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2024 IN DNR Lidar: Indiana Coastline
Original Product: These lidar data are processed Classified LAS 1.4 files, formatted to 2139 individual 1250 ft x 1250 ft tiles clipped to the DPA; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Original Dataset Geographic Extent: Cook county, Illinois; Lake, LaPorte, and Porter counties, Indiana; and Berrien county, Michigan; covering approximately 120 square miles. Original Dataset Description: The lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification. The data was developed based on a horizontal projection/datum of NAD83(HARN), Indiana West Feet, and vertical datum of NAVD88 (GEOID18) Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 2139 individual 1250 ft x 1250 ft tiles clipped to the DPA, as tiled Intensity Images and tiled bare-earth DEMs; all tiled to the same 1250 ft x 1250 ft schema. Original Dataset Ground Conditions: Lidar was collected in April 2024, while no snow was on the ground and rivers were at or below normal levels. Sanborn Map Company, Inc. established a total of 25 accuracy check points, 20 in Bare Earth and Urban landcovers (20 NVA points), 5 in Tall Grass and Brushland/Low Trees categories (5 VVA points), that were used to assess the vertical accuracy of the data. This dataset was provided to the NOAA Office for Coastal Management (OCM) by the Indiana Dept. of Natural Resources to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.
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2018 - 2020 NOAA USGS Lidar: Hawaii, HI
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Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii. Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2020 Revision A. The data was developed based on a horizontal datum/projection of NAD83 (PA11) UTM Zone 5N Meters (EPSG 6635) and a vertical datum of NAVD88 (GEOID12B) Meters. Lidar data was delivered as processed LAS 1.4 files formatted to 8,629 individual 1,000-meter x 1,000-meter tiles. Ground Conditions: Lidar was collected from January 30, 2018 through January 6, 2020 by Leica Geosystems, Inc. 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, Woolpert established 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected by NOAA and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This dataset has been noted to have issues with ground classification in areas of dense vegetation. Please read the data use constraints section for further details.
2024 NOAA Lidar: AK Coastal Communities (Kachemak Bay)
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Original Product: Classified LAZ 1.4 files, formatted to 2,298 individual 750m x 750m tiles covering the NOAA AK Communities 2023 project area. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 286,327 acres of Southwest Alaska. Original Dataset Description: The NOAA AK Communities 2023 Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2023, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 12b vertical datum. Data was projected in UTM Zone 5N, Meters. Lidar data was delivered as calibrated and classified LAZ 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 43 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 19 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.269 with the Riegl VQ-780ii-S and 0.298 with the Riegl 1560iiS using all valid first return points. Derived products include: Intensity Imagery, Hydro-flattened Bare Earth Digital Elevation Models (DEMs), Maximum Surface Height Rasters (MSHRs), and 3D waters edge breaklines. Ground Condition: Ground conditions contained snow at high elevations and acquisition occurred free of smoke, fog and cloud cover
2023 NOAA Topbathy Lidar DEM: Whitefish Point Lake Superior, MI
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The Digital Elevation Model includes the grounded classes of class 2, 40, and 43. This raster is tiled out into 23 5000 m x 5000 m tiles. The project AOI covers approximately 161.5 square kilometers, and includes the area from Whitefish Point to Bay Mills, MI in Eastern Lake Superior, the eastern portion of which falls within and EPA's St. Marys River area of concern.
2023 NOAA USGS Lidar: Hawaii (Big Island)
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Original Dataset Product: Processed, classified lidar point cloud data tiles in LAZ 1.4 format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_3: The work unit covers approximately Approximately 306 square miles on the eastern side of the big island of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_3 (Big Island) The HI_NOAAMauiOahu_3_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 5 (EPSG 6635), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 3,450 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_3 (Big Island) Lidar was collected from February 14, 2023, through March 15, 2023 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, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
2018-2020 HI Hawaii Island Lidar Hydro-Flattened Bare-Earth DEM
공공데이터포털
Product: 1-meter bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format. Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii. Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2020 Revision A. The data was developed based on a horizontal datum/projection of NAD83 (PA11) UTM Zone 5N Meters (EPSG 6635) and a vertical datum of NAVD88 (GEOID1B) Meters. DEM data was delivered as Geo files formatted to 8,629 individual 1,000-meter x 1,000-meter tiles. Ground Conditions: Lidar was collected from January 30, 2018 through January 6, 2020 by Leica Geosystems, Inc. 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, Woolpert established 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 0 independent accuracy checkpoints (0 NVA points and 0 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. Areas near cliffs with dense vegetation may have poor interpolations over voids. Please see the data use constraints section.
2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR
공공데이터포털
In April 2019, Quantum Spatial (QSI) was contracted by The National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM) in partnership with the Great Bay National Estuarine Research Reserve (GBNERR) to collect high resolution Light Detection and Ranging (LiDAR) data in the spring of 2019 for four research sites within the GBNERR in New Hampshire. These four sites are “Sentinel Sites” within the GBNERR where vegetation and elevation parameters have previously been continuously monitored and surveyed using traditional methods that require extensive person hours and manual labor. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.
2023 NOAA USGS Lidar DEM: Hawaii (Big Island)
공공데이터포털
Original Dataset Product: 0.5-meter bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_3: The work unit covers approximately Approximately 306 square miles on the eastern side of the big island of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_3 (Big Island) The HI_NOAAMauiOahu_3_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 5 (EPSG 6635), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. DEM data was delivered as processed GeoTIFF files formatted to 3,450 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_3 (Big Island) Lidar was collected from February 14, 2023, through March 15, 2023 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, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
2024 NOAA Lidar: AK Coastal Communities (Eek, Goodnews Bay, Nelson Lagoon, Quinhagak, Togiak)
공공데이터포털
Original Product: Classified LAZ 1.4 files, formatted to 825 individual 750m x 750m tiles covering the NOAA AK Coastal Communities 2023 project area. Original Dataset Geographic Extent: This dataset and derived products encompass five areas covering approximately 92,475 acres of Southwest Alaska. Original Dataset Description: The NOAA AK Communities 2023 Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2023, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 12b vertical datum. Data was projected in UTM Zone 4N, Meters. Lidar data was delivered as calibrated and classified LAZ 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 101 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 26 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.269 with the Riegl VQ-780ii-S and 0.298 with the Riegl 1560iiS using all valid first return points. Derived products include: Intensity Imagery, Hydro-flattened Bare Earth Digital Elevation Models (DEMs), Maximum Surface Height Rasters (MSHRs), and 3D waters edge breaklines. Ground Condition: Ground conditions were free of snow and acquisition occurred free of smoke, fog and cloud cover.
2016 NOAA NGS Topobathy Lidar DEM: Boca Grande, FL
공공데이터포털
These data were collected by NOAA using a Riegl VQ880G sensor. The data were acquired from May 11, 2016 through May 14, 2016. The data includes topobathy data in LAS 1.2 format classified as created, unclassified (1); ground (2); noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27); International Hydrographic Organization S-57 object, not otherwise specified (30); in accordance with project specifications. The project consists of approximately 85 square miles of data along the shores of Boca Grande. This dataset contains 1,053 500 m x 500 m lidar tiles.
2024 NOAA Lidar DEM: AK Coastal Communities (Kachemak Bay)
공공데이터포털
Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Communities 2025 project area. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 286,327 acres of Southwest Alaska. Original Dataset Description: Lidar flight line swaths were processed to create 2,299 classified LAZ 1.4 files delineated in 750m x 750m tiles. Each LAZ file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 2,299 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 43 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 19 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAZ files, intensity images, maximum surface height rasters, and 3D breaklines of water bodies within the study area. Ground Condition: Ground conditions contained snow at high elevations and acquisition occurred free of smoke, fog and cloud cover