AndreaBozzo/ceres-open-data-index huggingface dataset:
High Resolution Topography of West Helanshan Fault, Northern China 2018

This dataset comprises a 2-m-resolution digital elevation model (DEM) (WorldView3-DEM.tif) and 0.5-m-resolution orthophotograph (WorldView3-DOM.png) of the West Helanshan Fault (Northern China) which is a Holocene active right-lateral strike-slip fault located at the junction of the Tibetan Plateau, Alashan, and Ordos blocks. The dataset covers a 6 km wide swath along an approximately 50 km long section of the fault (the dataset extent can be found in West_Helanshan_Fault.kmz). The DEM was built from the WorldView-3 panchromatic stereo images acquired on 5 July 2018 based on the photogrammetry method, and the orthophotograph was created based on the generated DEM. Two local areas along the fault are heavily obscured by clouds in the WorldView-3 images. Thus, we used a small four-rotor Unmanned Aerial Vehicle (UAV), the Motoarsky MS670, to acquire images of the two areas on 27 September 2018. Based on the Structure-from-Motion (SfM) method, we finally obtained DEM with a spatial resolution of 0.1 m (UAV-DEM1.tif and UAV-DEM2.tif) and orthophotograph with a spatial resolution of 0.03 m (UAV-DOM1.png and UAV-DOM2.png) for the two local areas. More details of this dataset can be found in Bi, H., Zheng, W., Lei, Q., Zhang, P., Zeng, J., & Chen, G. (2020). Surface slip distribution along the West Helanshan Fault, Northern China and its implications for fault behavior. Journal of Geophysical Research: Solid Earth, doi: 10.1029/2020JB019983. (https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020JB019983).

Organization: OpenTopography
B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar

This data set is derived from the  original 2005 B4 lidar dataset collected over the southern San Andreas and San Jacinto fault zones in southern California, USA. These data have provided a fundamental resource for study of active faulting in southern California since they were released in 2005. However, these data were not classified in a manner that allowed for easy differentiation between bare ground surfaces and the objects and vegetation above that surface. This reprocessed (classified) dataset allows researchers easy and direct access to a "bare-earth" digital elevation data set as gridded half-meter resolution rasters (elevation and shaded relief), "full-feature" digital elevation models as gridded one-meter resolution rasters (elevation and shaded relief) and as classified (according to ASPRS standards) point clouds in binary .laz format, and a spatial index in shapefile and Google Earth KML format. The reprocessing  of the 2005 B4 dataset was performed by Dr. Stephen B DeLong, USGS Earthquake Hazards Program, as a service to the community. The data available here were originally published on the USGS  ScienceBase website as Classified point cloud and gridded elevation data from the 2005 B4 Lidar Project, southern California, USA.  Original B4 project description: The B4 Lidar Project collected lidar point cloud data of the southern San Andreas and San Jacinto Faults in southern California. Data acquisition and processing were performed by the National Center for Airborne Laser Mapping (NCALM) in partnership with the USGS and Ohio State University through funding from the EAR Geophysics program at the National Science Foundation (NSF). Optech International contributed the ALTM3100 laser scanner system. UNAVCO and SCIGN assisted in GPS ground control and continuous high rate GPS data acquisition. A group of volunteers from USGS, UCSD, UCLA, Caltech and private industry, as well as gracious landowners along the fault zones, also made the project possible. If you utilize the B4 data for talks, posters or publications, we ask that you acknowledge the B4 project. The B4 logo can be downloaded here. More information about the B4 Project. 

Organization: OpenTopography
Slip transfer through the Eastern Transverse Ranges, CA 2017

This dataset, located within Joshua Tree National Park, CA, was collected as an NCALM Seed grant for Katherine Anna Guns, University of Arizona, Geosciences Department to support an investigation of possible slip rates on the Southern San Andreas Fault through the Eastern Transverse Ranges. The requested survey area is located approximately 31 km east of Palm Springs, CA. The polygon encloses approximately 64 km2. Note: A considerable percentage of the points in this dataset were classified as "building" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution through OpenTopography, these points have been grouped with "unclassified" (LAS class 1) points to reduce point cloud classification to either "ground" or "unclassified" below.

Organization: OpenTopography
Topographic stress controls, San Bernardino Mountains, CA 2017

This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jessica Lin, University of California, Los Angeles, Earth, Planetary, and Space Sciences Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 11 km north of San Bernardino, CA. The polygon encloses approximately 62 km2. Note: A considerable percentage of the points in this dataset were classified as "building" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution though OpenTopography, these points have been grouped with "unclassified" (LAS class 1) points to reduce point cloud classification to either "ground" or "unclassified" below.

Organization: OpenTopography
Fault geometry on the Mission Creek-Mill Creek faults, CA 2017

This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jesse Waco, San Jose State University, Geology Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 25 km northwest of Palm Springs, CA. The polygon encloses approximately 64 km2. Note: A considerable percentage of the points in this dataset were classified as "building" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution through OpenTopography, these points have been grouped with "unclassified" (LAS class 1) points to reduce point cloud classification to either "ground" or "unclassified" below.

Organization: OpenTopography
Central U.S. ARRA Lidar, New Madrid Seismic Zone

This dataset is intended for researchers interested in active tectonics and earthquake hazards research in the New Madrid Seismic Zone. The target areas were developed and defined by USGS scientists in collaboration with colleagues working in this region. The target areas are: the Blytheville Arch, the Meeman-Shelby lineament, the Reelfoot scarp and the northern New Madrid area. The data collection and processing were purchased by the U.S. Geological Survey using funds provided via the American Recovery and Reinvestment Act of 2009 (ARRA).

Organization: OpenTopography
Hurunui Rivers, Canterbury, New Zealand 2013

Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in May 2013.  The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Hanmer Springs,  Hanmer Plain, Waiau, Waiau River, Hurunui River, Pahau River, and Culverden. Data management and distribution is by Land Information New Zealand.      Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3582-canterbury-hurunui-rivers-lidar-1m-dem-2013/     https://data.linz.govt.nz/layer/3580-canterbury-hurunui-rivers-lidar-1m-dsm-2013/

Organization: OpenTopography
Wellington, New Zealand 2013

Lidar of the entire Wellington region, captured for Greater Wellington Regional Council by Aerial Surveys in 2013. Further processing including automated classification and conversion to NZVD2016 was done by Landcare Research. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3621-wellington-lidar-1m-dem-2013/     https://data.linz.govt.nz/layer/3592-wellington-lidar-1m-dsm-2013/

Organization: OpenTopography
2016 Norcia Earthquake (Italy), Mt Bove Fault - Post-earthquake

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

Organization: OpenTopography
Illinois River, OR, Coast Ranges, 2016

NCALM Seed.   PI: Wesley von Dassow, Oregon State University  The requested survey area consisted of  three polygons located west of Grants Pass, OR. The polygons enclose approximately 40 km2 (15 mi2). The survey will support a study on quantifying differential incision and rock uplift along the Illinois River, OR, Coast Ranges.

Organization: OpenTopography
Landers Surface Rupture Terrestrial Laser Scanning Dataset

Tectonic geomorphic markers such as fault scarps of recent and historic earthquakes form the basis for paleoseismic studies that aim to understand the spatiotemporal distribution of earthquakes, their magnitudes, and recurrences. This terrestrial laser scanning dataset was acquired to survey a section of the 1992 Landers earthquake fault scarp. For more details, visit: http://lidar.asu.edu/KnowledgeBase/Landers_TLS/Landers_TLS_analysis.html

Organization: OpenTopography
2013 Baluchistan, Pakistan Post-Earthquake Stereogrammetric DEMs

This dataset includes a suite of post-seismic 2m resolution DEMs post-dating the 2013 Mw7.7 Baluchistan earthquake. The DEMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/) from DigitalGlobe base imagery (&copy;DigitalGlobe 2018). DEMs were mosaicked and vertically registered using the Ames StereoPipeline (https://ti.arc.nasa.gov/tech/asr/groups/intelligent-robotics/ngt/stereo/).     The base imagery included 0.5m and 0.3m resolution panchromatic imagery from QuickBird, GEOEYE, WorldView1, WorldView2, and WorldView3 (&copy;DigitalGlobe 2018). The dataset includes DEMs generated from in-track stereo imagery, as well as DEMs constructed from mixed pairs of non-in-track stereo images.   The post-event DEMs are not vertically registered to a pre-existing DEM in order to avoid removal of relative co-seismic offsets between the pre- and post-event pairs.  The generation of this dataset was funded by NASA in cooperation with the U.S. Geological Survey. A complete description of the generation of this dataset and the images that were used to construct the DEMs can be found in the associated manuscript:   Barnhart WD, Gold RD, Shea HN, Peterson KE, Briggs RW, Harbor DJ (2019) Vertical coseismic offsets derived from high-resolution stereogrammetric DSM differencing: The 2013 Baluchistan, Pakistan earthquake, JGR-Solid Earth.  DOI:10.1029/2018JB017107  The naming convention of individual DEMs is detailed in the metadata.  Note: The source data for this project are the individual 2 meter DEMs that were constructed with the SETSM open-source software (described above).  However, in order to utilize the OpenTopography webmap interface, these DEMs were mosaiced into a single seamless mosaic of post-earthquake topography.  Details on how this single mosaic was created are in the metadata.  Users are cautioned that files created using the webmap interface will use the averaged, mosaic data.  For certain applications, users may wish to utilize the source datasets by downloading the original DEMs via the "Source" directory under the "Bulk Download" section of the OpenTopography website.

Organization: OpenTopography
2013 Baluchistan, Pakistan Pre-Earthquake Stereogrammetric DEMs

This dataset includes a suite of pre-seismic  2m resolution DEMs pre-dating the 2013 Mw7.7 Baluchistan earthquake. The DEMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/) from DigitalGlobe base imagery (&copy;DigitalGlobe 2018). DEMs were mosaicked and vertically registered using the Ames StereoPipeline (https://ti.arc.nasa.gov/tech/asr/groups/intelligent-robotics/ngt/stereo/).   The base imagery included 0.5m and 0.3m resolution panchromatic imagery from QuickBird, GEOEYE, WorldView1, WorldView2, and WorldView3 (&copy;DigitalGlobe 2018). The dataset includes DEMs generated from in-track stereo imagery, as well as DEMs constructed from mixed pairs of non-in-track stereo images. The pre-event DEMs are all vertically registered to the 30 m Shuttle Radar Topography Mission (SRTM) DEM.  The generation of this dataset was funded by NASA in cooperation with the U.S. Geological Survey. A complete description of the generation of this dataset and the images that were used to construct the DEMs can be found in the associated manuscript:  Barnhart WD, Gold RD, Shea HN, Peterson KE, Briggs RW, Harbor DJ (2019) Vertical coseismic offsets derived from high-resolution stereogrammetric DSM differencing: The 2013 Baluchistan, Pakistan earthquake, JGR-Solid Earth  DOI:10.1029/2018JB017107   The naming convention of individual DEMs is detailed in the metadata. Note: The source data for this project are the individual 2 meter DEMs that were constructed with the SETSM open-source software (described above).  However, in order to utilize the OpenTopography webmap interface, these DEMs were mosaiced into a single seamless mosaic of pre-earthquake topography.  Details on how this single mosaic was created are in the metadata.  Users are cautioned that files created using the webmap interface will use the averaged, mosaic data.  For certain applications, users may wish to utilize the source datasets by downloading the original DEMs via the "Source" directory under the "Bulk Download" section of the OpenTopography website.

Organization: OpenTopography
Northern San Andreas Fault, CA

This page offers access to lidar data acquired along the Northern San Andreas fault and associated marine terraces in coastal Sonoma and Mendocino counties, California. This dataset covers approximately 418 square kilometers and includes approximately 1.2 billion data points. Point density is 1.2 points per square meter. 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
EarthScope Yakima Lidar Project

The EarthScope Yakima Lidar project acquired high resolution lidar topography data along the Yakima River in Central Washington, 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
Santa Maria River, AZ: Vegetation and channel form

NCALM Seed, PI: Sharon Bywater-Reyes, University of Montana. Riparian vegetation and channel process and form are intimately linked in many rivers. Pioneer woody riparian seedlings recruit on river bars and alter hydraulics and sediment transport, thus changing bar morphology. Explanations of barform morphodynamics have emphasized the role of bar-induced convective accelerations, steering of the flow, and resulting effects on sediment. The influence of vegetation on bar evolution, however, has not been integrated into our current understanding of barform morphodynamics. This ALSM dataset was collected via an NCALM Seed Grant to quantify how vegetation (cottonwood and tamarisk) changes barform morphology, and how vegetation and related topography collectively influences barform morphodynamics. This research has implications for understanding how vegetation influences channel form.

Organization: OpenTopography
San Rafael, UT: Survey of Exposed Subsurface Volcanic Features

NCALM Seed. PI: Jacob Richardson, University of South Florida. The survey area is a rectangular polygon located 85 km southwest of Green River, Utah in the San Rafael region of the state. The polygon is approximately 4.5 km wide by 8.3 km long and encloses 54 square km. The data were collected to look at exposed subsurface volcanic features in San Rafael, Utah. The survey took place on August 14, 2013.

Organization: OpenTopography
Chaco Canyon, NM: Simulating Dynamic Hydrological Processes

NCALM Seed Project. PI: Wetherbee Dorshow, University of New Mexico. The area of interest is defined by an irregular polygon with an area of 39.3 km2. The polygon follows a segment of the Chaco Canyon, NM and is located approximately 160 km northwest of Albuquerque, NM and 85 km Southeast of Farmington, NM. The data were collected to simulate dynamic hydrological processes in archaeological contexts.

Organization: OpenTopography
Calhoun Critical Zone Observatory 2014 Leaf On Survey

The National Center for Airborne Laser Mapping (NCALM) conducted a leaf-on survey of the Calhoun Critical Zone Observatory (CCZO) area on July 30, 2014 (hyperspectral imaging) and August 5-6, 2014 (LiDAR). The LiDAR survey was funded by NSF award EAR-1339015; the Calhoun CZO is funded by NSF award EAR-1331846 (P.I. Daniel deB. Richter).  Hyperspectral imaging data were also collected over the study area and are available via the following links:  CalibrationLlines_211.zip CalibrationLines_219.zip CZO_SC_2014_HyperspectralData_part1.zip CZO_SC_2014_HyperspectralData_part2.zipCZO_SC_2014_HyperspectralData_part3.zip

Organization: OpenTopography
White Mountain Fault Zone, Owens Valley, CA

NCALM Seed. PI: Zachery Lifton, Georgia Institute of Technology. The survey area consisted of a polygon located 15 km northeast of Bishop, California. The polygon is approximately 47 square kilometers. The survey took place on July 04, 2012. Data were collected to investigate new late Pleistocene slip rates on the White Mountain fault based on lidar data and geochronology.

Organization: OpenTopography
Yosemite National Park, CA: Rockfall Studies

NCALM Seed Project. PI: Valerie Zimmer, University of California Berkeley. The area of interest is defined by a quadrilateral polygon with an area of 35.1 km2, located in the grounds of the Yosemite National Park, specifically the Half Dome and the Yosemite Valley. The polygon is located approximately 127 km east of Modesto, CA and 110 km north of Fresno, CA. The data were collected for rock fall studies in the Yosemite National Park using seismic, acoustic, and Lidar data.

Organization: OpenTopography
Bishop, CA: Morphological characteristics of the Bishop Tuff

NCALM Seed Project. PI: Patrick Whelley, University at Buffalo, SUNY. The survey area was a rectangle, 6.5km by 6km (38 km2 area), located 20km north of Bishop, in California. The data were collected as part of a project to use morphological characteristics of the Bishop Tuff to infer pyroclastic flow emplacement dynamics.

Organization: OpenTopography
NW Nevada: Modeling of Meander Channel Evolution

NCALM Seed Project. PI: Yo Matsubara, University of Virgina, Charlottesville. The survey area is a rectangular polygon with an area of 32.664 km2 located approximately 200 km north east of Reno, NV and 85 km north west of the town of Winnemucca, NV. The data were collected for modeling of meander channel evolution in floodplain sedimentation.

Organization: OpenTopography
Digital Elevation Model of Dabbahu volcano, Ethiopia (Part 2 of 2)

Lidar data were acquired by the UK Natural Environmental Research Councils 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. 

Organization: OpenTopography
Digital Elevation Model of Dabbahu volcano, Ethiopia (Part 1 of 2)

Lidar data were acquired by the UK Natural Environmental Research Councils 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.

Organization: OpenTopography
Digital Elevation Model of Chabbi (east side of Corbetti volcano), Ethiopia

Lidar data were acquired by the UK Natural Environmental Research Councils 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). 

Organization: OpenTopography
Sinabung Volcano Model 1: Indonesia, September 2014

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)")

Organization: OpenTopography
Sinabung Volcano Model 2: Indonesia, September 2014

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)")


Organization: OpenTopography