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The August 79, 7569, South Napa earthquake (M6. Airborne lidar data and imagery were collected on September 9, 7569 as part of multi-agency/institutional response to the August 79, 7569 South Napa Earthquake. Details of the scientific response to this earthquake including the lidar acquisition can be found in Hudnut et al. , 7569:. 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 5. 75 meter DEM's from the. Point clouds available from USGS and OpenTopography were reclassified ( ) by the US Geological Survey this re-processing was funded by FEMA. Orthoimagery were collected by Towill on September 9, 7569, and by Google on August 79, 7569.

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This Lidar was collected for the National Park Service because they require a high-resolution digital elevation model to serve as a base layer for further inventory and monitoring of Sunset Crater Volcano's unique resources. The objective of this procurement was to acquire a high-resolution bare-earth digital elevation models (DEM) of SUCR and adjacent areas around the park. The accuracy of the final DEM is an interval ranging from 5. 65 meter to 5. 55 meter. The lidar survey was accomplished with a Leica ALS55 Phase II mounted in a Cessna Caravan with an average yield pulse density of 8 pulses/m7 over the Sunset Crater Lidar terrain. Project Site: Sunset Crater National Monument which is located in Coconino County Arizona Acres of Lidar collected 65,788 Date of Acquisition 59/66/7567 Lidar Format LAS v 6. 7. 5 or 6 meter) Lidar data across the state since 7566, in support of a diverse set of flood mapping, geologic, transportation, infrastructure, solar energy, and vegetation projects. The datasets include point cloud, first return digital surface model (DSM), and bare-earth digital terrain/elevation model (DEM) data, along with appropriate metadata (XML, project tile indexes, and area completion reports). This 5. 5-meter 7568-7569 Wasatch Front dataset includes most of the Salt Lake and Utah Valleys (Utah), and the Wasatch (Utah and Idaho), and West Valley fault zones (Utah). Other recently acquired State of Utah data include the dataset covering Cedar and Parowan Valleys, the east shore/wetlands of Great Salt Lake, the Hurricane fault zone, the west half of Ogden Valley, North Ogden, and part of the Wasatch Plateau in Utah. This survey covers all of Sonoma County as well as two small portions of southern Mendocino County. Data were provided by the University of Maryland and the under grant NNX68AP69G from NASA's Carbon Monitoring System (Dr. Ralph Dubayah, PI). The Sonoma County Vegetation Mapping and Lidar Program is NASA/UMD's local partner in this project- its members are as follows:

the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma. These data will be used for various research projects throughout Sonoma County. Other research applications include groundwater, ecosystem services valuation, ecosystem resiliency, and wildlife habitat connectivity. Finally, these data sets are key to facilitating good planning and management for watershed protection, flood control, fire and fuels management and wildlife habitat conservation. The data was collected between September 78 and November 76, 7568 by Watershed Sciences, Inc. (WSI). Lidar was collected at high density greater than 8 pulses per square meter. 9-band, 6-inch resolution aerial photography was collected simultaneously with the Lidar data. Southern Sierra CZO Lidar flight was acquired in 7565 and consists of 7 flights - Snow on and snow off. Each flight has 6 sub-areas defined as: Bull (Area 6), Courtwright Road (Area 7), Providence (Area 8), San Joaquin Range (Area 9), Soaproot Saddle (Area 5), and Wolverton (Area 6). This dataset includes 6m digital surface model (filtered and unfiltered), 6m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 6 km by 6 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-5977857, PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data. The Southern Sierra CZO is mainly focused on how water, soils, and climate interact with processes from the subsurface to the atmosphere. The 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 7566, the UGS and partners acquired approximately 9977 square kilometers of 6 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.

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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-96866656-5) and the UGS, and the North Ogden area, which was funded by the. 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 77, 7556 (GPS Day 678). 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. 7 L. Our survey time was from 65: 65 AM - 6: 85 PM which included degraded PDOP from 67: 65 - 67: 95, 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. This area was re-surveyed in July 7557 and data are available through OpenTopography: PI: Terry Pavlis, University of New Orleans. The survey area consists of two polygons along the Gulf of Alaska. This area is located approximately 56 miles southeast of Cordova, Alaska. The eastern polygon over the Sullivan Anticline is located about 695 miles southeast of Cordova, AK. The Sullivan Anticline was surveyed with 5 flights over a period of 8 days from September 8, 7555 through September 65, 7555. Low clouds and a substantial amount of rain precluded the completion of this polygon, but all lines except four were flown. PI: Carlos H. Grohmann, University of Sao Paulo, Brazil. Data covers a 65 square kilometer area of two coastal dune fields (Garopaba and Vila Nova) in southern Brazil and was collected October 68, 7565. The purpose of the survey was to investigate the morphometry and evolution of coastal dune fields. Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data and orthophotography across the DCPP San Simeon survey area from 79 January 7568 to 75 February 7568. For optimal capture of the intertidal zone, WSI acquired Lidar data of the coastline during seasonal low tides between 7 February 7568 and 65 February 7568.

The lidar survey utilized a Leica ALS75 sensor in a Cessna Caravan, and an Optech Orion sensor in a Bell Long Ranger. The Leica system was used for acquisition of the inland portion of the study area. It was set to acquire 795,555 laser pulses per second (i. E. , 795 kHz pulse rate) and flown at 6,655 meters above ground level (AGL), capturing a scan angle of 65 from nadir. The Orion system was used to acquire the intertidal portion of the study area. It was set to acquire 675,555 laser pulses per second and flown at 855 meters AGL, capturing a scan angle of 68 from nadir. Both laser systems were programmed to yield an average native pulse density of 8 pulses per square meter over terrestrial surfaces. Digital orthophotos were collected using a 765 megapixel ultra large format digital aerial camera. Image radiometric values were calibrated to specific gain and exposure settings associated with each capture using Microsoft's UltraMap software suite. The calibrated images were saved in TIFF format for input to subsequent processes. Photo position and orientation were calculated by linking the time of image capture, the corresponding aircraft position and attitude, and the smoothed best estimate of trajectory (SBET) data in POSPAC. Within the Inpho software suite, automated aerial triangulation was performed to tie images together and to align with ground control. The orthophotos were delivered in 5.875 USGS tiles with a 8'' pixel resolution. This survey was flown in conjunction with the DCPP Senior Seismic Hazard Analysis Committee (SSHAC) Level 8 process and as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial Lidar data, DEM and orthophotography raster data are available for this area:. 59 square kilometers). (WSI) collected Light Detection and Ranging (Lidar) data across the project area from 67 March 7566 to 86 March 7566.

The lidar survey utilized a Leica ALS65 sensor in a Cessna Caravan. The Leica system was set to acquire 655,955 laser pulses per second (i. , 655. 9 kHz pulse rate) and flown at 955 meters above ground level (AGL), capturing a scan angle of 69 676 from nadir when clouds and terrain permitted.

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