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CreateMosaicDataset "Database Connections\GIS@AERIALS_sqlsde006.sde" Hillsborough_County_2018_JPG "PROJCS['NAD_1983_StatePlane_Florida_West_FIPS_0902_Feet',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',656166.6666666665],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-82.0],PARAMETER['Scale_Factor',0.9999411764705882],PARAMETER['Latitude_Of_Origin',24.33333333333333],UNIT['Foot_US',0.3048006096012192]];-17791300 -41645400 3048.00609601219;-100000 10000;-100000 10000;3.28083333333333E-03;0.001;0.001;IsHighPrecision" # # NONE #
DefineOverviews "Database Connections\GIS@AERIALS_sqlsde006.sde\AERIALS.GIS.Hillsborough_County_2018_JPG" "Database Connections\GIS@AERIALS_sqlsde006.sde" # "445000.000096079 1199999.99997349 639999.99985908 1399999.99990708" # # 5120 5120 3 NO_FORCE_OVERVIEW_TILES BILINEAR JPEG 80
BuildOverviews "Database Connections\GIS@AERIALS_sqlsde006.sde\AERIALS.GIS.Hillsborough_County_2018_JPG" # DEFINE_MISSING_TILES GENERATE_OVERVIEWS GENERATE_MISSING_IMAGES REGENERATE_STALE_IMAGES
AnalyzeMosaicDataset "Database Connections\GIS@AERIALS_sqlsde006.sde\AERIALS.GIS.Hillsborough_County_2018_JPG" # FOOTPRINT;FUNCTION;RASTER;PATHS
AERIALS.GIS.Hillsborough_County_2018
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Denise Wright
GPI Geospatial, Inc.
Orthophotography Technician
407-937-0965
Tampa
FL
33602
US
20181121
ArcGIS Metadata
1.0
Hillsborough County Property Appraiser
(813)272-6100
601 East Kennedy Blvd.
Tampa
FL
33602
US
Hillsborough_County_2018
GPI Geospatial, Inc.
remote-sensing image
Hillsborough Countywide Digital Orthophotography 2018
2018075-GPI Geospatial
This image is part of a larger dataset. The purpose of this project is to furnish aerial photographs to the Hillsborough County property appraisers for the year 2018 to ensure that all real property within the county is listed on the tax roll. GPI Geospatial is delivering digital orthophotography products to support the development and analysis of the tax roll for Hillsborough County, FL. This data set consists of 6" resolution, color images covering Hillsborough County, FL. An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically corrected. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. The design accuracy is estimated not to exceed 2.5 feet at the 95% confidence level (1.44 feet RMSE). There is no image overlap between adjacent files. The projected coordinate system is State Plane NAD83 FL West US Survey Feet.
Imagery is used by Hillsborough County to support the development and analysis of the tax roll for the project area in year 2018.
GPI Geospatial, Inc.
GPI Geospatial, Inc.
407-937-0965
423 S Keller Road #300
Orlando
FL
32810
NORTH AMERICA
United States of America
Florida
Hillsborough
CIESIN Indexing Vocabulary
Raster
Aerial Imagery
NORTH AMERICA
United States of America
Raster
Aerial Imagery
Florida
Hillsborough
NO WARRANTIES: This data is made available by the Florida Department of Transportation on an "as is," "as available" basis without warranties of any kind, express or implied, including, but not limited to, those of TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE or NON-INFRINGEMENT or any warranty arising from a course of dealing, usage, or trade practice. DISCLAIMER OF LIABILITY: The user of this data assumes all responsibility and risk for the use of the data. Under no circumstances, including negligence, shall the Florida Department of Transportation or its employees be liable for any DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY or CONSEQUENTIAL DAMAGES, or LOST PROFITS that result from the use, misuse or inability to use the data. Nor shall the Florida Department of Transportation, or its employees be liable for any damages resulting from or related to reliance upon the data; mistakes in the data, omissions from the data, interruptions, deletion of files, computer viruses, errors in the data, defects in the data, or any failure of performance, communications failure, theft, destruction or unauthorized access to the data.
None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of the data may no longer represent actual surface conditions. Users should not use the data for critical applications without a full awareness of the limitations of the data.
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
-82.65550101
-82.04993244
27.6334431
28.18509186
Ground conditions
2018-04-05
2018-04-11
1
-82.655501
-82.049932
28.185092
27.633443
Aerial Flight Data - Upon completion of the flight portion of the project, the data collected by the Applanix Position and Orientation System (POSAV 510) was transferred to processing stations to solve for positional information. The IMU information was then merged with the ABGPS through time stamps to provide for the orientation of the aircraft. The data was processed through a Kalman filter to achieve a Smoothed Best Estimate of Trajectory (SBET). This gave an accurate position and orientation of the aircraft at the time of camera exposure. QC checks show that no duplicate images exist and that raw images cover and extend beyond project area. There were no reported Geometric misalignments between any of the bands. Image Processing - The raw Ultracam Eagle (Level-0) data and associated GPS and IMU data for each mission is processed. Each roll is carefully evaluated for project coverage, checked for clouds, cloud shadows, sharpness, smoke, sun glint or haze and acceptance as part of our QA/QC procedure and then edited for annotation and production. The film is scanned and converted to a digital format. Image Data Processing - Using UltraMap, software, the imagery was processed from Level-0 data to Level-2 to assemble all of the files. Level-2 was processed to 24-bit Level-3 RGB, and radiometry was verified by visual inspection of the digital photo and adjusted when necessary. Tonal balancing may be performed over a group of images during the mosaicking process which may serve to lighten or darken adjacent images for better color tone matching. Analytical Triangulation - Utilizing the ground survey points, control densification was accomplished by performing a analytical triangulation process using Inpho software. This created additional pass points on the proper horizontal datum as well as confirming the location of the aerial photography to the survey control. Orthorectification - The imagery was orthorectified to the DEM data set using adjusted EO positions from the analytical triangulation. The resulting images were then mosaicked and color balanced utilizing Inpho Orthovista software. Positional checks are made once the preliminary ortho is created. Overpasses are checked for possible smearing and positional accuracy to known survey control is also checked and confirmed to be within the required specifications. Edge matching of orthos is checked for mis-matches utilizing the Orthovista Seamline editing program. Orthophotos are visually inspected for completeness to ensure that no gaps or image misplacements exist within and between adjacent images. These images are derived by mosaicking multiple images to ensure complete coverage of the project area.
Orthoimages are visually inspected for completeness to ensure that no gaps or image misplacements exist within and between adjacent images. These images are derived by mosaicking multiple images to ensure complete coverage. Source imagery is cloud free.
See Horizontal and Vertical Accuracy reports. Radiometry is verified by visual inspection of the digital orthophoto. Slight systematic radiometric differences may exist between adjacent orthoimage files; these are due primarily to differences in source image capture dates and sun angles along flight lines. These differences can be observed in an image's general lightness or darkness when it is compared to adjacent orthoimage file coverages. Tonal balancing may be performed over a group of images during the mosaicking process which may serve to lighten or darken adjacent images for better color tone matching. Photography was not be acquired when haze, smoke, or dust obscure the ground, or when clouds or cloud shadows could appear on any photograph. Airborne GPS and Inertial Measurement (ABGBS/IMU data) supports the accuracy specifications identified for this project. Photogrammetric control for the imagery was limited to airborne GPS/IMU data acquired during imagery collection. Geo-referencing of the imagery was accomplished via direct referencing using post processed airborne global positioning systems (ABGPS) and inertial measurement unit (IMU) data, and includes aero-triangulation without additional targeted ground control; however, the georeferencing solution resulted in a horizontal positional accuracy of 2.5 feet or better at the 95% confidence interval (Accuracy = 3.06 * RMSE1i so RMSE1i = 1.44 feet) as specified in the Federal Geodetic Data Committee (FGDC) Geospatial Positioning Accuracy Standards, Part 3: National Standard for Spatial Data Accuracy (FGDC-STD-007.3-1998). No independent accuracy assessment checkpoints were surveyed or used to test the horizontal accuracy of the orthophotography. This project has a maximum ground sampling distance (GSD) of 6.0 inches. Each of the four (4) bands of the imagery have been delivered as geometrically correct, pan-sharpened, 8 bit data (i.e. Level-3) without the application of color modifications. All work was accomplished under the supervision of a surveyor licensed by the State of Florida as a Professional Surveyor and Mapper (PSM) pursuant to Chapter 472, Florida Statutes and a Certified Photogrammetrist (CP) as recognized by the American Society for Photogrammetry and Remote Sensing (ASPRS). The photogrammetrist and surveyor made maximum utilization of their professional experience to produce superior results.
Orthophotogrammetric Mapping will meet or exceed a verified horizontal accuracy of 2.5 feet at the 95% confidence interval (1.44 feet RMSE) as specified in the FGDC Geospatial Positioning Accuracy Standards, Part 3: National Standard for Spatial Data Accuracy (NSSDA). All ground coordinates are units of U.S. survey feet. Horizontal data referenced to the State Plane Coordinate System, Florida West Zone 0902, North American Datum of 1983(NAD83). Angular units reported in decimal degrees.
Meets or Exceeds National Standard for Spatial Data Accuracy of 2.5 feet or 1.44 feet RMSE
0.729 feet per NSSDA
No vertical accuracy analysis required for the orthophotos
This image is part of a larger dataset. IMAGE SPECIFICATIONS The Project requires blue, green, red, and near infrared digital imagery of the geographic extent of all areas of interest. The resulting imagery must be 99.9% free of smoke, clouds, and cloud shadows. In addition, all portions of the project will require orthographic image products. SENSOR All imagery was collected using a Microsoft digital aerial sensor: Eagle with a 100mm lens. FLIGHT Imagery was acquired while the solar elevation angle was between 25° and 55° above the horizon. The project has a maximum ground sampling distance (GSD) of 6.0 inches. Radiometric Resolution & Band Stacking Each of the four (4) bands of the imagery were delivered as geometrically correct, pan-sharpened, 8 bit data (i.e. Level-3) without the application of color modifications. The four (4) color bands was delivered as a four (4) band stack (RGBI) set of Level-3 images. HISTOGRAM ADJUSTMENT Within fifteen (15) working days of the completion of acquisition of a particular area, post-processed imagery was provided to determine the color appearance of the imagery. This “reference imagery”, once agreed upon, was the basis for color balance for that specific area of the project. The goal of the histogram modifications was to maximize scene contrast for the best possible discrimination of natural features while minimizing variability in scene reflectance caused by differences in sun angle, atmospheric conditions, path length and angle, sensor design, etc. ORTHOGRAPHIC IMAGERY GPI Geospatial produced orthographic imagery for all portions of the project. All orthographic imagery was delivered as a seamless, 4-band stack (RGBI) set of orthographic images quantized at 8 bits per color channel (32 bits total), and have a GSD of at least 6 inches (6"). SPATIAL DATA SPECIFICATIONS The photogrammetric control is adequate to support the accuracy specifications identified for this project. Photogrammetric control for the imagery is limited to airborne GPS/IMU data acquired during imagery collection. GPI Geospatial submitted a report that documents the procedures used for the spatial data products, including the horizontal and vertical ABGPS control, (i.e. aircraft positioning systems), aero-triangulation procedures and results, and the orthographic imagery for this project. Geo-referencing of the imagery was accomplished via direct referencing using post processed airborne global positioning systems (ABGPS) and inertial measurement unit (IMU) data and/or include aero-triangulation with or without additional targeted ground control; however, the ABGPS solution yielded a horizontal accuracy of 1.074 ft. (RMSEr) and 1.859 ft. (Accuracy) as specified in the Federal Geodetic Data Committee (FGDC) Geospatial Positioning Accuracy Standards, Part 3: National Standard for Spatial Data Accuracy (FGDC-STD-007.3-1998). No independent accuracy assessment checkpoints were surveyed or used to test the horizontal accuracy of the orthophotography. ABGPS & IMU The simultaneous acquisition of imagery, ABGPS and IMU data was required for this project. In addition, all ABGPS and IMU data waspost-processed and corrected in accordance with simultaneous GPS observations collected at a fixed geodetic reference station that is located within 60 km of the aircraft at all times and records positional information at an epoch of 1 second or faster. The fixed reference stations used are Continuously Operated Reference Stations (CORS) or part of the Florida Permanent Reference Network (FPRN).Geodetic data utilized in this project has been documented in the National Geodetic Survey (NGS) Digital Survey Data (DSDATA) format or an alternative database format containing equivalent attributes for each location.
2018-04-15
Digital Elevation Model
Digital Elevation Model
DEM
2013-01-01
GPI Geospatial, Inc.
ground condition
2013-01-01
2013-01-01
EPSG
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1
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