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Idaho Lidar Consortium (ILC): St. Joe National Forest
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.
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2022 OGRIP Lidar DEM: Wood County, OH
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This task is for a high-resolution data set of lidar covering the entire Wood County area (+/- 621.4 sq. mi). The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.25 meter (16ppsm). Lidar data is a remotely sensed high resolution elevation data collected by a Leica City Mapper digital sensor active scanning (lidar) sensor. Lidar was collected on March 21 2022, and March 22, 2022 while no snow was on the ground, leaf-off and rivers were at or below normal levels. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The data was developed based on a horizontal datum/projection of NAD 83(HARN) State Plane Ohio North FIPS 3401 and a vertical datum of NAVD88 in units of US Survey Feet. Lidar data was delivered as processed LAS version 1.4 files formatted to 11,524 individual 1,250' x 1,250' tiles. This dataset was downloaded by the NOAA Office for Coastal Management (OCM) from the Ohio Geographically Referenced Information Program (OGRIP) to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.
LiDAR Data, DEM, and Maximum Vegetation Height Product from Southern Idaho, 2014
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This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site.
CALIPSO Lidar Level 1B profile data, V4-10
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CAL_LID_L1-Standard-V4-10 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 1B profile data, Version 4-10 data product. This data product was collected using the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) instrument. Data collection for this product is ongoing. The highest quality data products, generated by the Data Management System (DMS), are referred to as Standard data products. These products have a 2-4 day latency to incorporate the global meteorological and other reference products. Night and Day orbit segments are written to separate data files. A full set of browse images, including orbit track maps, are generated and posted to the science data web site. Standard data products are recommended for research studies and journal publications. The lidar Level 1B data product contains a half orbit (day or night) of calibrated and geolocated lidar profiles. The product contains data from all non-diagnostic instrument modes including nominal science, depolarization gain ratio calibration, and boresight alignment. The lidar Level 1B product contains additional data not found in the Level 0 lidar input file, including post processed ephemeris data, celestial data, and converted payload status data. CALIPSO was launched on April 28, 2006 and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate . It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.
CALIPSO Lidar Level 1B profile data, V4-51
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CAL_LID_L1-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 1B profile data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The CALIOP Level 1B data product contains a half orbit (day or night) of calibrated and geolocated single-shot (highest resolution) lidar profiles, including 532 nm and 1064 nm attenuated backscatter and depolarization ratio at 532 nm. The product released contains data from nominal science mode measurements.
GRIP LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1
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The GRIP Lidar Atmospheric Sensing Experiment (LASE) dataset was collected by NASA's Lidar Atmospheric Sensing Experiment (LASE) system, which is an airborne Differential Absorption Lidar (DIAL) system used to measure water vapor, aerosols, and clouds throughout the troposphere. LASE is onboard the NASA DC-8 aircraft and probes the atmosphere using lasers to transmit light in the 815-nm absorption band of water vapor. Pulses of laser light are fired vertically below the aircraft. A small fraction of the transmitted laser light is reflected from the atmosphere back to the aircraft and collected with a telescope receiver. The received light indicates the amount of water vapor along the path of the laser beam. LASE operated in the Genesis and Rapid Intensification Processes (GRIP) experiment with data spanning between August 13, 2010 through September 25, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.