50024 swfwmd_north_m65_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2007-01-05 This data set is one component of a digital terrain model (DTM) for the Southwest Florida Water Management District's FY2006 Digital Orthophoto (B089) and LiDAR Project (L470/L471), encompassing approximately 1,216 square miles across Citrus and Sumter counties. The 2006 LiDAR dataset is comprised of 3-D masspoints delivered in the LAS file format based on the District's 5,000' by 5,000' grid (1,356 cells). The other DTM component is 2-D and 3-D breakline features in the ESRI ArcGIS Personal Geodatabase format. In accordance with the 2006 SWFWMD Topographic Database Design, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 3-D polygons; linear hydrographic features (streams, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 3-D linear features; edge of pavement road features as 3-D breakines; soft features (ridges, valleys, etc.) as 3-D breaklines; obscured vegetation polygons as 2-D polygons; overpasses and bridges as 3-D breaklines; 1-foot contours for visualization purposes; and island features as 3-D polygons. This data falls in Citrus and Sumter Counties. Intensity values, or the measure of reflectance of the laser are also captured. Breakline features were captured to develop a hydrologically correct DTM. Contours (1-foot) were generated from the DTM that meet the National Map Accuracy Standards for 2-foot contours (FEMA specifications). Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas Original contact information: Contact Name: Mapping and GIS Section Contact Org: Southwest Florida Water Management District Phone: 352.796.7211 The DTM was developed to support the DISTRICT's regulatory, land management and acquisition, planning, engineering, and habitat restoration projects 10668 Project Title: FY2006 Digital Orthophoto (B089) and LiDAR Project (L470/L471) Purchase Order: 06PCSOW0471 Work Order Name: North District Ortho and LiDAR - Work Order 1 Vendor Name: Woolpert, Inc Theme ISO 19115 Topic Category elevation Theme Surface Theme Terrain Office for Coastal Management Charleston SC Data Set As Needed Any conclusions drawn for the analysis of this information are not the responsibility of the Office for Coastal Management or it's partners. Data Steward 2007-01-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2007-01-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2007-01-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2007-01-05 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource date of collection -82.73904 -81.9411 29.06432 28.29512 Discrete 2006-03-05 Yes Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer ; None Users should be aware that temporal changes may have occurred since this data 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 it's limitations. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=65 Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/65/index.html Bulk Download Simple download of data files. https://coast.noaa.gov Online Resource https://coast.noaa.gov/dataviewer Online Resource 2016-05-23 Date that the source FGDC record was last modified. 2017-11-14 Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2018-02-08 Partial upload of Positional Accuracy fields only. 2018-03-13 Partial upload to move data access links to Distribution Info. The intended hroizontal accuracy is consistent with features on digital orthophotographs that meet National Map Accuracy Standards at a scale of 1:1200. 3.6 feet horizontal accuracy at the 95% confidence level, not tested. The intended vertical accuracy of this project is 0.59-feet (95% confidence level) vertical. RMSE= 0.3 feet for unobscured points, not tested. Cloud Cover: 0 All elevation measurements within the bounding coordinates of this XML were used to derive this dataset. The LiDAR DTM was developed in accordance with the 2006 SWFWMD LiDAR specifications. The DTM is intended to support 2-foot contours, and the vertical accuracy of ground points in unobscured areas is 0.3-feet RMSE. FY2006 Digital Orthophoto (B089) and LiDAR Project (L470/L471) 2007-01-07 Discrete 2007-01-05 Unknown | Source Geospatial Form: model | Type of Source Media: Unknown 1 The LiDAR data was acquired using a Leica ALS50 from an altitude of 2,400' above ground level to provide an nominal ground sample distance of 2.4-feet. The scanner field of view was 28-degrees, and the scan rate was 46-hertz. First and last return data was collected along with the signal return intensity. A total of 278 flights of LiDAR data were acquired. Flight lines were flown with a 30% sidelap, providing a line-to-line swath width of 957-feet. Thirty (30) Two redundant airborne GPS bases stations were utilized during the data acquisition with maximum line-of-sight distance between the base station and aircraft of 20-km. The LiDAR data was reduced using Grafnav (Waypoint Consulting) for GPS post-processing, PosProc (Applanix Crop) for IMU processing, ALS50 Post Processor (LH Systems) to initial LiDAR processing, TerraScan (Terrasolid) for initial point classification, and proprietary Woolpert developed software for refining the point classification and QC. The LAS files contain 5 classifications: 1 = unclassified; 2 = ground; 9 = water; and 10 = photogrammetric mass points and 11=swamp/wetland points. The class 1 consists of all points not on the ground. Class 2 consists of bare earth points. Class 9 points are those points falling within lake/pond polygons. Class 10 consists of supplementary mass points that were photogrametrically compiled on points features suchs as peaks or pits, and they were created to maintain the accuracy of the DTM. Class 11 consists of points within swamps and/or wetlands polygons classified as ground. For a complete description of survey methods, processing methods, software, system parameters, and accuracy analysis, see the Florida MTS Report of Specific Purpose Survey, North District LiDAR DTM Project (L470/L471), dated January 2007. 2007-01-05T00:00:00 2 Metadata imported. 3 The NOAA Office for Coastal Management (OCM) received the the files in LAS format. The files contained Lidar elevation measurements. The data was in Florida State Plane Projection and NAVD88 vertical datum. OCM performed the following processing to the data to make it available within the Digital Coast Data Access Viewer (DAV): 1. The data were converted from Florida State Plane West coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid03. 3. The LAS data were sorted by latitude and the headers were updated. 2008-01-01T00:00:00 gov.noaa.nmfs.inport:50024 Anne Ball 2017-11-15T15:23:49 SysAdmin InPortAdmin 2022-08-09T17:11:37 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16