AndreaBozzo/ceres-open-data-index huggingface dataset:
Eel River Critical Zone Observatory July 2014 Lidar Survey (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 by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes.   The requested survey area consisted of a 1 km wide corridor, running for approximately 115 km along the Eel river.    This survey was performed with 3 airborne remote sensing mapping systems. Two of these systems are LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) (serial # 06SEN195) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM (serial # 11SEN279) 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 two 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). The third airborne sensor was for Hyperspectral imaging. This portion of the survey was performed with a CASI-1500 - a push broom type hyperspectral imaging sensor sold by ITRES. It is mounted on a vibration isolated mount together with the Gemini LIDAR sensor. Hyperspectral data are available via this link.

Organization: OpenTopography
Geomorpho90m - Global High-Resolution Geomorphometry Layers

Topographical relief comprises the vertical and horizontal variations of the Earths terrain and drives processes in geomorphology, biogeography, climatology, hydrology and ecology. Its characterisation and assessment, through geomorphometry and feature extraction, is fundamental to numerous environmental modelling and simulation analyses. We, therefore, developed the Geomorpho90m global dataset comprising of different geomorphometric features derived from the MERIT-Digital Elevation Model (DEM) - the best global, high-resolution DEM available. The fully-standardised 26 geomorphometric variables consist of layers that describe the (i) rate of change across the elevation gradient, using first and second derivatives, (ii) ruggedness, and (iii) geomorphological forms. The Geomorpho90m variables are available at 3 (~90&#8201;m) and 7.5 arc-second (~250&#8201;m) resolutions under the WGS84 geodetic datum, and 100&#8201;m spatial resolution under the Equi7 projection. They are useful for modelling applications in fields such as geomorphology, geology, hydrology, ecology and biogeography.

Organization: OpenTopography
Post-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
Utah Geological Survey Lidar

The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects.  In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah.  The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files.  The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners.   These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.

Organization: OpenTopography
2013 USFS Tahoe National Forest Lidar

High Density LiDAR was flown for the majority of the Tahoe National Forest over two seasons (early snow fall in 2013 required a seasonal pause in the acquisition) to help inform a variety of metrics for USFS assessments including vegetation, fuels, hydrology, and geology.This dataset includes data collected in the 2013 season. For 2014 data, click here. Note: One flight swath was missed during the 2013 collection campaign, resulting in a lower point density in that area. The swath was flown in 2014, but is included in neither this nor the 2014 data provided through OpenTopography's services. You may still download this point cloud file in the bulk download section here.

Organization: OpenTopography
2014 USFS Tahoe National Forest Lidar

High Density LiDAR was flown for the majority of the Tahoe National Forest over two seasons (early snow fall in 2013 required a seasonal pause in the acquisition) to help inform a variety of metrics for USFS assessments including vegetation, fuels, hydrology, and geology.This dataset includes data collected in the 2014 season. For 2013 data, click here. Note: One flight swath was missed during the 2013 collection campaign, resulting in a lower point density in that area. The swath was flown in 2014, but is included in neither this nor the 2013 data provided through OpenTopography's services. You may still download this point cloud file in the bulk download section here.

Organization: OpenTopography
Lava Flow Time Series Experiment, Syracuse, NY

This dataset comprises time-series raster data of an active experimental lava flow. At each time step (approximately 7 second intervals  see below), topography was collected with SfM, surface temperature was collected with FLIR infrared imagery, and surface velocity was calculated using PIVLab (video-based velocimetry) and georeferenced to coincide with the other rasters. The data here were used in Farrell (2019) [JGR:SE In Revision as of 11/12/19]. 

Organization: OpenTopography
Jemez River Basin Snow-on Lidar Survey

High-resolution Lidar survey covers an area of 280 km2 in the upper part of the Jemez River basin, New Mexico. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak snowpack 2010 (March - April 2010). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets, together with the snow-off Lidar survey performed in Jun - July 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.

Organization: OpenTopography
Jemez River Basin Snow-off Lidar Survey

High-resolution Lidar survey covers the area of 722 km2 which includes the Valles Caldera (upper part of the Jemez River basin) and Frijoles Canyon, New Mexico. The data collection was jointly funded by the National Science Foundation (NSF), Valles Caldera National Preserve (VCNP), Bandelier National Monument/National Park Service (BNM/NPS) and United States Geological Survey (USGS) and performed by the National Center for Airborne Laser Mapping (NCALM) during a snow-off season (June and July 2010). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. This dataset, together with the snow-on Lidar survey performed in March and April 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.

Organization: OpenTopography
2019 Cable Mountain Rockfall, Zion National Park, Utah

On August 24, 2019, at approximately 5:30 p.m., a large slab of  Navajo  Sandstone  detached  from  a  vertical  cliff  face  of  Cable Mountain above the Weeping Rock area, in Zion National  Park,  Utah.  The  slab  of  rock  detached  approximately  2000  vertical  feet  (610  meters)  above  the  parking  lot  at  the  Weeping Rock trailhead. Utah Geological Survey (UGS) geologists conducted a site reconnaissance on August 26, 2019. An additional investigation including high-resolution photo-graphs and video collected using a small unmanned aircraft system  (sUAS),  was  conducted  October  2425,  2019.  Data  were also collected to help assess the stability of a prolific rockfall area that has repeatedly damaged the nearby Hidden Canyon trail. The sUAS data collected were used to create a digital elevation model (DEM), structure from motion (Sf M) model, and an orthomosaic image of a large part of the western  Cable  Mountain,  Weeping  Rock,  and  Hidden  Canyon  areas. The estimated volume of the rock avalanche was calculated to be 435,712 cubic feet (12,338 m3). The rock mass was  approximately  31,000  tons.  The  calculated  volume  and  flow-like qualities of the event classify it as a very small rock avalanche. No specific triggering event could be identified for the rock avalanche event; however, it appears thermal cycling is a likely contributing factor. The recommended solution in this situation is (1) avoidance of the rockfall hazard, such as not building structures and limiting access in areas with frequent rockfall and/or (2) acceptance of the hazard and the risk associated with it, knowing that the consequences of this option could result in loss of life and damage to property. 

Organization: OpenTopography
Susquehanna Shale Hills Critical Zone Observatory: Leaf Off Survey

This high-resolution lidar survey covers an area of 209 km2 located 10 miles southwest of State College, Pennsylvania. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak leaf-on and leaf-off conditions in 2010 (July 2010 and December 2010, respectively). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets were used to estimate vegetation biomass and distributions, provide bare earth elevations, and to assist with prediction of Critical Zone creation and structure.

Organization: OpenTopography
Susquehanna Shale Hills Critical Zone Observatory: Leaf On Survey

This high-resolution lidar survey covers an area of 209 km2 located 10 miles southwest of State College, Pennsylvania. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak leaf-on and leaf-off conditions in 2010 (July 2010 and December 2010, respectively). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets were used to estimate vegetation biomass and distributions, provide bare earth elevations, and to assist with prediction of Critical Zone creation and structure.

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

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.  A new reprocessed (classified) version of this dataset is here: B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar 

Organization: OpenTopography
Point Reyes, CA: Landscape Response to Tectonics

NCALM Seed. PI: Kristin Morell, Penn State University. The survey area is 76.31 square kilometers, located 26 kilometers northwest of San Francisco, California in the Point Reyes National Seashore.  This survey was flown as a part of Seed Money Survey Campaign that took place in Aug-Sept 2009. This section was surveyed over two days: Sept 8, 2009 and Sept 9, 2009. Lidar data was collected to investigate the landscape response to tectonics by studying the coupling between channels and hillslopes during transient adjustment to an increase in uplift rate.

Organization: OpenTopography
Wax Lake Delta, Louisiana, USA 2013

Airborne lidar data of Wax Lake Delta, Louisiana, USA, a delta prograding into Atchafalaya Bay, Gulf of Mexico.     Rasters were produced from the 2013 Airborne lidar data wherein trees and vegetation were removed. The data were then rasterized and saved to geotiff using the software package CloudCompare.  Note: The point cloud data were not initially classified for vegetation removal. As such, the investigators removed vegetation to create the raster datasets. The removal process will not match the removal from the classification performed on the data later. The later classification is uploaded to OpenTopography. To get the same rasters as the ones available on OpenTopography, start with the complete unclassified point cloud and follow the methods described in the full metadata file.

Organization: OpenTopography
EarthScope Alaska Denali Totschunda Lidar Project

The EarthScope Alaska Denali-Totschunda Lidar project acquired high-resolution lidar topography data along the Denali-Totschunda fault system as part of the EarthScope Facility project. EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. GeoEarthScope 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
Apopka, FL: Using Lidar to Identify Optimal Gopher Tortoise habitat

NCALM Seed. PI: Chris Catano, University of Central Florida. The survey area covers 49 square kilometers of the Wekiwa Springs State Park near Apopka, Florida. The data were collected to identify optimal habitat for the Gopher Tortoise (Gopherus Polyphemus).

Organization: OpenTopography
High Resolution Topography over Gabilan Mesa, CA 2003

Airborne lidar collection to study the formation of evenly spaced ridges and valleys over the Gabilan Mesa in California.  Further details can be found in the publication:  Perron, J. Taylor, James W. Kirchner, and William E. Dietrich. "Formation of evenly spaced ridges and valleys." Nature 460.7254 (2009): 502-505.  https://doi.org/10.1038/nature08174

Organization: OpenTopography
IML Critical Zone Observatory, Sangamon River, IL Aug 2014 (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 by NCALM  for PI Dr. Praveen Kumar, University of Illinois. The Sangamon River area is part of the Intensively Managed Landscapes (ILM) Critical Zone Observatory (CZO).    The requested survey area consisted of two connected rectangles enclosing approximately 198 square kilometers along with their associated watercourse corridors. The project rectangles are located 20 km west of Champaign. IL. The entire enclosed area of these 2 rectangles was surveyed with the Gemini (1064 nm, NIR instrument); the enclosed watercourse corridors illustrate where Aquarius (532 nm instrument) data was also collected.

Organization: OpenTopography
Quantifying rock strength controls in Guadalupe Mountains, NM/TX

This lidar dataset was collected as part of an NCALM Seed grant for Alexander Neely, Penn State University.  Roughly 63 square kilometers of data was collected in June of 2018 in the Guadalupe Mountains in New Mexico and Texas.  This project was designed to quantify rock strength controls on landscape morphology within the Guadalupe Mountains.

Organization: OpenTopography
3D Landscape Reconstruction and Land Use Modeling, Chaco Canyon, NM 2016

This dataset, located within Chaco Canyon, New Mexico was collected by NCALM for Dr. Wetherbee Dorshow and Dr. Wirt Wills to help reconstruct the three dimensional landscape as well as model land use at Chaco Canyon, New Mexico. The survey area totaled approximately 545 km2.

Organization: OpenTopography
Geomorphic Effects of Landslide Dams on the Owyhee River, Oregon

NCALM. PI: Jennifer Rose Wallick, Oregon State University. The area of interest covers 279 square kilometers along the Owyhee River in southeastern Oregon. The data were collected to study the geomorphic, hydraulic, and sediment transport effects of landslide dams and dam-breach floods on the Owyhee River. Data were collected from October 1-3, 2008.

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

Pre-earthquake terrestrial laser scanning dataset collected on 29th October 2016, 12 hours prior to 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 post-earthquake dataset is available from OpenTopography at: https://doi.org/10.5069/G9CV4FV2

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
California Coast: Big Creek, Vincente, Arroyo Seco, Scotts Creek, UCSC

NCALM Project, PI: Noah Finnegan, University of Claifornia, Santa Crus. The Areas of Interest (AOIs) are five regions: Scotts Creek, the UCSC campus, Arroyo Seco, Big Creek and Vicente with a total surface area of 375 square kilometers. The Scotts Creek and UCSC polygons are located north of Santa Cruz, CA and the Arroyo Seco, Big Creek and Vicente polygons are located south east of Big Sur, CA and west of King City, CA. Data were collected March 8-11, 2011.

Organization: OpenTopography
Reporoa and Upper Piako River, Waikato, New Zealand 2019

Lidar was captured for Lincoln Agritech Limited by Aerial Surveys  in April 2019.  The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Reporoa Township and the surrounding area as well as the Upper Piako River Catchment. Data management and distribution is by Land Information New Zealand.

Organization: OpenTopography
August 24, 2014 South Napa Earthquake

The August 24, 2014, South Napa earthquake (M6.0) produced significant damage resulting from shaking, fault rupture, fault afterslip, and ground deformation. Lidar data were collected to aid specialized work on the South Napa  earthquake including: (1) fault afterslip, especially in the Browns Valley residential neighborhood; (2) shaking and correlation to damage such as red- and  yellow-tagged structures, especially in the downtown Napa area; (3) seismic hazards of the West Napa Fault  System, especially in residential areas; and (4) geospatial analysis and imagery support (such as post-processing  of lidar and other imagery that has already been acquired).    Airborne lidar data and imagery were collected on September 9, 2014 as part of multi-agency/institutional response to the August 24, 2014 South Napa Earthquake. Details of the scientific response to this earthquake including the lidar acquisition can be found in Hudnut et al., 2014: USGS Special Open-File Report 2014-1249. Data were collected and initially processed by Towill and are available both as raw files and products as initially delivered by the vendor, as well as the USGS re-processed version of re-classified point clouds and 0.25 meter DEM's from the USGS HDDS Explorer. Point clouds available from USGS and OpenTopography were reclassified (metadata) by the US Geological Survey; this re-processing was funded by FEMA. Orthoimagery were collected by Towill on September 9, 2014, and by Google on August 24, 2014.

Organization: OpenTopography
Furnace Creek Wash, Death Valley National Park, California

PI: Noah Snyder, Boston College. The survey area is a 38 square kilometer polygon near the Furnace Creek Inn and Ranch in Death Valley National Park, California. This area was flown on February 27, 2005. The data were collected to investigate transient response of a desert river to forced diversion. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

Organization: OpenTopography
Furnace Creek and Fish Lake Valley Fault Zones, Death Valley National Park

PI: James Dolan, University of Southern California. The project area consists of two rectangular polygons covering an area of 38 square kilometers. Data were collected along the Furnace Creek and Fish Lake Valley Fault Zones in Death Valley National Park. The data were collected February 28, 2005. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

Organization: OpenTopography
Sierra National Forest, CA: Soil Formation and Transport

NCALM Seed. PI: Arjun Heimsath, Dartmouth College. The survey area includes four polygons northeast of Fresno, California with the closest area being 21 kilometers northeast of Fresno and the furthest area being 83 kilometers northeast of Fresno. The total survey area is approximately 50 square kilometers. The data were collected to investigate the soil formation and transport in the southern Sierra Nevada, California.

Organization: OpenTopography