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2017 Countywide LiDAR Point Cloud
,Click here to access the data directly from the Illinois State Geospatial Data Clearinghouse.,These lidar data are processed Classified LAS 1.4 files, formatted to 2,117 individual 2500 ft x 2500 ft tiles; used to create Reflectance Images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Lake county, Illinois covering approximately 466 square miles. Dataset Description: WI Kenosha-Racine Counties and IL 4 County QL1 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a derived nominal pulse spacing (NPS) of 1 point every 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, U.S Survey Feet and vertical datum of NAVD88 (GEOID12B), U.S. Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 2,117 individual 2500 ft x 2500 ft tiles, as tiled Reflectance Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema. Ground Conditions: Lidar was collected April-May 2017, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Ayers established a total of 66 ground control points that were used to calibrate the lidar to known ground locations established throughout the WI Kenosha-Racine Counties and IL 4 County QL1 project area. An additional 195 independent accuracy checkpoints, 116 in Bare Earth and Urban landcovers (116 NVA points), 79 in Tall Grass and Brushland/Low Trees categories (79 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.,Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.,These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.,Link Source: Illinois Geospatial Data Clearinghouse,
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2017 Digital Terrain Model - SW Corner
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2017 Digital Terrain Model - SE Corner
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2017 Digital Terrain Model - NE Corner
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2017 Digital Terrain Model - NW Corner
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Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection
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This data collection of the 3D Elevation Program (3DEP) consists of Lidar Point Cloud (LPC) projects as provided to the USGS. These point cloud files contain all the original lidar points collected, with the original spatial reference and units preserved. These data may have been used as the source of updates to the 1/3-arcsecond, 1-arcsecond, and 2-arcsecond seamless 3DEP Digital Elevation Models (DEMs). The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Lidar (Light detection and ranging) discrete-return point cloud data are available in LAZ format. The LAZ format is a lossless compressed version of the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. Point Cloud data can be converted from LAZ to LAS or LAS to LAZ without the loss of any information. Either format stores 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of geo-referenced x, y coordinates and z (elevation), as well as other attributes for each point. Please refer to https://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information on the .LAS file format. All 3DEP products are public domain.
Northeastern Illinois (NEIL) Six County Airborne Lidar Validation Survey Data
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Airborne light detection and ranging (lidar) can provide high-quality topographic information over large areas. Lidar is an active remote sensing technology that employs laser ranging in near-infrared and green spectral wavelengths to provide three-dimensional (3D) point information for objects, including Earth’s surface, vegetation, and infrastructure. The U.S. Geological Survey (USGS) National Geospatial Program (NGP) 3D Elevation Program (3DEP) seeks to systematically acquire airborne topographic lidar for the conterminous U.S. (conus), Hawaii, and the U.S. territories. A series of field accuracy assessment surveys, using conventional surveying methods (i.e. total station and Global Navigation Satellite System (GNSS)) along with ground based lidar (GBL), were conducted at test sites in Northeastern Illinois (NEIL) to evaluate the 3D absolute and relative accuracy of airborne lidar acquired for 3DEP.
Northeastern Illinois (NEIL) Six County Airborne Lidar Validation Survey Data
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Airborne light detection and ranging (lidar) can provide high-quality topographic information over large areas. Lidar is an active remote sensing technology that employs laser ranging in near-infrared and green spectral wavelengths to provide three-dimensional (3D) point information for objects, including Earth’s surface, vegetation, and infrastructure. The U.S. Geological Survey (USGS) National Geospatial Program (NGP) 3D Elevation Program (3DEP) seeks to systematically acquire airborne topographic lidar for the conterminous U.S. (conus), Hawaii, and the U.S. territories. A series of field accuracy assessment surveys, using conventional surveying methods (i.e. total station and Global Navigation Satellite System (GNSS)) along with ground based lidar (GBL), were conducted at test sites in Northeastern Illinois (NEIL) to evaluate the 3D absolute and relative accuracy of airborne lidar acquired for 3DEP.
LAS dataset of LiDAR data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019
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This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019).
2007 DSM - Township 44N Range 9E
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,This dataset has been deprecated. Please use our 2017 Digital Elevation Models instead.,The Digital Surface Model (DSM) is a 3-foot pixel resolution raster in GeoTIFF format. This was created using all points (excluding NOISE) from our 2007 LiDAR data without incorporating the breaklines. Merrick and Co. MARS (ver. 8.0.4, build 8185) software was used to create the GeoTIFF images.,The DSMs were developed using LiDAR data. LiDAR is an acronym for LIght Detection And Ranging. Light detection and ranging is the science of using a laser to measure distances to specific points. A specially equipped airplane with positioning tools and LiDAR technology was used to measure the distance to the surface of the earth. The classified points were developed using data collected in April to May 2007. The LiDAR points, specialized software, and technology provide the ability to create a high precision three-dimensional digital elevation and/or terrain models (DEM/DTM) as well as digital surface models (DSM). The use of LiDAR significantly reduces the cost for developing this information.,The DSMs are intended to correspond to the orthometric heights of the surface of the county including above ground features such as buildings, vegetation cover, utility structures, vehicles ... etc. DSM data are used by county agencies and others to study drainage issues such as flooding and erosion; contour generation; slope and aspect; and hill shade images. Elevation data and models are used in several different ways including:,Visualization representations of the elevation data. Examples include:,- A hillshaded or shaded relief image,- An image representing slope,- An image representing aspect,Analysis of the elevation data and analytical products which can be generated. Examples include:,- Viewshed calculations for visibility and line-of-sight analysis,- Areas of highest Solar energy potential,- Uses in disaster management,- Industrial planning,- Calculation of cartographic contours,- Calculation of profiles along straight lines or line segments,These data are derived from other data sources, no accuracy measurements or tests were conducted. Primary use and intent for these data are for visualizations and topographic analysis. This dataset does not take the place of an on-site survey for design, construction or regulatory purposes.,
Soil Lines
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