gov.noaa.nmfs.inport:49824 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 15N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6344/export/?format=gmlurn:ogc:def:crs:EPSG:63446.18.3 2013 MDEQ-FEMA Rankin-Simpson Co. Lidar Survey ms2013_mdeq_fema_rankinsimpson_m2595_metadata 2013-11-23 publication NOAA/NMFS/EDM 49824 https://www.fisheries.noaa.gov/inport/item/49824 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download Fugro as a subconsultant to MGI was authorized to undertake this project, as a part of Work Order No. 112, dated November 1, 2012, issued to MGI in accordance with the terms and conditions of the Professional Services Agreement between MGI and the Mississippi Department of Environmental Quality (MDEQ), dated February 17, 2004. This Light Detection and Ranging (LiDAR) dataset is a survey of the Middle Pearl-Strong River Basin in Rankin and Simpson Counties, Mississippi. The project area consists of approximately 973 square miles. 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. The acquisition, processing, and delivery of classified point cloud data, LiDAR intensity data, hydro-flattened breaklines, and bare earth DEM covering Middle Pearl-Strong River Basin, MS was a coordinated effort between Fugro and MGI to support MDEQ's Mississippi Digital Earth Model (MDEM) program. The mission of MDEQ is to safeguard the health, safety, and welfare of present and future generations of Mississippians by conserving and improving our environment and fostering wise economic growth through focused research and responsible regulation. 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 asNeeded https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2595/supplemental/ms2013_mdeq_fema_rankinsimpson.kmz This graphic shows the extent of the Rankin-Simpson County area survey. kmz Bare Earth Ground Control Land Surface Light Detection and Ranging Point Cloud theme Winter lead off temporal Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-04-19 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2013 MDEQ-FEMA Rankin-Simpson Co. Lidar Survey [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49824. 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 2025-04-19 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-04-19 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 2025-04-19 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of the following: MDEQ, Fugro, NOAA, the Office for Coastal Management, or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 49824 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49824.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 -90.2566139 -89.7281777 31.9160127 32.5947464 | Currentness: Ground Condition 2013-01-06 | Currentness: Ground Condition 2013-01-07 | Currentness: Ground Condition 2013-01-31 | Currentness: Ground Condition 2013-02-01 A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2595/supplemental/ms2013_mdeq_fema_rankinsimpson.kmz The Fugro Earthdata reports for Rankin-Simpson County lidar collection are available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2595/supplemental/ms2013_mdeq_fema_rankinsimpson.pdf & https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2595/supplemental/ms2013_mdeq_fema_rankinsimpson_accuracy.pdf 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=2595 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/geoid18/2595/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Horizontal Positional Accuracy LiDAR data horizontal accuracy is met as contracted.; Quantitative Value: 1.0 meters, Test that produced the value: Horizontal Accuracy was not reported as tested. Vertical Positional Accuracy See accuracy assessment report at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2595/supplemental/ms2013_mdeq_fema_rankinsimpson_accuracy.pdf ; Quantitative Value: 0.08 meters, Test that produced the value: Accuracy assessed on 20130613. Based on the vertical accuracy testing conducted by Fugro Earthdata were able to determine vertical accuracy RMSE of 18.5 cm. Vertical accuracy tested at 95% confidence interval to be 0.27 survey ft. (8.2 cm) under NSSDA calculation standards. Completeness Measure Cloud Cover: 0 Completeness Report All data is complete to standards as specified. LIDAR raster data is visually inspected for completeness to ensure that any gaps between flight lines of required collection area. LIDAR is self-illuminating and has minimal cloud penetration capability. Water vapor in steam plumes or particulates in smoke may cause reflection of LIDAR signals and loss of elevation information beneath these plumes. Glass structures and roofs may appear transparent to the LIDAR signal and therefore may not register on the reflective surface. Conceptual Consistency LiDAR flight lines have been examined to ensure that there was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. The technician processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. The technician used commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift- mini project. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the result and made any necessary additional adjustment until it is acceptable for the mini project. Once the boresight angle calculation is complete for the mini project, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technician utilized commercial and proprietary software packages to analyze the matching between flight line overlaps for the entire lift to ensure that systematic errors are minimized for the lift and the results meet project requirements. Once all lifts are completed with boresight adjustment individually, the technician checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The technician ran a final vertical accuracy check of the boresighted flight lines against the surveyed ground control points after the z correction to ensure the accuracy requirement of 18.5cm RMSE was met; see Attachment B: Accuracy Assessment Report for results. Pre-processing. Once boresighting is complete for the project, the project was set up for automatic classification first. The LiDAR data was cut to production tiles. The flight line overlap points, Noise points and Ground points were classified automatically in this process. 2013-06-13T00:00:00 Post-processing. Fugro has developed a unique method for processing LiDAR data to identify and re-classify elevation points falling on vegetation, building, and other above ground structures into separate data layers. The steps are as follows: Fugro utilized commercial software as well as proprietary software for automatic filtering. The parameters used in the process were customized for each terrain type to obtain optimum results. Once the automated filtering was completed, the files were run through a visual inspection to ensure that the filtering was not too aggressive or not aggressive enough. In cases where the filtering was too aggressive and important terrain features were filtered out, the data was either run through a different filter within local area or was corrected during the manual filtering process. Interactive editing was completed in visualization software which provides manual and automatic point classification tools. Fugro utilized commercial and proprietary software for this process. Vegetation and artifacts remaining after automatic data post-processing were reclassified manually through interactive editing. The hard edges of ground features that were automatically filtered out during the automatic filtering process were brought back into ground class during manual editing. The technician reviewed the LiDAR points with color shaded TINs for anomalies in ground class during interactive filtering. All LAS tiles went through peer review after the first round of interactive editing was finished. This helps to catch misclassification that may have been missed by the interactive editing. After the manual editing and peer review, and finalization of bare earth filtering, all tiles went through another final automated classification routine. This process ensures only the required classifications are used in the final product (all points classified into any temporary classes during manual editing were then re-classified into the project specified classifications). The classified LiDAR point cloud work tiles went through a water classification routine based on the collected water polygons. Also, during this process, the points originally classified as flight line overlap went through an automated classification to filter ground points and low points inside overlap areas. 2013-06-13T00:00:00 The NOAA Office for Coastal Management (OCM) received topographic files in .laz format from the Mississippi Department of Environmental Quality (MDEQ). The files contained lidar elevation measurements. The data were received in Mississippi State Plane West 2302, NAD83 coordinates and were vertically referenced to NAVD88 using the Geoid12a model. The vertical units of the data were feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The topographic laz files were converted from a Projected Coordinate System (Mississippi State Plane West 2302) to a Geographic Coordinate system (NAD83). 2. The topographic laz files' horizontal units were converted from feet to decimal degrees. 3. The topographic laz files were cleaned of erroneous bad elevations. 4. The topographic laz files' were converted from NAVD88 elevations to NAD83 ellipsoidal elevations using Geoid12a 5. Classification 11 was moved to classification 12 due to OCM system requirements (OCM class 11 is reserved for bathymetric points, though these points are truly overlap points, Class 12). 2013-11-23T00:00:00 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2025-04-19NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor