic network complexity and nutrient export.

Organization: OpenTopography
SfM data of the Kongur normal fault (Qimugan site), Pamir, China, Aug. 2018

This dataset covers the terraces at the outlet of the Qimugan river (E 74.592°, N 39.089°), located in the Muji basin in Pamir, northwestern China. These terraces are offset by vertical motion along the frontal Kongur normal fault dipping west. We collected 4676 images (5472 × 3648 pixels) covering a ~1.9 km2 of the research area using a consumer UAV DJI Phantom Professional V2.0. The Structure from Motion (SfM) point clouds was produced by using the commercial Photoscan Pro software (Photoscan). The SfM point cloud density was ~195 points/m2 which could yield a ~7.16 cm resolution DEM. In this project, the Surfer software was utilized to build the 0.2 m resolution DEM from the dense point cloud. This project was funded by the China National Science Foundation (Grant Numbers: 41802229 and 41772221). The primary motivation for the acquisition of the data set was a study of young fluvial terrace riser degradation.
Before taking aerial photographs, 13 ground control points (GCPs) were distributed throughout the study area for georeferencing purposes. Then, 11 GCPs were implemented in the processing, removing the other two GCPs (marker 4 and 6) with big errors). The survey of the markers was completed using a Trimble Geo 7X GNSS system that involves two units: fixed reference station and roving receiver. Each target center was recorded at least 15 times by the roving receiver with a 5 cm receiving accuracy. Then, precise positions of these markers were obtained by GPS post-processing software of Trimble Company. All points were acquired in WGS84/ UTM zone 43N. 

Organization: OpenTopography
Victor Harbour - South Australia, 2011

The Victor Harbour Lidar Project was capture during September 2011 by Photomapping Services using an airborne Optech Gemini Lidar system. The data was captured in order to provide surface, vegetation and intensity information to be used in coastal management. The final LAS dataset has been processed to Level 2 of the ICSM Lidar Specification. Several derivative products have then been produced from the orthometric corrected laser surface.

Organization: OpenTopography
Bald Point, FL: Hurricane Frequency and Storm Surge Archives from Sinkholes

NCALM Seed. PI: Phillip Lane, Massachusetts Institute of Technology. The survey area consists of a 44.75 square kilometer area covering a portion of Bald Point State Park, Florida. The data were collected to examine a 4,500-year record of hurricane frequency and storm surge magnitude archived in North Florida Sinkholes. Data collection occurred on September 4, 2010.

Organization: OpenTopography
Erosion and sedimentation within the Kern River Canyon, CA

This lidar dataset was collected for William Krugh at California State University, Bakersfield as part of the Center for Climate and Natural Resource Solutions for Water-limited Regions project.  This project is part of NSF's  Center for Research Excellence in Science and Technology (CREST) program.  Roughly 252 km2 of data were collected over the Kern River Canyon east of Bakersfield, CA.

Organization: OpenTopography
Agua Blanca Fault, Baja California, Mexico.

This airborne lidar dataset covers a 68 x 1.5 km corridor along the northwest-trending central-western sections of the Agua Blanca Fault (ABF) in northern Baja California, Mexico. The ABF accommodates right-lateral Pacific-North American plate boundary deformation across the Peninsular Ranges of Baja California between the western escarpment of the Gulf of California and the Pacific coast. The data were collected by the National Center for Airborne Laser Mapping (NCALM); collection was jointly financed by Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin (UTA) and  the Earth Sciences Division of the Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE). Project PIs were Jose Romo, John Fletcher and Alejandro Hinojosa of CICESE and Whitney Behr and Peter Gold of UT Austin.

Organization: OpenTopography
Very High Resolution Airborne Lidar at Strathalbyn in Queensland, Australia

An area of severe erosion on the Strathalbyn property near the Burdekin River in North Queensland was captured by ARA - Airborne Research Australia on 5 Sep 2017 using a Riegl Q680i-S Lidar (1064nm) mounted on one of ARA's research motorgliders. The aim was to test what the highest achievable resolution of such airborne lidar would be by flying several overlapping grids with narrow linespacing (50m and 100m) at 250m AGL. Achieved point densities are between 100 and 200 points per sqm. 8cm pixel size aerial RGB imagery is also available from ARA.The data consist of two sites (Site 1 and Site 2) which are 0.767sqkm and 2.297sqkm in size, respectively.The project is a collaboration between the Australian NESP (National Environmental Science Program) Project 3.1.7 "Gully rehabilitation" (http://nesptropical.edu.au/index.php/round-3-projects/project-3-1-7/) and ARA who also jointly funded the data capture and processing.It is important to understand that due to the nature of the terrain and the much higher point densities achieved, standard point classification will not yield the desired results in a perfect manner. Research on this data set is ongoing at the two partner organizations. Third party users of this data set are encouraged to contact the project team via jorg.hacker@airborneresearch.org.au.

Organization: OpenTopography
2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model V2

This dataset includes a suite of pre-seismic, 2-meter resolution optical digital surface models (DSMs) pre-dating the July 2019 Ridgecrest earthquakes. The DSMs were constructed using DigitalGlobe base imagery (©DigitalGlobe 2019) and the open source SETSM software package . DSMs are vertically and horizontally registered to a separate pre-event optical DSM that was registered to ICESat-1 data. The base imagery includes 0.5m and 0.3m panchromatic in-track stereo imagery acquired from the WorldView-2 and WorldView-3 satellites. The generation of this data sets was funded in part by SCEC in cooperation with the U.S. Geological Survey.    The naming description of individual DSMs is as follows:     sensor_date _id1_id2_dem_2m-DEM.tif   where sensor is the sensor from which imagery was acquired (WV02-WorldView2, WV03-WorldView3), date is the acquisition dates in format YYMMMDD (i.e., 13AUG11), and id1 and id2 are the image identifier numbers provided by DigitalGlobe.   NOTE:This dataset covers a different spatial extent, and uses different base imagery than the similar dataset,  2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model.

Organization: OpenTopography
2019 Ridgecrest, CA Post-Earthquake Digital Surface Model

This dataset includes a suite of post-seismic, 2-meter resolution optical digital surface models (DSMs) post-dating the July 2019 Ridgecrest earthquakes. The DSMs were constructed using DigitalGlobe base imagery (©DigitalGlobe 2019) and the open source SETSM software package . DSMs are vertically and horizontally registered to a separate pre-event optical DSM that was registered to ICESat-1 data. The base imagery includes 0.5m and 0.3m panchromatic in-track stereo imagery acquired from the WorldView-2 and WorldView-3 satellites. The generation of this data sets was funded in part by SCEC in cooperation with the U.S. Geological Survey.     The naming description of individual DSMs is as follows:     sensor_date _id1_id2_dem_2m-DEM.tif   where sensor is the sensor from which imagery was acquired (WV02-WorldView2, WV03-WorldView3), date is the acquisition dates in format YYMMMDD (i.e., 13AUG11), and id1 and id2 are the image identifier numbers provided by DigitalGlobe.

Organization: OpenTopography
Niobrara River, Nebraska (532 nm)

This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. This dataset was collected as an NCALM Seed grant for PI Jason Alexandra, University of Wyoming. This survey was performed with 2 different LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM which is a hybrid laser mapping system as it collects simultaneous land and shallow water-depth measurements. It operates in the green spectrum, thus enabling it to penetrate water. These LiDAR mapping systems along with an Optech 12-bit full waveform digitizer were mounted consecutively in a twin-engine Piper PA- 31-350 Navajo Chieftain (Tail Number N154WW).

Organization: OpenTopography
Rockwalls, Lauterbrunnen Valley, Bernese Oberland, Switzerland, April 2012

This dataset contains 3D point clouds (raw data) from TLS measurement of valley walls and talus deposits beneath them in the Lauterbrunnen Valley, Switzerland. The point clouds of valley walls were collected as part of an ongoing monitoring study of the valley walls since 2012. The data files included here are those that have been used for talus volume calculations which were used for calculating the long-term (~11 ka) wall retreat rate (Mohadjer et al., in review ).

Organization: OpenTopography
West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River(2011)

NCALM Seed. 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.

Organization: OpenTopography
Post-fire Debris Flows in Santa Monica Mountains, CA 2019

This lidar dataset was collected as part of an NCALM Seed grant for Kirk Townsend at the University of Michigan. This study examines the role of extreme events in setting the pace and magnitude of landscape change with post-fire debris flows in the Santa Monica Mountains of Southern California. The study area covers approximately 60 km 2 near Zuma Creek, California.

Organization: OpenTopography
Christina River Basin Critical Zone Observatory April 2010 Lidar Survey

High-resolution Lidar data (average first-return point density of 10 points m2 and 2-4 cm vertical accuracy) were obtained by NCALM for 121 km2 of the Christina River Basin Critical Zone Observatory (CRB-CZO) during both leaf-off (April 2010) and leaf-on (July 2010; see dataset CRB-10-Jul) periods. Data acquisition, ground-truthing, vegetation surveys and processing were funded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo) to collect similar data at all six CZOs for a variety of cross-site analyses, including calibration of algorithms to extract vegetation characteristics from the LIDAR point cloud data. The CRB-CZO is particularly interested in using this LIDAR dataset for high-resolution analyses of stream channel and floodplain geomorphology.

Organization: OpenTopography
Quaternary Surface Ruptures along Panamint Valley Fault, CA, April-May 2018

The digital surface models, generated from sUAS-derived images and SfM methods, show fault scarps and offset channels at six sites along the oblique-slip and strike-slip segments of the Panamint Valley Fault.  The fault cuts Late Quaternary alluvial deposits. These data were collected as part of a masters thesis. The study aims to reconstruct the displacement and rupture length of the most recent earthquake, and understand the kinematics of the geometrically complex Panamint Valley Fault.

Organization: OpenTopography
Survey of Sheepscot, Narragaugus and Pleasant Rivers, Maine

NCALM Project. Noah Snyder, Boston College. The survey areas are three irregular polygons containing the watersheds of three rivers in Maine: the Sheepscot, Narragaugus, and Pleasant. These areas were flown in thirteen survey flights beginning on October 31, 2007 and were completed on November 11, 2007. Data were collected to investigate land use, geologic and climatic controls on stream processes in northern New England.

Organization: OpenTopography
Fault systems in the Eastern California Shear Zone, CA

These data were acquired by the National Center for Airborne Laser Mapping on behalf of Dr. Mike Oskin (UC Davis) and Dr. Lesley Perg (University of Minnesota) as part of their National Science Foundation funded-project (No. EAR-0337263): Testing tectonic geodesy from fault slip rates across the eastern California shear zone. They have kindly agreed to make these data available to the research community through OpenTopography.

Organization: OpenTopography
Merritt Island, FL: Identification of Florida Scrub-Jay Habitat

NCALM Seed. PI: James Angelo, University of Central Florida. The survey area consists of a 58.88 square kilometer polygon located 8 kilometers West of Cape Canaveral, Florida. The data were collected June 17, 2008 for the purpose of identifying optimal habitat for the Florida Scrub-Jay (Aphelocoma coerulescens).

Organization: OpenTopography
Nantahala NF, NC: Forest Leaf Structure, Terrain and Hydrophysiology

NCALM Seed. PI: Katherine Windfeldt, University of Minnesota- Twin Cities. The survey area consists of a 64.95 square kilometer polygon, located 15 kilometers south of Franklin, NC. This survey was flown as a part of Seed Money Survey Campaign that took place in Aug-Sept 2009. This section was surveyed on Aug 26, 2009 and was flown out of Macon County airport in Franklin, North Carolina. The data were collected to use lidar data to estimate forest leaf structure, terrain and hydrophysiology in a portion of the Natahala National Forest.

Organization: OpenTopography
NEON D17 Pacific Southwest- California

NEON field sites surveyed: San Joaquin Experiment Range (SJER), Soaproot Saddle (SOAP), Providence Creek (PROV), and Teakettle (TEAK)  Geographic Characteristics: The primary objectives of the 2013 combined airborne and field campaign were to test flight operations and nominal flight collection parameters and obtain a dataset supporting spatial/temporal scaling studies underway as part of NASA's HyspIRI Airborne Campaign. AOP surveyed three NEON terrestrial sites and one aquatic site located in central California, extending over a large elevation/climate gradient from the southern foothills to the mixed conifer forest zone of the Sierra Nevada. These sites cover diverse ecological sub-regions ranging from open woodland dominated by oaks and foothill pine at the San Joaquin Experiment Range core site (SJER), mixed conifer/deciduous forest at the Soaproot Saddle relocatable site (SOAP) and Providence Creek aquatic site (PROV), and red fir forest at the Teakettle relocatable site (TEAK). Supporting ground measurements of field spectral data, vegetation structure data, and foliar samples were made in a subset of sites and in conjunction with the airborne observations. For full details about this campaign, read NEON Technical Memo TM-005. - See more at: Neon Inc. The NEON Level 1 Slant Range Waveform LiDAR data product, NEON.DOM.SITE.DP1.30001, provides a geolocated waveform for each laser pulse in a binary output format. Waveform data is available for the San Joaquin Experiment Range (SJER), Soaproot Saddle (SOAP), and Teakettle (TEAK) field sites via the following links: SJER SOAP TEAK NEON_Data_Delivery_Letter.pdf NEON_AOP_Waveform_product_description_June2015.docx

Organization: OpenTopography
2015-2017 State of Utah Lidar Acquisition

The 2015-2017 State of Utah Lidar Acquisition project includes portions of Bear Lake in Utah and Idaho, the Bear River, Cache Valley, Utah FORGE Project, Great Salt Lake, Minidoka National Wildlife Refuge (Idaho), Monroe Mountain, Utah Lake, Washington County, Washakie, Weber Valley, and the Whites Valley areas in Utah and the Colorado and Green River corridors in Utah.  Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.4.

Organization: OpenTopography
Snake River, Wyoming

In 2008, Sanborn was contracted by Teton Conservation District to execute a LiDAR (Light Detection and Ranging) survey campaign in Teton County, Wyoming. LiDAR data in the form of 3-dimensional positions of a dense set of mass points was collected for the 141 square miles of area within the Snake River and Teton Ranges and Bridger-Teton National Forest.  This data was used in the development of the bare-earth-classified elevation point data sets.  This project was designed to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping, and hydraulic monitoring.

Organization: OpenTopography
2006 INEGI Sierra Cucupah Empirically Corrected Lidar Dataset

These airborne lidar data were gathered by the Instituto Nacional de Estadistica y Geografia of Mexico as part of a regional mapping activity in northwestern Mexico. They span the area that ruptured in the April 2010 M7.2 El Mayor Cucupah earthquake which was laser scanned and for which data are available in OpenTopography's holdings. Alejandro Hinojosa of CICESE is the contact person for these data. This version of the data has been empirically corrected by Craig Glennie and colleagues at the University of Houston. Details for the data corrections as follows:   Rather than trying to correct the whole dataset, we just concentrated on the portion that overlaps with the post-event data. Here is a brief summary of what we did: (1) Pre-Event Data was given in  ITRF 1992 (1988.0 epoch) and post-event NCALM data was processed in ITRF2000 (Epoch 2010.627).  NGS software package HTDP was used to compute a coordinate shift between these two reference frames (-0.900 m East, 0.429 m North, 0.004 m Up). To correct the 2006 data to the same datum as the NCALM data, we added the vector (-0.900,0.429,0.004) to all of the pre-event data points.    (2) Original dataset contained all scan data out to +/- 28 degree scan angle.  There are significant problems at the outer edge of the scan, so all scan lines were cropped to +/-24 degrees.  This results in minimal overlap between scan lines, but doesn't create any data gaps between flight lines.   (3)Dataset was then re-boresighted.  We determined a roll and pitch offset for each flight line individually, plus a global mirror scale factor. (4) Finally, we determined an individual delta "z" correction for each flightline. Note that for all of the above adjustments, none of the post-earthquake data was used.  We purposely sequestered the two datasets so as not to inadvertently remove differences caused  by the earthquake. To give an idea of the magnitude of the improvement, on the pre-event dataset (as delivered to me) in the overlap, we were seeing average elevation differences of 95 cm (1 sigma).  After cropping the data to 24 degrees, the average elevation differences were 70 cm (1 sigma) After steps (3) and (4) above, the average elevation differences were reduced to 52 cm (1 sigma).  So overall, it appears we were able to reduce the vertical errors by almost a factor of two.

Organization: OpenTopography
Survey of Kewaunee (Site1) Bluff, Wisconsin, July 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
Oregon Department of Geology and Mineral Industries Lidar Program Data

DOGAMI has been supervising and coordinating the collection of large swaths of high resolution, high accuracy lidar data in Oregon and adjacent states since 2006. Following a successful 2500 mi2 consortium effort in the Portland urban area, the Oregon legislature designated DOGAMI as the lead agency for lidar acquisition in Oregon. DOGAMI used a nationwide selection process that resulted in a state price agreement (OPA 8865) with Watershed Sciences Inc. of Corvallis, Oregon. The price agreement specifies data collection (8 pulse/m2, Zerror 2, has taken final delivery of 16,000 mi2 of data. Funding for these projects has come from consortia organized by DOGAMI that include several dozen Federal, State and local government agencies, non-profits and public utilities. The data quality for all projects that DOGAMI has completed under OPA 8865 has been consistently excellent, substantially exceeding the minimum specifications. All DOGAMI lidar data is in the public domain, please reference DOGAMI as the data source. All DOGAMI lidar program data are systematically evaluated for: Completeness and useability by loading all files; swath to swath consistency by using TerraMatch to compare elevations of millions of coincident points from adjacent swaths, all values to date < 5cm; absolute vertical accuracy by comparing delivered DEMs to an large independent set of RTK GPS control points collected by DOGAMI, all values to date < 7cm RMSE; grid artifacts by visual examination of hillshade and slopeshade images of all bare earth and highest hit DEMs.

Organization: OpenTopography
TEAM lidar data over La Selva, Costa Rica 2009

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.

Organization: OpenTopography
2012 Santorini, Greece LiDAR dataset EU-12-12-137

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


Organization: OpenTopography