High-resolution Lidar data (average first-return point density of 10 points m2 and 2-4 cm vertical accuracy) were obtained by NCALM for 121 km2 of the Christina River Basin Critical Zone Observatory (CRB-CZO) during both leaf-off (April 2010; see dataset CRB-10-Apr) and leaf-on (July 2010) periods. Data acquisition, ground-truthing, vegetation surveys and processing were funded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo) to collect similar data at all six CZOs for a variety of cross-site analyses, including calibration of algorithms to extract vegetation characteristics from the LIDAR point cloud data. The CRB-CZO is particularly interested in using this LIDAR dataset for high-resolution analyses of stream channel and floodplain geomorphology.

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

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. Clear Creek is part of the Intensively Managed Landscapes (ILM) Critical Zone Observatory (CZO). The requested survey area consisted of two rectangles - called East and West - enclosing approximately 204 square kilometers along with their associated watercourse corridors. The West rectangle is located 35 km NW of Iowa City, Iowa and the East rectangle is located 10 km NW of the same city. This survey was performed with 2 different LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) (available here) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM (this dataset) 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 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). Full waveform files are available via this link.

Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data of the Klamath River and associated riparian zones from Klamath Falls, Oregon to Happy Camp, California for Woolpert, Inc. Acquisition of the data occurred between February 27th and March 15th, 2010. The total deliverable area, including a 100 m buffer, is 107,547 acres. The LiDAR survey uses a Leica ALS60 laser system. For the Klamath River survey area, the sensor was set to yield an average native pulse density of > 8 points per square meter over terrestrial surfaces. Up to 4 range measurements are possible per pulse, and all discernible laser returns were processed for the output dataset. OCM received 1,039 LAZ files from the Oregon Lidar Consortium. The files were in California State Plane zone 1 projected coordinate system, NAD83 (HARN) and geoid09. No metadata came with this dataset; information in this record is derived from the accompanying project report, which is linked below. Additionally, bare-earth DEMs produced from this dataset are available for download, and are linked in the Related Items section below.

Airborne LiDAR data was acquired by CRREL on 21 August 2015 over Lake Isabella and the Lake Isabella Dam, California as part of a coincident regional study. These data were collected using an airborne laser scanning (ALS) system comprised of a Riegl Q680i full-waveform LiDAR sensor, an Applanix POS AV INS system, and custom designed hardware and aircraft integration components. The system was installed in a Partenavia P.68, with an average collection AGL of 2,600' and airspeed of 90 knots. A total of 19-flight-lines were collected during a single flight, with 50% overlap of laser swath coverage, given a 60 deg across track field-of-view.

These lidar data are derived from two airborne lidar surveys: a 2016 Los Angeles Region Imagery Acquisition Consortium (LARIAC) survey, and a 2019 National Center for Airborne Laser Mapping (NCALM) survey. These data were reclassified in order to improve the classification of ground points, and to make the classification of both datasets as consistent as possible. The NCALM data had their position shifted slightly to more closely align with the LARIAC data. The data are organized into two "Child Items": Reclassified lidar point clouds from 2016 LARIAC collection near Malibu, California and Reclassified lidar point clouds from 2019 NCALM collection near Malibu, California. The point clouds are available as ~1 square kilometer tiles with 25 m buffer overlaps to avoid edge effects in further processing. The naming convention includes the name of the original data collection and some reference UTM coordinates.

The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, Rapid City, South Dakota. Lidar instrument was flown in a Leica ALS40 on July 23, August 11 or September 22, 2003. The data were delivered in ascii format with information on return number, easting, northing, elevation and intensity for each return. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). This project is the data acquisition phase of an administrative study being done by Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. 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 St. Joe National Forest area consists of one contiguous block totaling ~ 55684 hectares in north central Idaho, between Deary and Clarkia. The project area consists of moderately variable topographic configurations with diverse vegetation components.

The lidar survey was conducted by vendor Spectrum Mapping LCC, a Lidar company. Lidar instrument Datis II sensor was flown over the period of 10 and 12 July 2004. The data were delivered in ASCII format (files separated by vegetation points and ground points) with information on X, Y, elevation, Return number, RGB and scan angle. 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 13234 hectares in Emerald Creek, St. Joe National Forest, Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.

High-resolution Lidar data were obtained by NCALM for 253 km2 of the Luquillo Critical Zone Observaotry (LCZO) in the Rio Mameyes, Rio Blanco watersheds and coastal zones, Puerto Rico. Due to weather, the data were collected over two campaigns in July 2010 and May 2011, covering the entire survey area. Data acquisition, ground-truthing, vegetation surveys and processing were founded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo) to collect similar data at all six CZOs for a variety of cross-site analyses, including calibration of algorithms to extract vegetation characteristics from the Lidar point cloud data.