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Idaho Lidar Consortium (ILC): Moscow Mountain
This is collection level metadata for LAS files collected by USDA - Forest Service as a part of a larger project to use Lidar for forestry application. The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, South Dakota. Lidar instrument was flown with Leica ALS40 over the period of Aug, 13-14, 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). 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 32708 hectares in Moscow Mountain, Moscow, north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.
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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.
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.
USFS Road46 Lidar, CA 2013
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Lidar was collected for the Road 46N02-Modoc area of California between October 4th - 5th 2013 for the USFS Pacific Region. Data was collected 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 13,000 acres ( over 55 km2)
USFS Mule Lidar, CA 2012
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Lidar was collected over the Mule Project Site of California on October 15th 2012 for the USFS Pacific Region. Data was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 11,000 acres ( over ~46 km2)
LiDAR Boundary: Camas National Wildlife Refuge
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This dataset represents the LiDAR boundary for the Camas National Wildlife Refuge in Jefferson and Clark County, Idaho. This data is projected into Idaho State Plane East, U.S, Survey Feet The purpose of this data is to provide support for high resolution LiDAR data