Light Detection and Ranging (LiDAR) datasets for Sunset Crater Volcano National Monument. LiDAR data over Sunset Crater Volcano National Monument include Bare Earth Model, DEM, Highest Hit Model, Intensity Images, and LAS datasets. These data were collected as a project for the NPS in the Sunset Crater Volcano National Monument site in the fall of 2012. The Sunset Crater Volcano National Monument LiDAR project consisted of acquisition, post-processing, classification of LiDAR data and creation of final deliverable products. The goal of the project was to provide high accuracy bare-earth processed data suitable for the project area. All areas were collected with a Leica ALS50 Phase II mounted in a Cessna Caravan. There was an average pulse density of greater than or equal to 8 pulses/m squared over the Sunset Crater LiDAR terrain. All areas were surveyed with an opposing flight line side-lap of greater than or equal to 50 percent, a 100 percent overlap, to reduce laser shadowing and increase surface laser painting. The Leica laser systems record up to four range measurements, returns, per pulse. All discernible laser returns were processed for the output dataset. To accurately solve for laser point position, the geographic coordinates w, y, z, the positional coordinates of the airborne sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Position of the aircraft was recorded continuously throughout the LiDAR data collection mission. Position of the aircraft was measured twice per second (2Hz) by an onboard differential GPS unit. Aircraft attitude was measured 200 times per second (200Hz) as pitch, roll, and yaw (heading) from an onboard inertial measurement unit (IMU). To allow for post-processing correction and calibration, aircraft/sensor position and attitude data are indexed by GPS time. The data was processed in the office using a suite of automated and manual techniques to process the data into the requested deliverables. Processing tasks included GPS control computations, kinematic corrections, calculation of laser point position, calibration for optimal relative and absolute accuracy, and classification of ground and non-ground points. The full details can be found in the report attached as a digital holding.

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

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.

This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

A first surface/bare earth elevation map (also known as a Digital Elevation Model, or DEM) of the Gateway National Recreation Area's Sandy Hook Unit in New Jersey was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS), the National Park Service (NPS), and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed-laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be easily surveyed within a 3- to 4-hour mission. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Lidar was collected over Harris Mountain and Medicine Lake, California between October 6th and October 18th 2013 for the USFS Pacific Region. This dataset was collected in order to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 83,000 acres ( over 330 km2)

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Four basic elements were used to create the SUCR vegetation map: 1) map class development, 2) aerial photography interpretation, 3) digital transfer, and 4) map validation. Following these steps, a formal accuracy assessment determined errors of omission and commission with the goal of achieving a minimum of 80% map accuracy. An ArcInfo GIS database was built for SUCR using in-house protocols for creating vegetation GIS databases. The protocols consist of a shell of Arc Macro Language (AML) scripts and menus that automate the transfer process and insure that all spatial and attribute data are consistent and stored properly. We modified the map classes as a result of field verification and used the modified classes in the final photointerpretation. The final map revision was completed in September 2002.