AndreaBozzo/ceres-open-data-index huggingface dataset:
Calhoun Critical Zone Observatory 2016 Leaf Off LiDAR Survey

The National Center for Airborne Laser Mapping (NCALM) conducted a lidar survey of the Calhoun Critical Zone Observatory (CCZO) area on February 26, 2016. The survey was funded by NSF award EAR-1339015; the Calhoun CZO is funded by NSF award EAR-1331846 (P.I. Daniel deB. Richter).  Note: Lidar and DEM data have been adjusted by -0.098 meters to adjust for systematic vertical bias determined by analysis of 1251 ground check points collected at the Spartanburg airfield using a vehicle-mounted GPS antenna and receiver.

Organization: OpenTopography
Napa Watershed, CA

These data were acquired by the National Center for Airborne Laser Mapping (NCALM) in 2003. They have kindly agreed to make these data available to the research community through OpenTopography.Note: This is a classified last return dataset (i.e. there is not first return / canopy top data included).  A bare earth model can be created from these data, but a model generated from the full point cloud produces something that approximates a low vegetation surface - not ground, but also not canopy top.UPDATE: Full unfiltered 2003 point cloud ASCII files. Bulk download of the original unfiltered ASCII files (64 GB) from the 2003 Napa Watershed collection by the National Center for Airbone Laser Mapping (NCALM). The original ASCII data has been made available in response to the August 26, 2014 Mw 6.0 South Napa Earthquake.

Organization: OpenTopography
Garopaba Dune Field, Santa Catarina State, Brazil. SfM-MVS 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 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
Reynolds Creek Critical Zone Observatory 2015 Post-Soda Fire Lidar

These data were acquired in October 2015 after the Soda Fire burned approximately 280,000 acres of sagebrush steppe in the northern portion of the Reynolds Creek Experimental Watershed, Owyhee County, Idaho in August of that year.  This dataset was collected for Kathleen Lohse, Idaho State University, Department of Biological Sciences, and Mark Seyfried, USDA-ARS Northwest Watershed Research Center. The requested survey area is located approximately 55 km southwest of Boise, ID. The polygon encloses approximately 150 km2.

Organization: OpenTopography
Piercy, CA: Response of Bedrock River to Base Level Lowering, SF Eel River

NCALM Seed Project. PI: Melissa Foster, Humboldt State University. The survey area consists of a 44 square kilometer polygon located next to Piercy, CA. The data were collected to study the response of a bedrock-controlled river and its tributaries to base level lowering. The study investigates the knickpoints and channel response of the South for Eel River.

Organization: OpenTopography
Yosemite, CA: El Portal, Mariposa Grove, Yosemite Canyon & Tuolumne Meadows

The survey area consists of five polygons totaling an area of 131 square kilometers covering portions of Yosemite National Park, California. The area of interest includes Yosemite Canyon, El Portal, Mariposa Grove and Tuolumne Meadows. hese data were collected by the National Center for Airborne Laser Mapping (NCALM) on behalf of Greg Stock of the National Parks Service

Organization: OpenTopography
Yosemite, CA: Spatial & Temporal Patterns of Nitrogen Export

The survey area consists of a 101 square kilometer polygon over an eastern portion of Yosemite National Park. Data were collected to study spatial and temporal patterns of nitrogen export and land use change in a mountainous watershed. hese data were collected by the National Center for Airborne Laser Mapping (NCALM) on behalf of Steve Martel, University of Hawaii

Organization: OpenTopography
Cache NF, UT: Predicting Bonneville Cutthroat Trout Spawning Hotspots

NCALM Seed. PI: Ryan Lokteff, Utah State University. The survey area consists of an irregular polygon located 26 kilometers northeast of Logan, Utah in the Cache National Forest. Lidar data were collected to extend predictions of Bonneville Cutthroat Trout spawning hotspots. The survey occurred on August 31, 2011, covering an area of 62 square kilometers.

Organization: OpenTopography
Hite, UT: Quantifying Evolution and Stability of Coarse Alluvial Channels

NCALM Seed. PI: Lindsay Olinde, University of Texas at Austin. The survey area consists of an irregular polygon located 15 km west of the small paved airstrip at Hite, Utah. Lidar data were collected to quantify the evolution and stability of coarse alluvial channels draining from the Henry Mountains.

Organization: OpenTopography
2008 Iowa River Flood Lidar, Iowa City, and the Clear Creek Watershed

NCALM. PI: Witold Krajewski, University of Iowa. The two survey areas are both irregular polygons. The first polygon enclosed approximately 282 square kilometers and was centered on the Iowa River from the Coralville Dam just north of Iowa City, Iowa and continuing south. The second polygon enclosed 282 km square and was centered on the Clear Creek Watershed. The data were collected to survey the Iowa River Flood along the Iowa River and Clear Creek Watershed. The data collection was funded by NSF Small Grant for Exploratory Research (SGER) program.

Organization: OpenTopography
Mojave Desert, CA: Evolution of the Hector Mine Earthquake Surface Rupture

NCALM Seed. PI: Frank Sousa, Caltech.  The survey area consisted of a polygon located 90 km East of Victorville, California in the Marine Corps Air Ground Combat Center. The polygon is approximately 48 km long by 1.5 km wide and encloses approximately 71 km. The survey took place on May 27, 2012.

Organization: OpenTopography
Merced, CA: Origin and Evolution of the Mima Mounds

NCALM Seed Project. PI: Sarah Reed, University of California, Berkeley. This lidar survey was conducted on Sunday, September 17, 2006 on a 33 square kilometer polygon northeast of Merced in Merced County, California.  These data were collected to investigate the origin and evolution of Mima mounds in California's Central Valley.

Organization: OpenTopography
Mt Vettore Fault, San Lorenzo Site, Curly Trench

Terrestrial Laser Scan of a palaeoseismic trench opened by the INGV on the fault rupture of the 2016 Norcia Earthquake. Details of the palaeoseismological investigation can be found in Cinti et al (currently in review). 

A Leica Scanstation C10 laser scanner was used to capture the data. 5 separate scan positions were used, with four registration points included in the scans. Photographs catptured by the scanner were used to colour the scans. Scans were registered in the Leica Geosystems HDS Cyclone software.

Data was funded by NERC Urgency grant NE/P018858/1.

Geoferencing was provided by handheld GPS and has an accuracy of ~3 m (according to the GPS), although internal registration of scans is consistent with an accuracy of <1cm.

Organization: OpenTopography
Mt Vettore Fault, San Lorenzo Site, Matthew Trench

Terrestrial Laser Scan of a palaeoseismic trench opened by the INGV on the fault rupture of the 2016 Norcia Earthquake. Details of the palaeoseismological investigation can be found in Cinti et al (currently in review). 

A Leica Scanstation C10 laser scanner was used to capture the data. 1 scan positions were used, with 3 registration points included in the scans. Photographs captured by the scanner were used to colour the scan. Scans were processed in the Leica Geosystems HDS Cyclone software.

Data was funded by NERC Urgency grant NE/P018858/1.

Geoferencing was provided by handheld GPS and has an accuracy of ~3 m (according to the GPS), although internal registration of scans is consistent with an accuracy of <1cm.

Organization: OpenTopography
Mt Vettore Fault, Forca di Presta Site, Hope Trench

Terrestrial Laser Scan of a palaeoseismic trench opened by the INGV on the fault rupture of the 2016 Norcia Earthquake. Details of the palaeoseismological investigation can be found in Cinti et al (currently in review). 

A Leica Scanstation C10 laser scanner was used to capture the data. 7 separate scan positions were used, with four registration points included in the scans. Scans were registered in the Leica Geosystems HDS Cyclone software.

Data was funded by NERC Urgency grant NE/P018858/1.

Geoferencing was provided by handheld GPS and has an accuracy of ~3 m (according to the GPS), although internal registration of scans is consistent with an accuracy of <1cm.

Organization: OpenTopography
Idaho Lidar Consortium (ILC): Jack Waite Mine

The lidar survey was conducted by vendor Parametrix, a Lidar company. Lidar instrument Optech ALTM-2033 was flown with Cessna 337 over the period of 13 and 24 Oct 2007. The data were delivered in ASCII format with information on Ground Last Return, Extracted Features 1st Return, Extracted Features Last Return, All Shots 1st Return, All Shots Last Return, Model Keypoints. 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 5741 hectares in Jack Waite Mine, Murray,Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.

Organization: OpenTopography
North Carolina Coast: Quantifying Patterns of Coastal Change (June 2006)

NCALM Project. PI: Sara Tebbens, Wright State University. This Lidar survey was conducted over the North Carolina Outer Banks between Cape Lookout and Manteo on June 22, 2006 (GPS Day 173). The survey window needed to be optimized for both a low PDOP (strong satellite geometry) and low tide, with low tide being more essential. Both of these objectives were successfully met as best as possible. Low tide at Cape Hatteras on June 22 (06/22/2006) was 11:02AM LDT and was predicted at -0.2 L. Our survey time was from 10:10 AM - 1:30 PM which included degraded PDOP from 12:15 - 12:45, but was otherwise good.  Three flight passes were required to cover the coastline. The coastline was flown by eye since navigation waypoints for this project were not provided. Data available through OpenTopography were collected at a "low pass" height (600 meters). This area was re-surveyed in July 2007 and data are available through OpenTopography:  North Carolina Coast: Quantifying Patterns of Coastal Change (July 2007)

Organization: OpenTopography
North Carolina Coast: Quantifying Patterns of Coastal Change (July 2007)

NCALM Project. PI: Sara Tebbens, Wright State University. This Lidar survey was conducted over the North Carolina Outer Banks between Cape Lookout and Manteo on July 8, 2007. This dataset contains only filtered points. This area was previously surveyed in June 2006 and  data are available through OpenTopography: North Carolina Coast: Quantifying Patterns of Coastal Change (June 2006). The vertical datum for the unfiltered and filtered lidar returns are as follows: unfiltered points- GRS80 ellipsoid heights, filtered points- NAVD88 elevations.

Organization: OpenTopography
Survey of Parts of Potomac and Susquehanna Rivers

NCALM Project. PI: Paul Bierman, University of Vermont. The survey area consisted of two polygons: 1) over a portion of the Potomac River in Washington D.C. enclosing 60 square km; and 2) over a portion of the Susquehanna River in Pennsylvania enclosing 23 square km. The Susquehanna survey took place on January 9, 2005 and the Potomac survey took place on January 11, 2005.

Organization: OpenTopography
Thorton, NH: Hydrologic and Topographic Controls on Organic Carbon in Soils

NCALM Seed Project PI: Adam Finkelman, Plymouth State University. The survey area is an irregular polygon approximately 42 square kilometers approximately 20 kilometers north of Plymouth, NH in the White Mountain National Forest. The data were collected to study the hydrologic and topographic controls on the distribution of organic carbon in forest soils.

Organization: OpenTopography
Photogrammetric model of a portion of the Lee Adoyta Basin, Afar, Ethiopia

These data were collected in the Lee Adoyta basin of Ledi Geraru Research Project, Lower Awash Valley, Afar, Ethiopia. They were produced in support of paleontological research. The area comprises gently tilted 2.7 million year old rocks faulted against 3 million year old basalts. The area was described by 	DiMaggio, E. N., Campisano, C. J., Rowan, J., Dupont-Nivet, G., Deino, A. L., Bibi, F., Lewis, M. E., Souron, A., Garello, D., Werdelin, L., Reed, K., E., Arrowsmith, J R., Late Pliocene Fossiliferous Sedimentary Record and the Environmental Context of early Homo from Afar, Ethiopia, Science, VOL 347 ISSUE 6228, 10.1126/science.aaa1415, 2015.

Collected with a DJI Mavic Air by Ramon Arrowsmith in coordination with Erin DiMaggio. Dominique Garello and Brian Villmoare assisted in ground control and planning. 

Organization: OpenTopography
Pre-Kumamoto Earthquake (16 April 2016) Rupture Lidar Scan

The 16 April 2016 M7 Kumamoto earthquake ruptured the Futagawa- Hinagu fault zone on Kyushu Island of southwestern Japan. The lidar dataset collected by Air Survey Co., Ltd., of Japan covers the western half of the rupture zone. The acquisition of the imagery closely brackets the timing of the earthquake: The pre-earthquake dataset was acquired on 15 April 2016 and the post-earthquake dataset was acquired on 23 April 2016.  For more information on this dataset refer to the following publications: Scott, C. P., Arrowsmith, J. R., Nissen, E., Lajoie, L., Maruyama, T., & Chiba, T. (2018). The M7 2016 Kumamoto, Japan, Earthquake: 3-D Deformation Along the Fault and Within the Damage Zone Constrained From Differential Lidar Topography. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1029/2018JB015581 Scott, C., Champenois, J., Klinger, Y., Nissen, E., Maruyama, T., Chiba, T., & Arrowsmith, R. (2019). 2016 M7 Kumamoto, Japan, Earthquake Slip Field Derived From a Joint Inversion of Differential Lidar Topography, Optical Correlation, and InSAR Surface Displacements. Geophysical Research Letters. https://doi.org/10.1029/2019GL082202  

Organization: OpenTopography
Kilauea Volcano, HI July 2018 Acquisition

The July 2018 LiDAR data collection over the Kilauea Summit and the Lower East Rift Zone was conducted by the US Army Cold Regions Research & Engineering Lab (CRREL), The University of Houston and the USGS. Funding was provided by the State of Hawaii and the Federal Emergency Management Agency (FEMA). The system utilized was an R44 helicopter based pod which uses a Riegl VQ580i full waveform laser scanner. Total of 9 flights over the course of 5 days (July 8 - 12, 2018). This survey covers portions of Hawaii Volcano National Park on the Big Island of Hawaii as Kilauea volcano continues to erupt in Summer, 2018. The survey area covers approximately 122.4 km2. Dataset obtained from the USGS  Kilauea LiDAR  website. Please refer to that site for additional information. Version Note: An initial version of this dataset, available from OpenTopography between July 23rd and 27th, 2018, had low classified ground point density due to a processing error. An updated version of the dataset (v.2), reprocessed by the US Army CRREL, was published by OpenTopography on July 30th, 2018 at 19:00 MDT.

Organization: OpenTopography
Wheeler Ridge, CA

NCALM Seed. PI: Emily Kleber, Arizona State University. Wheeler Ridge is an asymmetric east-propagating anticline (10km axis, 330m relief) above a north-vergent blind thrust deforming Quaternary alluvial fan and shallow marine rocks at the northern front of the Transverse Ranges. Thrust faulting is associated with the Big Bend in the San Andreas Fault, ~10 km to the south. These data were collected to investigate how the landscape is responding to variations in uplift rate along the fold axis and better understand the transient response of the landscape due to local rock uplift.

Organization: OpenTopography
Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 1

This dataset covers a site near the center of the 16 December 1954 M 6.8 Dixie Valley earthquake rupture in central Nevada, United States. At this site, a linear debris flow chute draining the Stillwater Range front on to a shallowly sloping alluvial fan is offset by both synthetic and antithetic fault scarps that together form an intervening graben. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyor: Peter Gold

Organization: OpenTopography
Lunar Crater Volcanic Field, Central Nevada

PI: Greg Valentine, University at Buffalo. NSF Project: The survey area is defined by a rectangular polygon located in Nevada, about 110 kilometers east of Tonopah. The polygon had a planned surface area of 366.64 km². The survey took place from June 30, 2012 through July 3, 2012. The data were collected to investigate controls on magma ascent and eruption at the Lunar Crater Volcanic Field, a mafic intraplate volcanic field.

Organization: OpenTopography
Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 2

This dataset covers a site near the southern extent of the 16 December 1954 M 6.8 Dixie Valley earthquake rupture in central Nevada, United States. At this site, a nearly linear debris flow chute that drains the Stillwater Range front on to a shallowly sloping alluvial fan is offset by both synthetic and antithetic fault scarps that together form an intervening graben. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyor: Peter Gold

Organization: OpenTopography
East Fork White River Chute Cutoff with UAS (ESPL), Indiana, 2018

Meandering river sinuosity increases until the channel erodes into itself (neck cutoff) or forms a new channel over the floodplain (chute cutoff) and sinuosity is reduced. Unlike neck cutoff, which can be measured or modeled without considering overbank processes, chute cutoff must be at least partially controlled by channel-forming processes on the floodplain. Even though chute cutoff controls meandering river form, the processes that cause chute cutoff are not well understood. This study analyzes the morphology of two incipient chute cutoffs along the East Fork White River, Indiana, USA, using high temporal and spatial resolution UAS-based lidar and aerial photography. Lidar and aerial imagery obtained between 1998 and 2019 reveals that large scour holes formed in the center of both chutes sometime after chute channel initiation. A larger analysis within the study watershed reveals that scour holes within incipient chutes can be stable or unstable and tend to stabilize when the chute is colonized by native vegetation and forest. When the scour holes form in farmed floodplain, they enlarge rapidly after initial formation and contribute to complete chute cutoff. In addition, this study shows that the formation of scour holes can occur in response to common, relatively low-magnitude floods and that the amount of incipient chute erosion does not depend on peak flood magnitude. The role of scour holes in enlarging of chute channels could be an important mechanism for chute channel evolution in meandering rivers. This study also confirms that understanding the relationships among flow, land cover, and cutoff morphology is substantially improved with on-demand remote sensing techniques like integrated UAS and lidar. 

Organization: OpenTopography
Galway Lake Road, Emerson Fault, CA

Galway Lake Road site data was generated using Structure from Motion (SfM; not a laser scanning method). The site, located ~45 km north of Yucca Valley, covers a segment of the Emerson Fault ruptured by the 1992 Mw 7.3 Landers earthquake, and tests the feasibility of SfM as part of the immediate scientific response following an earthquake.

Organization: OpenTopography
Washington Street site, Banning strand, southern San Andreas Fault, CA

Washington Street site data was generated using Structure from Motion (SfM; not a laser scanning method). The site is located ~20 km due east of Palm Springs and covers a short section of the southern Banning strand of the San Andreas Fault that cuts through an alluvial fan and has not ruptured historically. The site serves as a test site for using SfM in paleoseismic studies. 

Organization: OpenTopography
Lassen Volcanic National Park, CA 2019

This lidar dataset was collected as part of an NCALM Seed grant for Thomas Herbst at the  University of Missouri.  This project explored Lava Domes, and mapped a portion of the Lassen Volcanic Center in Lassen Volcanic National Park, California.  The dataset was collected in 2019 and covers roughly 55 km 2

Organization: OpenTopography
2018 Faraglione, Vulcano Island, Sicily, Italy (simple demo)

These data were collected over the Faraglione--a rock outcropping in the Vulcano Town area, Vulcano Island, Sicily, Italy. They were produced as part of a general investigation of the island and in support of a Risk Course from the University of Geneva lead by Professor Costanza Bonnadonna. The Faragalione is a set of tilted and deformed volcanic rocks. Collected with a DJI Phantom 4 Pro by Ramon Arrowsmith in coordination with Dr. Fabio Pisciotta of the INGV.  Alessandro Gattuso (INGV) assisted in ground control and planning. 

Organization: OpenTopography