24 datasets found
  1. w

    Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos -...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos - Orange County [Dataset]. https://data.wu.ac.at/schema/data_gov/NDFhNjk1NDQtOTYzOC00ZDQ2LWIzNGQtNzE0NDVkZDA0OTFi
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    183e793f98f77e8f5ca8ee4fea1dce657a9275db
    Description

    This metadata describes the digital orthoimagery covering Orange County, FL. This orthoimagery was collected under contract to the Orange County Property Appraiser and subsequently reformatted to the FL Department of Revenue specifications. This 1"=100'scale imagery is comprised of natural color orthoimagery with a GSD (Ground Sample Distance) of 0.5. Imagery was collected with the Leica ADS40 digital sensor and processed with Leica GPro software. Imagery is projected in State Plane Coordinate System, Florida East using the Transverse Mercator map projection parameters.

  2. a

    Mean High Water Lines - Historical

    • opendata-volusiacountyfl.hub.arcgis.com
    Updated Aug 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    County of Volusia (2024). Mean High Water Lines - Historical [Dataset]. https://opendata-volusiacountyfl.hub.arcgis.com/datasets/VolusiaCountyFL::mean-high-water-lines-historical-1/explore
    Explore at:
    Dataset updated
    Aug 5, 2024
    Dataset authored and provided by
    County of Volusia
    Area covered
    Description

    Last Rev. 01/24/08 - E.Foster, P.E. - FSU/BSRCThe Historic Shoreline Database on the Web contains many directories of related types of information about beach changes in Florida over the past 150 or so years. The historic shoreline map images (see the Drawings directory) show precision-digitized approximate mean high water (mhw) shorelines, from the US government coastal topographic maps listed in the associated map bibliography files (see the Sourcebibs directory). These generally show data extending from the mid to late 1800’s to the mid to late 1970’s. The mhw positions have been extracted and tabulated (see the MWHfiles directory) relative to fixed reference “R” points along the beach, spaced approximately 1000 feet (300 meters) apart. Reference points not actually corresponding to actual “in the ground” survey markers are virtual “V” points. Mean high water positions have been and continue to be extracted from FDEP beach profile surveys from the 1970’s through the present and added to the tables. The beach profile data files from which mhw data have been extracted and added into the mhw tables can be found in the ProfileData directory and visually (for many areas) in the ClickOnProfiles directory. The beach profile files include elevation information along the entire length of the profiles. This profile data set has undergone up to fifteen additional quality control checks to ensure accuracy, reliability, and consistency with the historic database coordinate and bearing set. Note that any data deeper than wading depth have not yet undergone any extra quality control checks. Note also that there are *.cod text files of notes associated with the review of the profile data files.The digital historic shoreline map image files are given in a DWG autocad-based format, which should be usable on most versions, as well as many GIS systems. The Florida State Plane 1927/79-adjusted and 1983/90 horizontal coordinate systems are used. These are not metric systems, but with the proper software can be converted to whatever systems you may need. Each map image DWG file contains many layers, documented in an ASCII layer list archived with the DWG file.The database has been maintained and greatly expanded by E. Foster since approximately 1987 and by N. Nguyen since 1995. The initial map digitizing effort was done for FDEP at Florida State University, primarily by S. Demirpolat. Final processing and editing of the original map files to make them user-friendly was performed by N. Nguyen and E. Foster in 1995-7. Extensive quality control and update work has been performed by E. Foster since 1987, and by N. Nguyen since 1995. Field profile surveys have been performed by the FDEP Coastal Data Acquisition section since the early 1970’s, and by a number of commercial surveyors in recent years.The formats of the mhw tables and profile files are explained in text files included in the respective directories.Note that the digitized map image files were originally created in the UTM coordinate system on Intergraph equipment. The translation from UTM to the State Plane coordinate systems has resulted in some minor textual and other visual shifts in the northwest Florida area map image files.The dates in the map legends in the map images are generally composite dates. It is necessary to use the mhw data tables and map bibliographies for accurate dates for any specific location. The date ranges in the data tables relate to specific information given in the map bibliography files.2Generally it may be assumed that the historic shorelines have been digitized as carefully as possible from the source maps. If a historic shoreline does not contain a systematic position error and is feasible in a physical sense, the accuracy of the mhw position is estimated at plus or minus 15 to 50 feet (5 to 15 m), depending on the source and scale. This is as a position in time, NOT as an average mhw position. Data added from field surveys are estimated at plus or minus 10 feet (3 m) or better.It is to be noted that from the 1920’s onward, aerial photographs have usually been the basis of the US government’s coastal topographic maps. Prior to that, the method was plane table surveying. Along higher wave energy coasts, especially the Florida east coast, if there was significant wave activity in the source photography, it is very possible that the mhw was mapped in a more landward location than was probably correct. Alternatively, the use of photography sets with excessive sun glare may have caused the mhw to be mapped in a more seaward location than was probably correct. These effects have been frequently observed in comparisons of close-in-time FDEP controlled aerial photography with FDEP profile surveys. The use of some photography sets containing high wave uprush or sun glare is probable within the historic data. For example, on the east coast the 1940’s series maps tend to show the mhw more seaward than expected, possibly due to sun glare, and the 1960’s series tend to show the mhw more landward than expected. In the latter case, the effect may be due to the 1960’s being a decade of frequent storms. It is recommended that the analyst be aware that some of these effects may exist in the historic data. A questionable historic shoreline is NOT necessarily one to be discarded, just considered with allowance for its’ potential limitations.Using this database, it can readily be observed that the historic trends in shoreline evolution are very consistent with behavior expected from the longshore transport equation, well known to coastal engineers. This is a non-linear equation. Shoreline change can be expected to be linear or constant only in certain situations. It is NOT recommended that any analyst arbitrarily assume constant or linear shoreline change rates over long periods of time, which is often done but not supported by the evidence. The three primary factors controlling shoreline change are sand supply, wave climate, and local geographic features. In some parts of Florida, major storms since 1995 have also become important factors.

  3. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, NASSAU COUNTY, FLORIDA

    • data.wu.ac.at
    arce +2
    Updated Nov 14, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Emergency Management Agency, Department of Homeland Security (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, NASSAU COUNTY, FLORIDA [Dataset]. https://data.wu.ac.at/schema/data_gov/YWU5YWJlMjktZWNmZC00MDcwLTk3OTYtY2Q2OWFhMjVmNDFh
    Explore at:
    mapinfo interchange file (mif), shp, arceAvailable download formats
    Dataset updated
    Nov 14, 2017
    Dataset provided by
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    Federal Emergency Management Agencyhttp://www.fema.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    237dc697bc59ffc625adc65b2cab8664b5ee1c30
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Florida State Plane coordinate System (FIPS 3003). The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  4. d

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, GLADES COUNTY, FLORIDA.

    • datadiscoverystudio.org
    Updated Nov 14, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, GLADES COUNTY, FLORIDA. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/2903d062688c498b920a46b27b9015e3/html
    Explore at:
    Dataset updated
    Nov 14, 2017
    Description

    description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Florida State Plane coordinate System (FIPS 3003). The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Florida State Plane coordinate System (FIPS 3003). The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  5. d

    Aerial Photography and Imagery, Ortho-Corrected - 2011 Digital Orthophotos -...

    • datadiscoverystudio.org
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Aerial Photography and Imagery, Ortho-Corrected - 2011 Digital Orthophotos - Highlands County. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e2f06f8aa166423c87a4df8eaa081483/html
    Explore at:
    Dataset updated
    Aug 19, 2017
    Description

    description: This metadata describes the digital orthoimagery covering Highlands County, FL. This 1"=100' scale imagery is comprised of natural color orthoimagery with a GSD (Ground Sample Distance) of 0.5'. Imagery was collected with the Leica ADS40 digital sensor and processed with Leica GPro software. Imagery is projected in State Plane Coordinate System, Florida East using the Transverse Mercator map projection parameters.; abstract: This metadata describes the digital orthoimagery covering Highlands County, FL. This 1"=100' scale imagery is comprised of natural color orthoimagery with a GSD (Ground Sample Distance) of 0.5'. Imagery was collected with the Leica ADS40 digital sensor and processed with Leica GPro software. Imagery is projected in State Plane Coordinate System, Florida East using the Transverse Mercator map projection parameters.

  6. d

    Bathymetry survey data for Hillsborough River, Tampa, Florida, from...

    • search.dataone.org
    Updated Feb 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wang, Ping (2025). Bathymetry survey data for Hillsborough River, Tampa, Florida, from 2022-09-09 to 2022-10-14 [Dataset]. http://doi.org/10.7266/j1gj835p
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    GRIIDC
    Authors
    Wang, Ping
    Area covered
    Florida, Tampa
    Description

    A detailed bathymetry survey was conducted from 2022-09-09 to 2022-10-14. The data were used to construct a numerical model to simulate the flow pattern and to examine the erosion and deposition pattern. The data can also be used to simulate water quality. 519,436 points are included with easting and northing coordinates (State Plane Florida West coordinate system) and elevation relative to NAVD88. A merged DEM may be downloaded from GRIIDC related dataset B1.x126.000:0002 (https://doi.org/10.7266/sja44fzv).

  7. a

    Imagery Index Grid for West Florida

    • mapdirect-fdep.opendata.arcgis.com
    Updated Mar 24, 2006
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Southwest Florida Water Management District (2006). Imagery Index Grid for West Florida [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/swfwmd::imagery-index-grid-for-west-florida/explore
    Explore at:
    Dataset updated
    Mar 24, 2006
    Dataset authored and provided by
    Southwest Florida Water Management District
    Area covered
    Description

    The grid represents a 300 row by 500 column series of 5000 by 5000 foot cells that provides a standard means of organizing data collected for orthophotography, LiDAR or other mapping projects. The grid's coordinate system is in State Plane feet West. This service is for the Open Data Download application for the Southwest Florida Water Management District.

  8. d

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, HILLSBOROUGH COUNTY, FLORIDA.

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Nov 14, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, HILLSBOROUGH COUNTY, FLORIDA. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/39970c77733048b2a57441c0fa48d131/html
    Explore at:
    Dataset updated
    Nov 14, 2017
    Description

    description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system.The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system.The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  9. d

    Aerial Photography and Imagery, Ortho-Corrected - 2013 Digital Orthophotos -...

    • datadiscoverystudio.org
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Aerial Photography and Imagery, Ortho-Corrected - 2013 Digital Orthophotos - Calhoun County. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/0b04da5a5ce649bc8585abe22799b047/html
    Explore at:
    Dataset updated
    Aug 19, 2017
    Description

    description: This metadata describes the digital ortho imagery covering Calhoun and Gulf Counties, FL. This 1"=200' scale imagery is comprised of natural color orthoimagery with a GSD (Ground Sample Distance) of 1.0'. Imagery was collected with the Leica ADS40 digital sensor and processed with Leica GPro software. Imagery is projected in State Plane Coordinate System, Florida North using the Lambert Conformal Conic map projection parameters.; abstract: This metadata describes the digital ortho imagery covering Calhoun and Gulf Counties, FL. This 1"=200' scale imagery is comprised of natural color orthoimagery with a GSD (Ground Sample Distance) of 1.0'. Imagery was collected with the Leica ADS40 digital sensor and processed with Leica GPro software. Imagery is projected in State Plane Coordinate System, Florida North using the Lambert Conformal Conic map projection parameters.

  10. d

    Data from: Impact of 20th Century Water-Management and Land-Use Practices on...

    • datadiscoverystudio.org
    • cmr.earthdata.nasa.gov
    • +1more
    html
    Updated May 20, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Impact of 20th Century Water-Management and Land-Use Practices on the Coastal Hydrology of Southeast Florida. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/58b580b2a99541cfb9c9bca36ab91604/html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 20, 2018
    Description

    description: The data are available as Arc/Info coverages from USGS Circular 1275. The Landuse coverages are in Florida State Plane Cordinate System, east zone, units feet, zone 3601, datum NAD27. All other coverages are in UTM Coordinate System, unit meters, zone 17, datum NAD27; abstract: The data are available as Arc/Info coverages from USGS Circular 1275. The Landuse coverages are in Florida State Plane Cordinate System, east zone, units feet, zone 3601, datum NAD27. All other coverages are in UTM Coordinate System, unit meters, zone 17, datum NAD27

  11. n

    Digital Offshore Cadastre (DOC) - Atlantic83 - Submerged Lands Act (SLA)...

    • cmr.earthdata.nasa.gov
    Updated Apr 20, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Digital Offshore Cadastre (DOC) - Atlantic83 - Submerged Lands Act (SLA) Boundary Line [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214591696-SCIOPS
    Explore at:
    Dataset updated
    Apr 20, 2017
    Time period covered
    Feb 1, 2005 - Present
    Area covered
    Description

    This data set contains the Submerged Lands Act boundary line (also known as State Seaward Boundary (SSB) and Fed State Boundary) in ESRI Arc/Info export and Arc/View shape file formats for the MMS Atlantic Region. The SLA defines the seaward limit of a state's submerged lands and the landward boundary of federally managed OCS lands. In the MMS Atlantic Region it is projected 3 nautical miles offshore from the baseline. Further information on the SLA and development of this line from baseline points can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf. Because GIS projection and topology functions can change or generalize coordinates, these GIS files are NOT an OFFICIAL record for the exact Submerged Lands Act Boundary. These data were downloaded from MMS by CZM on June 6, 2008 and then converted into the Mass State Plane Coordinate System, Mainland Zone, meters.

  12. d

    Aerial Photography and Imagery, Ortho-Corrected - 2013 Digital Orthophotos -...

    • datadiscoverystudio.org
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Aerial Photography and Imagery, Ortho-Corrected - 2013 Digital Orthophotos - Levy County. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/55d0296f976d4263be5c2bb3b3d1a705/html
    Explore at:
    Dataset updated
    Aug 19, 2017
    Description

    description: 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 removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. For this dataset, the natural color orthoimages were produced at 1-ft (30cm) pixel resolution in MrSID format (1:20 ratio). The project coordinate system is Florida State Plane Coordinate System, West Zone, U.S. Survey Feet, Datum North American Datum 1983 (NAD83)/HARN, and NAVD88.; abstract: 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 removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. For this dataset, the natural color orthoimages were produced at 1-ft (30cm) pixel resolution in MrSID format (1:20 ratio). The project coordinate system is Florida State Plane Coordinate System, West Zone, U.S. Survey Feet, Datum North American Datum 1983 (NAD83)/HARN, and NAVD88.

  13. w

    Aerial Photography and Imagery, Ortho-Corrected - 2010 Digital Orthophotos -...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2010 Digital Orthophotos - Franklin County [Dataset]. https://data.wu.ac.at/schema/data_gov/ODJkYjk5NWEtODYyMS00NzE0LWFkMmYtNTQyYzI3ZmJhMGIx
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    2aa849e75a1926440cf1c419c7133a877b5a4998
    Description

    This metadata describes the digital ortho imagery covering Franklin County, FL. This 1"=200' scale imagery is comprised of natural color orthophotography with a GSD (Ground Sample Distance) of 1.0 foot. Imagery was collected with the Zeiss DMC digital sensor and processed with Intergraph DMC image processing software. Imagery is projected in State Plane Coordinate System, Florida North using Lambert Conformal map projection parameters. Tiles were cut to pre-determined 5000' x 5000' windows as supplied by the Florida DOR.

  14. w

    Aerial Photography and Imagery, Ortho-Corrected - 2008 Digital Orthophotos -...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2008 Digital Orthophotos - Alachua County [Dataset]. https://data.wu.ac.at/schema/data_gov/NDc5OGQ3YzItYWQxNC00NWU1LWFhMzQtMWU1OTVhYTZhM2Q3
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    ab8829cd39731793c727f0d9d9694463e4606ecd
    Description

    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 removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. For this dataset, the true color orthoimages were produced at 1-ft (30cm) pixel resolution The project coordinate system is Florida State Plane Coordinate System, North Zone, U.S. Survey Feet, Datums North American Datum 1983 (NAD83)/HARN, and NAVD88.

  15. w

    Aerial Photography and Imagery, Ortho-Corrected - 2009 Digital Orthophotos -...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2009 Digital Orthophotos - Broward County [Dataset]. https://data.wu.ac.at/schema/data_gov/YTBhMGVkMDUtZTA0MC00Y2I1LWJhZTEtOTNlZWI1OGJlZjE0
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    0ef0a64f4551a98c067d9dc1ed015ec3b9e15d70
    Description

    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 removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. For this dataset, true color orthoimages were produced at 1-foot (30cm) pixel resolution in GeoTIFF and MrSID format. The projected coordinate system is Florida State Plane (East) with a NAD83 datum.

  16. d

    Aerial Photography and Imagery, Ortho-Corrected - 2010 Digital Orthophotos -...

    • datadiscoverystudio.org
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Aerial Photography and Imagery, Ortho-Corrected - 2010 Digital Orthophotos - Dixie County. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/08563c406ebd4994a13dfb0d6a1c4138/html
    Explore at:
    Dataset updated
    Aug 19, 2017
    Description

    description: This dataset is a collection of GeoTIFF and MrSID format natural color orthophotos covering Gilchrist, Dixie, and Lafayette County, Florida. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Imagery was acquired for the Counties at 0.9 foot ground sample distance (GSD) resolution. Flight height maintained during mission was 9,600 feet AGL. The imagery was captured at 12-bit radiometric resolution and converted to 8-bit radiometric resolution during post processing. The imagery was captured with 20% sidelap between all adjacent flight lines. The imagery was obtained and processed by all digital means beginning with data acquisition using a Z/I Imaging Digital Mapping Camera (DMC). The orthophotos are available in GeoTIFF and MrSID form. The projected coordinate system is State Plane Florida North (FIPS Zone 903), NAD 83 HPGN, GRS 80, Units Feet.; abstract: This dataset is a collection of GeoTIFF and MrSID format natural color orthophotos covering Gilchrist, Dixie, and Lafayette County, Florida. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Imagery was acquired for the Counties at 0.9 foot ground sample distance (GSD) resolution. Flight height maintained during mission was 9,600 feet AGL. The imagery was captured at 12-bit radiometric resolution and converted to 8-bit radiometric resolution during post processing. The imagery was captured with 20% sidelap between all adjacent flight lines. The imagery was obtained and processed by all digital means beginning with data acquisition using a Z/I Imaging Digital Mapping Camera (DMC). The orthophotos are available in GeoTIFF and MrSID form. The projected coordinate system is State Plane Florida North (FIPS Zone 903), NAD 83 HPGN, GRS 80, Units Feet.

  17. Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos -...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos - Collier County [Dataset]. https://data.wu.ac.at/schema/data_gov/MGIyYjc5YTQtNjhmNi00NzJjLTgxMGYtMDk2MDRmYTMyNWE3
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    National States Geographic Information Council
    Area covered
    074cd08131c37641c3a3e11ec598add22c5714e4
    Description

    This dataset is a single orthophoto from a collection of GeoTIFF format, natural-color orthophotos covering Collier County, Florida. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematicallyremoved. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Each orthophoto provides imagery for a 4500- by 4500-foot block on the ground at 0.5 foot pixel resolution. The projected coordinate system is State Plane, Florida East (FIPS 901), NAD83, Survey Feet. There is no image overlap in adjacent files. The imagery was captured using Zeiss/Intergraph Digital Mapping Camera (DMC). The county's existing LIDAR dataset collected in 2001 and 2005 were used as a DEM surface for the orthorectification process. The orthophotos are available in GeoTIFF and MrSID compressed forms.

  18. w

    Aerial Photography and Imagery, Ortho-Corrected - 2007 Digital Orthophotos -...

    • data.wu.ac.at
    • datadiscoverystudio.org
    xml
    Updated Aug 19, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2007 Digital Orthophotos - FDEM - Nassau County [Dataset]. https://data.wu.ac.at/schema/data_gov/MmNjYjRkZjUtZDNiMy00MWMxLTg5YmUtYmM4ZGY4YWRlZGY5
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    08314a9516c90f68afc1a90e5644a82be4833f26
    Description

    This dataset is a collection of GeoTIFF and MrSID format natural color orthophotos covering Nassau County, Florida. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Imagery was acquired for Nassau County at 0.9 foot ground sample distance (GSD) resolution. Flight height maintained during mission was 9,000 feet AGL. The imagery was captured at 12-bit radiometric resolution and converted to 8-bit radiometric resolution during post processing. The imagery was captured with 60% forwardlap and 30% sidelap between all adjacent flight lines. The imagery was obtained and processed by all digital means beginning with data acquisition using a Z/I Imaging Digital Mapping Camera (DMC), serial number DMC01-0046. The orthophotos are available in GeoTIFF and MrSID form. The projected coordinate system is State Plane Florida East (FIPS Zone 901), NAD 83 HPGN, GRS 80, Units Feet.

  19. a

    Topographic Contours 2020 Map Tile

    • hub.arcgis.com
    Updated Apr 4, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tallahassee-Leon County GIS (2022). Topographic Contours 2020 Map Tile [Dataset]. https://hub.arcgis.com/datasets/a2a46a754b2c4aa9a8cadebe59b1dd9b
    Explore at:
    Dataset updated
    Apr 4, 2022
    Dataset authored and provided by
    Tallahassee-Leon County GIS
    Area covered
    Description

    This topographic contour layer was derived from LiDAR collected in spring of 2020 by Dewberry Engineers in coordination with Tallahassee - Leon County GIS. The contours were extracted at a 2 foot interval with index contours every 10 feet. This tile layer was generated as a Map Tile Package (.mtpkx) in ArcGIS Pro and published to ArcGIS online as a hosted tile layer. For web mapping compatibility, this layer has been re-projected from its original coordinate system to the web standard used by ESRI, Google, and Bing (Web Mercator Auxiliary Sphere).The feature layer used to generate this tile layer can be downloaded as a zipped geodatabase from TLCGIS' geodatahub. Download LinkLidar Acquisition Executive SummaryThe primary purpose of this project was to develop a consistent and accurate surface elevation dataset derived from high-accuracy Light Detection and Ranging (lidar) technology for the Tallahassee Leon County Project Area. The lidar data were processed and classified according to project specifications. Detailed breaklines and bare-earth Digital Elevation Models (DEMs) were produced for the project area. Data was formatted according to tiles with each tile covering an area of 5000 ft by 5000 ft. A total of 876 tiles were produced for the project encompassing an area of approximately 785.55 sq. miles.The Project TeamDewberry served as the prime contractor for the project. In addition to project management, Dewberry was responsible for LAS classification, all lidar products, breakline production, Digital Elevation Model (DEM) production, and quality assurance. Dewberry’s Frederick C. Rankin completed ground surveying for the project and delivered surveyed checkpoints. His task was to acquire surveyed checkpoints for the project to use in independent testing of the vertical accuracy of the lidar-derived surface model. He also verified the GPS base station coordinates used during lidar data acquisition to ensure that the base station coordinates were accurate. Please see Appendix A to view the separate Survey Report that was created for this portion of the project. Digital Aerial Solutions, LLC completed lidar data acquisition and data calibration for the project area.SURVEY AREAThe project area addressed by this report falls within the Florida county of Leon.DATE OF SURVEYThe lidar aerial acquisition was conducted from TBDORIGINAL COORDINATE REFERENCE SYSTEMData produced for the project were delivered in the following reference system.Horizontal Datum: The horizontal datum for the project is North American Datum of 1983 with the 2011 Adjustment (NAD 83 (2011))Vertical Datum: The Vertical datum for the project is North American Vertical Datum of 1988 (NAVD88)Coordinate System: NAD83 (2011) State Plane Florida North (US survey feet)Units: Horizontal units are in U.S. Survey Feet, Vertical units are in U.S. Survey Feet.Geiod Model: Geoid12B (Geoid 12B) was used to convert ellipsoid heights to orthometric heights).

  20. w

    Aerial Photography and Imagery, Ortho-Corrected - 2007 Digital Orthophotos -...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2007 Digital Orthophotos - Washington County [Dataset]. https://data.wu.ac.at/schema/data_gov/ZTViNGVkYzItMzUyZC00NWUzLWJjZWMtZjY4MzM0YTY3N2Vl
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    1d3ee2ecd53a46bc6a7ebfc926a127aa16672ffa
    Description

    This dataset is a collection of GeoTIFF and MrSID format natural color orthophotos covering Washington, Holmes, and Bay County, Florida. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Imagery was acquired for Washington and Holmes Counties at 0.9 foot ground sample distance (GSD) resolution. Flight height maintained during mission was 8,650 feet AGL. The imagery was captured at 12-bit radiometric resolution and converted to 8-bit radiometric resolution during post processing. The imagery was captured with 20% sidelap between all adjacent flight lines. The imagery was obtained and processed by all digital means beginning with data acquisition using a Leica ADS40 Digital Airborne Sensor. Bay County was flown using the Z/I Imaging Digital Mapping Camera (DMC). The orthophotos are available in GeoTIFF and MrSID form. The projected coordinate system is State Plane Florida North (FIPS Zone 903), NAD 83 HPGN, GRS 80, Units Feet.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos - Orange County [Dataset]. https://data.wu.ac.at/schema/data_gov/NDFhNjk1NDQtOTYzOC00ZDQ2LWIzNGQtNzE0NDVkZDA0OTFi

Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos - Orange County

Explore at:
xmlAvailable download formats
Dataset updated
Aug 19, 2017
Dataset provided by
NSGIC Education | GIS Inventory
Area covered
183e793f98f77e8f5ca8ee4fea1dce657a9275db
Description

This metadata describes the digital orthoimagery covering Orange County, FL. This orthoimagery was collected under contract to the Orange County Property Appraiser and subsequently reformatted to the FL Department of Revenue specifications. This 1"=100'scale imagery is comprised of natural color orthoimagery with a GSD (Ground Sample Distance) of 0.5. Imagery was collected with the Leica ADS40 digital sensor and processed with Leica GPro software. Imagery is projected in State Plane Coordinate System, Florida East using the Transverse Mercator map projection parameters.

Search
Clear search
Close search
Google apps
Main menu