20191017 15370900 1.0 FALSE Hillsborough_2017.img 445000.000122 640000.000122 1200000.000122 1400000.000122 1 002 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_2011_StatePlane_Florida_West_FIPS_0902_Ft_US <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS[&quot;NAD_1983_2011_StatePlane_Florida_West_FIPS_0902_Ft_US&quot;,GEOGCS[&quot;GCS_NAD_1983_2011&quot;,DATUM[&quot;D_NAD_1983_2011&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,656166.6666666665],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-82.0],PARAMETER[&quot;Scale_Factor&quot;,0.9999411764705882],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.33333333333333],UNIT[&quot;Foot_US&quot;,0.3048006096012192]],VERTCS[&quot;NAVD88_height_(ftUS)&quot;,VDATUM[&quot;North_American_Vertical_Datum_1988&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>137249422.94257641</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103023</WKID><LatestWKID>6443</LatestWKID><VCSWKID>105703</VCSWKID><LatestVCSWKID>6360</LatestVCSWKID></ProjectedCoordinateSystem> 32 FALSE None 1 IMAGINE Image TRUE continuous floating point -3.4028231e+38 20191024 08213600 20191024 08213600 FGDC CSDGM Metadata 2000 2000 Remote Sensing Department Dewberry 813-421-8635 1000 North Ashley Drive, Suite 801 Tampa FL 33602 8:00 a.m. to 5:00 p.m. 20190426 ArcGIS Metadata 1.0 Mapping and GIS Section Southwest Florida Water Management District (352) 796-7211 (352) 540-6018 2379 Broad Street (U.S. 41 South) Brooksville FL 34604-6899 8:00 a.m. to 5:00 p.m. These data are being provided on a 'as is' basis. The District specifically disclaims any warranty, expressed or implied, including, but not limited to, the implied warranties or merchantability and fitness for a particular use. The entire risk as to quality and performance is with the user. In no event will the District or its staff be liable for any direct, indirect, incidental, special, consequential, or other damages, including loss of profit, arising out of the use of these data even if the District has been advised of the possibility of such damages. All data are intended for resource management use. Raster Dataset Bare-earth Digital Elevation Models (DEMs) 2019-04-26 Dewberry 1000 North Ashley Drive, Suite 801, Tampa, FL 33602 Dewberry Elevation Data in Raster Format Dewberry collected 1200 square miles of lidar data in Hillsborough County, Florida. The nominal pulse spacing for this project was 1 point every 0.25 meters or a nominal pulse density of 16 points per square meter. Dewberrry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 6-Building Rooftops, 7-Low Noise, 9-Water, 17- Bridge Decks, 18-High Noise. Geometrically unreliable points, ground points within 2 feet of breaklines, and ground points within 3 feet of buiding rooftops have been identified with the Withheld Flag. Overage points have been identified with the Overlap Flag. The lidar data were combined with 3D breaklines compiled by Dewberry to create hydro-enforced bare-earth DEMs. The data were tiled according to the Florida Statewide Lidar Index tiling scheme with each tile covering an area of 5,000 feet by 5,000 ft. The DEMs model the bare-earth surface and are enforced with the 3D breaklines created for this project. Mapping and GIS Section Southwest Florida Water Management District (352) 796-7211 (352) 540-6018 2379 Broad Street (U.S. 41 South) Brooksville FL 34604-6899 8:00 a.m. to 5:00 p.m. Florida Hillsborough County Lidar Hydro-enforced Bare-earth DEM Elevation Data Breaklines Florida Lidar Hydro-enforced Bare-earth DEM Elevation Data Hillsborough County Breaklines Translation of files to formats other than those described here is the sole responsibility of individuals downloading these data. These data were collected under the supervision of a licensed Professional Surveyor and Mapper. Use of these data require a understanding of GIS. ESRI ArcCatalog 10.3. ground condition 2017-01-31 2017-03-28 -82.655501 -82.049932 27.633443 28.185092 1 -82.655501 -82.049932 28.185092 27.633443 Data covers the project tiling scheme. A visual qualitative assessment was performed to ensure data completeness and bare earth data refinement. No void or missing data. The DEMs are derived from the source lidar and 3D breaklines created from the lidar. Horizontal accuracy is not performed on the DEMs or breaklines. Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the lidar. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the lidar cannot always be tested. Lidar systems are calibrated during installation of the system and then again for every project acquired. Typical calibrations include cross flights that capture features from multiple directions that allow adjustments to be performed so that the captured features are consistent between all swaths and cross flights from all directions. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 1.35 ft (41 cm) RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 3.28 ft (100 cm) at a 95% confidence level. Eleven (11) checkpoints were photo-identifiable but do not produce a statistically significant tested horizontal accuracy value. Using this small sample set of photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 1.09 ft (33.2 cm) and RMSEy = 0.70 ft (21.3 cm) which equates to +/- 2.23 ft (68 cm) at 95% confidence level. While not statistically significant, the results of the small sample set of checkpoints are within the produced to meet horizontal accuracy The DEMs are derived from the source lidar and 3D breaklines created from the lidar. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production so that any differences identified between the source lidar and final DEMs can be attributed to interpolation differences. DEMs are created by averaging several lidar points within each pixel which may result in slightly different elevation values at a given location when compared to the source LAS, which is tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the lidar ground points. TINs do not average several lidar points together but interpolate (linearly) between two or three points to derive an elevation value. The vertical accuracy of the final bare earth DEMs was tested by Dewberry with 178 independent checkpoints. The same checkpoints that were used to test the source lidar data were used to validate the vertical accuracy of the final DEM products. The survey checkpoints are evenly distributed throughout the project area and are located in areas of non-vegetated terrain (147 checkpoints), including bare earth, open terrain, and urban terrain, and vegetated terrain (31 checkpoints), including forest, brush, tall weeds, crops, and high grass. The vertical accuracy is tested by extracting the elevation of the pixel that contains the x/y coordinates of the checkpoint and comparing these DEM elevations to the surveyed elevations. All checkpoints located in non-vegetated terrain were used to compute the Non-vegetated Vertical Accuracy (NVA). Project specifications required a NVA of 0.64 ft (19.6 cm) at the 95% confidence level based on RMSEz (0.33 ft/10 cm) x 1.9600. All checkpoints located in vegetated terrain were used to compute the Vegetated Vertical Accuracy (VVA). Project specifications required a VVA of 0.96 ft (29.4 cm) based on the 95th percentile. This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.33 ft (10 cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz =0.12 ft (3.6 cm), equating to +/- 0.23 ft (7.0 cm) at 95% confidence level. 0.23 ft (7.0 cm) Class 2, ground, lidar points are exported from the LAS files into an Arc Geodatabase (GDB) in multipoint format. The 3D breaklines, water bodies, hydrographic features, and islands are imported into the same GDB. 2D building footprints are buffered by 3 feet and the highest ground elevation within the buffered footprint is applied to the entire footprint. The 3D building footprints are then imported into the same GDB as the multipoints and other 3D breaklines. An ESRI Terrain is generated from these inputs. The surface type of each input is as follows: Ground Multipoint: Masspoints Water bodies: Hard Replace Hydrographic feature : Hard Line Islands : Hard Line Building Footprint: Hard Replace The ESRI Terrain is converted to a raster. The raster is created using linear interpolation with a 2.5 foot cell size. The DEM is reviewed with hillshades in both ArcGIS and Global Mapper. Hillshades allow the analyst to view the DEMs in 3D and to more efficiently locate and identify potential issues. Analysts review the DEM for missed lidar classification issues, incorrect breakline elevations, incorrect hydro-flattening or hydro-enforcement, and artifacts that are introduced during the raster creation process. The corrected and final DEM is clipped to individual tiles. Dewberry uses a proprietary tool that clips the DEM to each tile located within the final Tile Grid, names the clipped DEM to the Tile Grid Cell name, and verifies that final extents are correct. All individual tiles are loaded into Global Mapper for the last review. During this last review, an analsyt checks to ensure full, complete coverage, no issues along tile boundaries, tiles seamlessly edge-match, and that there are no remaining processing artifacts in the dataset. 2019-04-01 Keith Patterson Dewberry 813-421-8635 1000 North Ashley Drive, Suite 801 Tampa FL 33602 8:00 a.m. to 5:00 p.m. 3D Breaklines Tiled Lidar The 3D breaklines were used to enforce elevations along hydrographic features, water bodies, islands, and building footprints were used to cause water to flow around buildings in the bare-earth DEMs. 2000 3D Breaklines none 2019-04-26 Dewberry Dewberry 1000 North Ashley Drive, Suite 801, Tampa, FL 33602 813-225-1325 ground condition 2017-01-31 2017-03-28 Class 2, ground, was used from the tiled lidar to create the bare-earth DEM masspoints. 2000 Tiled Lidar none 2019-04-26 Dewberry 1000 North Ashley Drive, Suite 801, Tampa, FL 33602 Dewberry 813-225-1325 ground condition 2017-01-31 2017-03-28 2000 2.500000 2000 2.500000 1 2 1 0 445000.000122 1200000.000122 445000.000122 1400000.000122 640000.000122 1400000.000122 640000.000122 1200000.000122 542500.000122 1300000.000122 dataset EPSG 8.9.3(10.3.1) Layer_1 341.279999 -33.320351 32 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