gov.noaa.nmfs.inport:49799 eng UTF8 dataset OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) NAD83(2011) / UTM zone 16N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6345/export/?format=gmlurn:ogc:def:crs:EPSG:63456.18.3 2010 ARRA Lidar: 4 Southeast Counties, MI mi2010_arra_4_county_se_m5019_metadata 2016-04-13 publication NOAA/NMFS/EDM 49799 https://www.fisheries.noaa.gov/inport/item/49799 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5019/breaklines/index.html WWW:LINK-1.0-http--link Breaklines Link to the breaklines. download TASK NAME: Southeast Michigan LiDAR LiDAR Data Acquisition and Processing Production Task- Monroe, St. Clair, Macomb, and Livingston Counties SEMCOG CONTRACT: 2009-009 Woolpert ORDER NUMBER: 70398 CONTRACTOR: Woolpert, Inc. LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies.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. This data was collected at a resolution of one and one half point point per square meter. The final products include first, last, and at least one intermediate return LAS, a bare earth model, and intensity data in separate files. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. This task order consisted of LiDAR data acquisition and processing for Livingston, Monroe, St. Clair, and Macomb Counties in southeastern Michigan. The task order area of interest encompasses approximately 2,351 square miles. The task required the LiDAR data to be collected at a minimum of one and one half (1.5) point per square meter (1.5 meter GSD). The LiDAR data was collected to meet a vertical accuracy requirement of 15.0 cm (0.49 ft) RMSE, or better, so that when combined with breaklines, the data adequately supports the generation of two (2) foot FEMA compliant contours. The final LiDAR data was delivered as 5,000' x 5,000' tiles, aligned to even 5,000' coordinates. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5019/supplemental/mi2010_arra_4_county_se_m5019.kmz This graphic shows the lidar coverage for the 2010 Michigan ARRA Lidar collection for Monroe, Saint Clair, Livingston and Macomb counties. kmz 2010 April March temporal Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-06-20 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2010 ARRA Lidar: 4 Southeast Counties, MI [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49799. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-06-20 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-06-20 from the NOAA system. Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. These data depict the heights at the time of the survey and are only accurate for that time. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-06-20 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Woolpert, USGS, NOAA, the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 49799 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49799.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation -84.17482 -82.37929 41.706227 43.187972 | Currentness: Ground Condition 2010-03-22 | Currentness: Ground Condition 2010-03-23 | Currentness: Ground Condition 2010-03-24 | Currentness: Ground Condition 2010-03-25 | Currentness: Ground Condition 2010-03-26 | Currentness: Ground Condition 2010-03-27 | Currentness: Ground Condition 2010-03-29 | Currentness: Ground Condition 2010-03-30 | Currentness: Ground Condition 2010-03-31 | Currentness: Ground Condition 2010-04-01 | Currentness: Ground Condition 2011-09-13 A footprint for this project is available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5019/supplemental/mi2010_arra_4_county_se_m5019.kmz A report was listed as delivered with the dataset though this was not received by OCM. false eng false none NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5019 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5019/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy The LiDAR collected for this task order was collected at a vertical accuracy of 15.0 cm (0.49 ft) Root Mean Squared (RMSE), or better, so that when combined with breaklines, it will adequately support the generation of two (2) foot FEMA compliant contours. | Quantitative Value: 0.15 | Quantitative Test Explanation: Points measured will produce an error less than 15.0 cm (0.49 ft) RMSE. Horizontal Positional Accuracy Horizontal accuracy is +/- 3.8-foot at the 95% confidence level using RMSE(r) x 1.9600 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA.; Quantitative Value: 0.38 meters, Test that produced the value: LiDAR system calibration is available in the project report. 3.8 cm (0.38 m) Vertical Positional Accuracy The LiDAR data vertical accuracy RMSE is 3.96 cm (0.13 ft). The data collected under this Task Order meets the National Standard for Spatial Database Accuracy (NSSDA) accuracy standards. The NSSDA standards specify that vertical accuracy be reported at the 95 percent confidence level for data tested by an independent source of higher accuracy. The Fundamental Vertical Accuracy (FVA) of the TIN: 3.96 cm (0.13 ft) at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 18.5 cm in the "open terrain" land cover category. The Consolidated Vertical Accuracy (CVA): 21.0 cm (0.69 ft) at a 95% confidence level, derived according to NSSDA, Vertical Accuracy Reporting for LiDAR Data, i.e., based on the 95th percentile error in all land cover categories combined. The Supplemental Vertical Accuracy (SVA): 32 cm (1.05 ft) at a 95% confidence level, derived according to NSSDA, Vertical Accuracy Reporting for LiDAR Data, i.e., based on the 95th percentile error in "heavy brush" land cover category. The Supplemental Vertical Accuracy (SVA): 16.4 cm (0.54 ft) at a 95% confidence level, derived according to NSSDA, Vertical Accuracy Reporting for LiDAR Data, i.e., based on the 95th percentile error in "urban" land cover category. ; Quantitative Value: 0.04 meters, Test that produced the value: 4.04 cm (0.13 ft), Tested 7.92 cm (0.26 ft) vertical accuracy at 95 percent confidence level. Completeness Report The LIDAR data is visually inspected for completeness to ensure that are no gaps between flight lines. Conceptual Consistency All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery. Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 130 flight lines of high density data, one and one half point per square meter, were collected over Livingston, Monroe, St. Clair, and Macomb counties (approximately 2,351 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of thirteen missions were flown over a 10 day period: March 22, 2010 through April 1, 2010. A minimum of two airborne global positioning system (GPS) base stations were used in support of the LiDAR data acquisition. 62 ground control points were surveyed through static methods. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid03. All data for the task order is referenced to Michigan State Plane South Zone (2113), NAD83/2007, NAVD88, in international feet. Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The coverage was classified to extract a bare earth digital elevation model (DEM) and separate last returns. Two layers of coverage were delivered in the ArcINFO ArcGrid binary format: bare-earth and intensity. System Parameters: - Type of Scanner = LH Systems ALS50 - Data Acquisition Height = 7,800-feet AGL - Scanner Field of View = 40 degrees - Scan Frequency = 35.3 Hertz - Pulse Repetition Rate - 99.0 Kilohertz - Aircraft Speed = 130 Knots - Swath Width = 5,678-feet - Number of Returns Per Pulse = Maximum of 4 - Distance Between Flight Lines = 3,974-feet 2010-04-14T00:00:00 The ALS50 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles. 2010-09-17T00:00:00 Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. 2010-09-17T00:00:00 The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogeneous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined bare-earth points (Class 2), Noise (Class 7), Water (Class 9) Ignored ground (Class 10) and unclassified data (Class 1). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset. 2010-09-17T00:00:00 The NOAA Office for Coastal Management (OCM) received the files in laz format from USGS via an FTP online repository. The files contained lidar elevation and intensity measurements. The data were in State Plane Zone 2113, NAVD88 (orthometric) heights in (international) feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from State Plane coordinates in International Feet to geographic coordinates in decimal degrees. 2. Erroneous elevations were removed. 3. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 03. 2015-03-10T00:00:00 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2025-06-20NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor