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The 2015-2017 State of Utah Lidar Acquisition project includes portions of Bear Lake in Utah and Idaho, the Bear River, Cache Valley, Utah FORGE Project, Great Salt Lake, Minidoka National Wildlife Refuge (Idaho), Monroe Mountain, Utah Lake, Washington County, Washakie, Weber Valley, and the Whites Valley areas in Utah and the Colorado and Green River corridors in Utah. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.4.

Bathymetric LiDAR data from the upper Sacramento River in northern California were acquired September 10-17, 2017, to support research on remote sensing of rivers, particularly mapping water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected using a Riefl VQ-880-Gairborne laser scanning system designed for combined hydrographic and topographic surveying. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed all processing of the raw LiDAR data. The data were acquired from fixed wing aircraft and were used to produce tiled point clouds in a .las format and interpolated topo-bathymetric raster Digital Elevation Models (DEM's) with a 1 m cell size in an Arc GRID format. The rasters provided in this data release are subsets focused on the reach of the Sacramento River where it is joined by its tributary Cottonwood Creek; supporting field data from this reach were collected in coordination with the acquisition of the remotely sensed data. Three files based on the LiDAR coverage are included in this data release: 1) a topographic DEM with water surface elevations in the channel; 2) a bathymetric DEM with channel bed elevations; and 3) a depth map produced by subtracting the bathymetric DEM from the topographic DEM to calculate the depth as the difference between the water surface elevation and the bed elevation. These data sets are provided as ENVI format files with associated header files.

The Oregon Department of Administrative Services Geospatial Enterprise Office (DAS-GEO) contracted with Quantum Spatial, Inc. (QSI) in June 2019 to collect Light Detection and Ranging (LiDAR) data for the 2019 DAS-GEO Gilchrist LiDAR study area. This report summarizes the data collection and processing of the Gilchrist study area. A total of 192,686 acres of eight pulses per square meter (PPSM)...

This orthoimagery data set includes 0.5-foot (15-centimeter) 8-bit 4-band (RGBN) digital orthoimage tiles in GeoTIFF, Mr. SID, and JPEG 2000(JP2) format. The PEMA 2018 0.5-foot Orthoimagery called for the planning, acquisition, processing, and derivative products of imagery data to be collected at a ground sample distance (GSD) of 0.5-foot (15 centimeters). Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Ortho Specification, Version 1.0. The data were developed based on a horizontal projection/datum of NAD83 (2011) State Plane Pennsylvania, US Survey Feet. Orthoimagery data was delivered as 298 individual 0.5-foot (15-centimeter) 1" = 100' GeoTIFF (uncompressed) 10,000-foot x 10,000-foot (3,048-meter x 3,048-meter) tiles. Aerial photography was captured during the spring of 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the imagery data to meet task order specifications and meet horizontal accuracy guidelines, Quantum Spatial, Inc. utilized a total of 496 QC points throughout the Commonwealth of Pennsylvania to assess the horizontal accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This dataset contains leaf-off 4-band red, green, blue, infrared (RGBI) digital orthophoto imagery produced at 30-centimeter (approximately one-foot) resolution from new aerial photography captured in Spring 2013. The imagery covers Carlton, Clay, Itasca, Mille Lacs and Wilkin counties; Fond du Lac and White Earth reservations, and Camp Ripley military reservation in central and north-central Minnesota. Funding for this data was provided by the Minnesota Natural Heritage Fund, the Minnesota Clean Water Legacy Act, and The Environmental and Natural Resources Trust Fund. Counties and other non-state public entities named under 'Originator' contributed additional funding to increase the resolution of the imagery collect. This metadata record was created by the Minnesota Geospatial Information Office (MnGeo) using information supplied by Quantum Spatial, Inc. and the Minnesota Department of Transportation.

This orthoimagery data set includes 0.3 meter digital orthoimages in 8-bit 4-band (RGB-IR) GeoTIFF tiles. Geographic Extent: 3 counties in Maryland, covering approximately 535 total square miles. Dataset Description: The Chesapeake Bay NOAA Option 1 project called for the planning, acquisition, processing, and derivative products of imagery data to be collected at a ground sample distance (GSD) of 0.3 meter. Project specifications are based on the American Society of Photogrammetry and Remote Sensing (ASPRS) standards. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 18N, Meter. Imagery data were delivered as 0.3 meter 8-bit 4-band (RGB-IR) GeoTIFF tiles. Tiled deliverables contained 154 individual 3000 m x 3000 m tiles. Ground Conditions: Imagery was collected in fall 2018 and spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the imagery data to meet task order specifications and meet ASPRS horizontal accuracy guidelines, Quantum Spatial, Inc. utilized a total of 3 ground control points to assess the horizontal accuracy of the data. Conditions: Imagery was collected in fall 2018 and spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the imagery data to meet task order specifications and meet ASPRS horizontal accuracy guidelines, Quantum Spatial, Inc. utilized a total of 3 ground control points to assess the horizontal accuracy of the data.

Water Service Area 2018 - 3 inch Aerials for ArcGIS Online/Bing Maps/Google Maps, etc.Allow clients to export 100,000 cached tiles for offline use.Contact Info: Name: GIS Team Email: GISteam@cityoftacoma.orgCompany: Quantum Spatial, Inc.Flight Time Date Range:Beginning Date: 06/17/2018Ending Date: 07/15/2018Detailed Metadata (Internal use only)Original ArcGIS coordinate system: Type: Projected Geographic coordinate reference: GCS_North_American_1983_HARN Projection: NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet Well-known identifier: 2927Geographic extent - Bounding rectangle: West longitude: -122.597308 East longitude: -121.732097 North latitude: 47.347891 South latitude: 47.061812Extent in the item's coordinate system: West longitude: 1120428.000000 East longitude: 1333428.000000 South latitude: 637207.000000 North latitude: 737082.000000

Airborne hyperspectral image data from the upper Sacramento River in northern California were acquired on September 14, 2017 to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H, manufactured by ITRES Research Limited. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed the initial radiometric and geometric data processing. The data were acquired from fixed wing aircraft and have a spatial resolution (pixel sizes) of 0.5 m. The data set consists of 48 spectral bands spanning the visible and near infrared wavelength range from 0.373 - 1.043 micrometers. Atmospheric correction and reflectance retrieval were performed by QSI using the ATCOR4 software package. The image pixel values represent reflectance with a scale factor of 10,000 and are stored as 16-bit signed integers. The image data file has a band sequential (BSQ) interleave and is in an ENVI-compatible .bsq file format with an associated header (.hdr) text file. The image provided in this data release is a subset focused on the reach of the Sacramento River where it is joined by its tributary Cottonwood Creek. Supporting field data from this reach were collected in coordination with the acquisition of the remotely sensed data.

This is a collection level metadata record for Light Detection Ranging (LiDAR) data and derived products for the northern area of Coeur d'Alene in northern Idaho. Data were collected to aid the Kootenai Shore Soil and Water Conservation District, Idaho Water Resource Research Institute (University of Idaho), the Forestry Sciences Laboratory (USFS), and was funded by the Idaho EPSCoR project Managing Idaho's Landscape for Ecosystem Services (MILES) in assessing the topographic and geophysical properties of the study area. Data covers the Fernan (14,650.2 acres), Blue Creek (8,941.8 acres), and Wolf Lodge (8,402.5 acres) project areas. The lidar survey was conducted by vendor Quantum Spatial Inc. based in Corvallis OR. Lidar instruments Leica ALS70 & ALS80 were flown in a Cessna Grand Caravan aircraft on 12/14/2014 and 02/11/15 - 02/13/2015. The vertical accuracy of the dataset is 0.034 m (0.113 ft). and the line to line relative vertical accuracy is 0.019 m (0.069ft). This collection includes compressed LAS files (LAZ); rasters for bare earth at 1.0m resolution (13 ESRI rasters), highest hit at 1.0m resolution (13 ESRI rasters), intensity images at 0.5m resolution (13 GeoTIFFS); vectors for ground control points (3 shapefiles), study area and tile index (3 shapefiles), and smoothed best estimated trajectories for aircraft flights at one-second intervals (4 shapefiles). Each of these files is accompanied with its own xml metadata record which provide details about processing, quality, and use. In addition the final report provided by Quantum Spatial Inc. (pdf) is included in this collection and provides further details about the collection and processing of these data. For all these data the horizontal datum is NAD83 (2011), the vertical datum is NAVD88, Geoid12A, and it is projected in UTM Zone 11N and units are in meters.

This normalized digital surface model (nDSM) was part of a suite of datasets produced during a forest inventory enhancement research project, funded by the Environment and Natural Resources Trust Fund in 2016. The nDSM was produced at 1-m spatial resolution using high density lidar point cloud LAS files and USFS FUSION software. The source lidar was collected in October 2017 using single photon lidar (SPL; green laser) by Quantum Spatial Inc (QSI). There were on average 27.8 points per square meter.
An nDSM is a height above ground model, where every pixel represents the elevation of the highest lidar return among all lidar returns within the grid cell. The production of the nDSM involved two basic steps: 1) filtering ground returns (i.e., points that sit on top of the bare-earth) to create a ground surface model, and 2) subtracting the ground elevations from all other above ground lidar return elevations. Any elevation values less than zero and above 50-m were not included.
The information displayed here, summarizing the above ground height of a pixel, is even more useful with the picture. Accompanied by this lidar was four band aerial photography, also available by Web Mapping Service on the Minnesota Geospatial Commons. Having both height and visual information available, analysts and managers can strategically plan with data-driven results.

This dataset consists of 0.15-meter (approximately 0.5-foot) natural color orthoimages covering Washington County. Data were collected by Aero-Metric, Inc. (now Quantum Spatial).

This lidar data set includes unclassified swath LAS 1.4 files, classified LAS 1.4 files, breaklines, digital elevation models (DEMs), first return digital surface models (DSMs), and intensity imagery. Geographic Extent: Fourteen partial counties in Utah, covering approximately 7,005 total square kilometers; partial coverage of three counties covering approximately 182 square kilometers in the Minidoka QL1 AOI. This area is part of the Bear Lake / Cache Valley QL1 AOI. Dataset Description: The Utah 2016 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, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 12, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 215 individual 1,000 meter x 1,000 meter tiles; as tiled intensity imagery, as tiled bare earth DEMs, and as tiled first return DSMs all tiled a 2,000 meter x 2,000 meter schema (82 tiles). Continuous breaklines were produced in Esri shapefile format. Ground Conditions: Lidar was partially collected in fall of 2016, 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, Quantum Spatial, Inc. established a total of 28 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 5 independent accuracy checkpoints, 5 in Bare Earth and Urban landcovers (5 NVA points), 6 in the Shrubs and Tall Grass category (6 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This survey covers portions of Hawaii Volcano National Park on the Big Island of Hawaii. This dataset was contracted by the U.S. Geological Survey (USGS) via Quantum Spatial, Inc., and acquired by GEO1 and Windward Aviation. GEO1 conducted the collection activity using a Windward Aviation Hughes 500 helicopter with a dual LiDAR scanning system that utilized two Riegl VUX-SYS scanners operated as one unit. The dataset was acquired through 11 lifts, and comprises 4 distinct Areas of Interest (AOIs). The survey area covers 105 square kilometers. Dataset obtained from the USGS Kilauea LiDAR website. Please refer to that site for additional information.

No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record.

Geographic Extent: OLC Grass Valley Project Area, covering approximately 228,146 acres. Dataset Description: Quantum Spatial, Inc. (QSI) acquired and p...

This data set, acquired by Quantum Spatial, Inc., contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired on 20200829 with an UltraCam Eagle Mk3 sensor.

Product: This lidar data set includes classified LAS files, breaklines, digital elevation models (DEMs), intensity imagery, and contours. Geographic Extent: Four partial counties in western Maine, covering approximately 5,034 total square miles Dataset Description: Maine 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 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) UTM Zone 19, meters and vertical datum of NAVD1988 (Geoid 12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS files formatted to 6,115 individual 1,500 meter x 1,500 meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500 meter x 1,500 schema. Continuous breaklines were produced in Esri file geodatabase format. Continuous contours with an interval of 1 foot were created in Esri file geodatabase format. Ground Conditions: Lidar was collected in spring of 2016, 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, Quantum Spatial, Inc. utilized a total of 101 ground control points that were used to calibrate the lidar to known ground locations established throughout the Maine project area. An additional 205 independent accuracy checkpoints, 118 in Bare Earth and Urban landcovers (118 NVA points), 87 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (87 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs), at a 1 m grid spacing, created from the lidar point data are also available. These data are available for download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6267 Breaklines created from the lidar area also available for download in either gdb or gpkg format at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6264/breaklines The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners.

Purpose: To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1-meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.Product: These are Digital Elevation Model (DEM) data for Northern Maine as part of the required deliverables for the Crown of Maine 2018 QL2 LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1-meter hydro-flattened raster DEM.This lidar data set includes unclassified swath LAS 1.4 files, classified LAS 1.4 files, hydro and bridge breaklines, hydro-flattened digital elevation models (DEMs), and intensity imagery. Geographic Extent: 4 partial counties in Northern Maine, covering approximately 6,732 total square miles. Dataset Description: The Crown of Maine 2018 QL2 LiDAR project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.2. The data were developed based on a horizontal projection/datum of NAD 1983 (2011), UTM Zone 19, meters and vertical datum of NAVD 1988 (GEOID 12B), meters. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 8,056 individual 1,500-meter x 1,500-meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500-meter x 1,500-meter schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring of 2018 and 2019, 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, Quantum Spatial, Inc. utilized a total of 150 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 256 independent accuracy checkpoints, 149 in Bare Earth and Urban landcovers (149 NVA points), 107 in Tall Weeds categories (107 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

USGS Contract No. G10PC00025 CONTRACTOR: Quantum Spatial, Inc Ground Control Points were acquired and calibrated by Compass Data, Inc. All Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor. Geographic Extent: SANDY_Restoration_VA_MD_DC_QL2 Area of Interest covers approximately 2,002 square miles. Lot #5 contains the full project area

Dataset D...

To support research on remote sensing of rivers, specifically estimation of water depth from passive optical image data, hyperspectral image data and supporting depth measurements were collected on the Kootenai River in northern Idaho, September 27, 2017. This data release provides access to hyperspectral image acquired through this project and the supporting field-based measurements of depth and water column optical properties are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric data processing was performed by ITRES and yielded images with 0.5 m pixels for each of 48 spectral bands from 380-1050 nm. Although a large mosaic assembled from parallel, north-south strips covering a larger portion of the Kootenai River valley was collected as part of this project, this data release includes only a series of smaller subsets of this mosaic that focus on six sites where field measurements of water depth were collected with a multibeam echo sounder. The original images also were spectrally subset to 35 bands from 400 - 900 nm. The image data were radiometrically calibrated to spectral radiance units of μW cm-2 sr-1 nm-1 and formatted with 16-bit integers in a BIP intertleave. The resulting .dat and assocaited .hdr files are compatible with the ENVI software package. Overall, the images and related field data were used to develop, refine, and test techniques for estimating water depth from passive optical image data to support studies of in-stream habitat and geomorphic change and to facilitate various river management applications.