Florida Division of Emergency Management200803272FT CONTOUR LINES - SARASOTA COUNTYvector digital datatopo2ft_woolpert_sarasotaUnknownhttp://www.floridadisaster.org/gisTallahassee, FLFlorida Division of Emergency ManagementSarasota CountyThis data set is one component of a digital terrain model (DTM) for the Florida Division of Emergency Management's (FDEM) Project Management and Technical Services for Mapping within Coastal Florida (Contract 07-HS-34-14-00-22-469), encompassing the entire coastline of Florida. The dataset is comprised of 2-foot contours. Contours were generated from a gridded DEM: 2-foot contours meet National Map Accuracy Standards Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas.The DTM was developed to support the Florida Division of Emergency Management (FDEM) development and maintainenance of Regional Evacuation Studies (Study), which include vulnerability assessments and assist disaster response personnel in understanding threats to Florida's citizens and visitors. Breaklines improve the digital elevation model in areas where the point density is insufficient.Project Title: Project Management and Technical Services for Mapping within Coastal Florida (Contract 07-HS-34-14-00-22-469) Task Order: 20070525-492720a Vendor Name: Woolpert, Inc.en20080508publication dateAs needed-87.429040-79.87225130.98319124.492815533936.317900592355.098200327818.302500376853.645700-262United StatesFloridanonePhotogrammetryTerrainStereo ModelContoursLiDARHydrologyDEMNONEThis data may be used by the requested party for stated purposes and should not be re-distributed.This data is for planning purposes only and should not be used for legal or cadastral purposes. Regional Evacuation Studies are currently being updated and www.floridadisaster.org/gis should be consulted for revisions.mailing address
2555 Shumard Oak Boulevard
TallahasseeFlorida32399-2100USA850-413-9907850-488-1016Florida Division of Emergency Managementgis@dca.state.fl.usMicrosoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.4000FILE GEODATABASE (ArcGIS 9.2 or later)
Breaklines for this component of the DTM were photogrammetrically collected from stereo models created in a GeoCue environment. That is, the stereo view was created from a surface generated from 2007 LiDAR data, with existing orthophotography proviede by FDEM "draped" over that LiDAR surface to simulate a photographic stereo image view. The breaklines features were captured in accordance with the FDEM Baseline Specifications 1.2.
These breaklines were determined from LiDAR and stereo tile (LiDAR grammetry) data of specific dates and that model the land/water contributions and extents on those dates. The 3-D vector line work was created using stereo-compilation. A thorough QC procedure was implemented to verify the elevation of the breaklines and to ensure no zero elevations were found except in coastal areas where it is possible to find z values equal to mean sea level. Additional QC steps were taken to ensure all breaklines agree with the vertical location of the LiDAR. The DTM was developed in accordance with the Baseline Specifications 1.2. The DTM is intended to support 2-foot contours, and the vertical accuracy of ground points in unobscured areas is not to exceed 0.6-feet RMSE. A thorough QC was implemented to verify the breakline elevation accuracy.Horizontal accuracy is +/- 3.8-foot at the 95% confidence level using RMSE(r) x 1.7308 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA.3.8see MTS Report of Specific Purpose Survey0.3-feet RMSE for unobscured ground points. The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground control points and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis represents bare earth elevations. The RMSE figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA).
0.3-feet RMSE - testedsee MTS Report of Specific Purpose Survey
Florida Division of Emergency Management
20080327UnknownState of Florida Division of Emergency Management LiDAR Project Surveyvector digital dataFlorida DEMWoolpert, Inc.20080327publication date24000Hard DriveSpatial and Attribute InformationWoopertpublication dateThe Airborne Global Positioning System (ABGPS), inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 20 mile radius from the flight survey area.Woolpert, Inc.Richard R. Hudson, PE, PSM, CPmailing and physical address
11315 Corporate Blvd
OrlandoFlorida32817USA407-381-2192407-384-1185www.woolpert.com8:00-5:00Monday-FridayProject ManagervariedLeica ALS50Inertial Measuring UnitAirborne Global Positioning SystemGlobal Positioning SystemLiDAR Scan FilesGPS dataUnknownThe ABGPS, IMU, and raw scans are integrated using proprietary software developed by the Leica Geosystems and delivered with the Leica ALS50 System. The resultant file is in a LAS binary 1.1 file format. The LAS file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are produced in the Florida State PlaneWest Zone coordinate system, with units in feet and referenced to the NAD83/90 HARN horizontal datum and NAVD88 vertical datum.Airborne Global Positioning System20070107UnknownInertial Measurement UnitLiDAR dataFDEMvariedRichard R. Hudson, PE, PSM, CPWoolpert, Inc.Project Manager407-381-2192407-384-1185www.woolpert.com8:00-5:00Monday-Fridaymailing and physical address
11315 Corporate Blvd
OrlandoFlorida32817USAThe unedited data are classified to facilitate the application of the appropriate feature extraction filters. Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces.20080324variedUnknownRichard R. Hudson, PE, PSM, CPWoolpert, Inc.Project Manager407-381-2192407-384-1185www.woolpert.com8:00-5:00Monday-Fridaymailing and physical address
11315 Corporate Blvd
OrlandoFlorida32817USAFiltered Lidar and vector data are subjected to rigorous QA/QC procedures designed by Wollpert. Terramodel software was used to display the edited LiDAR points and associated GEOTIFF orthophotos to construct breaklines for the edge pavement. Breakline elevations were linearly ramped between identified critical elevation points along roads.LiDAR data LAS 1.1 format20080325Richard R. Hudson, PE, PSM, CPWoolpert, Inc.Project Manager407-381-2192407-384-1185www.woolpert.com8:00-5:00Monday-Fridaymailing and physical address
11315 Corporate Blvd
OrlandoFlorida32817USA3-D breaklinesClassified filtered Lidar dataUnknownGeoPlan received this data via hard drive from Jones Edmunds on 5/5/10. The Florida Division of Emergency Management contracted this data out to Woopert. When received the data was in a series of file geodatabases. The data was merged into 1 file geodatabase and clipped to the appropriate county boundary. The feature class was projected from varying State Plane projections - feet to Albers HPGN. -Added SOURCE field and populated all values to WOO
-Added FGDLAQDATE field based on date GeoPlan acquired data from source
-Changed name from original Woorpert name to TOPO2FT_WOOLPERT_COUNTYGeoPlan20100805All breakline features are an accurate three-demensional representation of the surface with varying elevations. Roadbreakline features were captured at edge of pavement. The LiDAR (masspoint) feature class consists of 104 tiles (Area_A).
GeoPlan relied on the integrity of the attribute information within
the original data.VectorString310488SimplePolylineFALSE310488TRUEFALSEcoordinate pair0.0020480.002048metersAlbers Conical Equal Area24.00000031.500000-84.00000024.000000400000.0000000.000000D_North_American_1983_HARNGeodetic Reference System 806378137.000000298.257222Albers Conical Equal AreaGCS_North_American_1983_HARNHPGNGeodetic Reference System 806378137.000000298.257222North American Vertical Datum of 19880.000100feetExplicit elevation coordinate included with horizontal coordinatesTOPO2FT_WOOLPERT_SARASOTAFeature Class310488TOPO2FT_WOOLPERT_SARASOTADTMOBJECTIDOBJECTIDOID400Internal feature number.ESRISequential unique whole numbers that are automatically generated.ShapeShapeGeometry000Feature geometry.ESRICoordinates defining the features.CONTOUR_ELEVATION_MSCONTOUR_ELEVATION_MSDouble800Contour Elevation in feetDTMCONTOUR_TYPE_DESCCONTOUR_TYPE_DESCString5000FDEM Baseline SpecificationsDescription of represented contour type1Intermediate Contours - the three or four lines between adjacent index contours are about half the line weight of index contours. They are normally continuous throughout a map, but may be dropped or joined with an index contour where the slope is steep and where there is insufficient space to show all of the intermediate lines.2Supplementary Contours - used to portray important relief features that would otherwise not be shown by the index and intermediate contours (basic contours). They are normally added only in areas of low relief, but they may also be used in rugged terrain to emphasize features. Supplementary contours are shown as screened lines so that they are distinguishable from the basic contours, yet not unduly prominent on the published map.3Depression Contours - closed contours that surround a basin or sink. They are shown by right-angle ticks placed on the contour lines, pointed inward (down slope). Fill contours are a special type of depression contours, used to indicate an area that has been filled to support a road or railway grade.4 Index Contours - defined as every 5th contour line. For example, with the Contour_2FT feature class, the first positive intermediate contour would be 0 with the following index contours at 10, 20, 30 feet, etc.5INTERMEDIATE LOW CONFIDENCE6SUPPLEMENTARY LOW CONFIDENCE7DEPRESSION LOW CONFIDENCE8INDEX LOW CONFIDENCEDATESTAMP_DTDATESTAMP_DTDate800The date the feature was added to the geodatabaseFDEM Baseline SpecificationsShape_LengthShape_LengthDouble800Length of feature in internal units.ESRIPositive real numbers that are automatically generated.FGDLAQDATEFGDLAQDATEDate800Data GeoPlan acquired data from sourceGeoPlanSOURCESOURCEString300Abbreviated 3-letter code representing the data source.GeoPlanWOO WoolpertThis data set was designed in accordance with FDEM Baseline Specifications 1.2 (5.2.1.4)Entity and Attribute information designed in accordance to FDEM Baseline Specifications 1.2 (Attachment 3)Entity and Attribute information designed in accordance to FDEM Baseline Specifications 1.2 (Attachment 3)mailing address
431 Architecture PO Box 115706
GainesvilleFlorida32611-5706United StatesFlorida Geographic Data Library (FGDL)Web site: http://www.fgdl.orgTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFor FGDL Software: http://www.fgdl.org/software.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlDOWNLOADABLE DATA0.388ASCIICD-ROMDigitalNone.The Florida Geographic Data Library is a collection of Geospatial Data
compiled by the University of Florida GeoPlan Center with support from
the Florida Department of Transportation. GIS data available in FGDL is
collected from various state, federal, and other agencies (data sources)
who are data stewards, producers, or publishers. The data available in
FGDL may not be the most current version of the data offered by the
data source. University of Florida GeoPlan Center makes no guarantees
about the currentness of the data and suggests that data users check
with the data source to see if more recent versions of the data exist.
Furthermore, the GIS data available in the FGDL are provided 'as is'.
The University of Florida GeoPlan Center makes no warranties, guaranties
or representations as to the truth, accuracy or completeness of the data
provided by the data sources. The University of Florida GeoPlan Center
makes no representations or warranties about the quality or suitability
of the materials, either expressly or implied, including but not limited
to any implied warranties of merchantability, fitness for a particular
purpose, or non-infringement. The University of Florida GeoPlan Center
shall not be liable for any damages suffered as a result of using,
modifying, contributing or distributing the materials.
A note about data scale: Scale is an important factor in data usage. Certain scale datasets
are not suitable for some project, analysis, or modeling purposes.
Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the
county level.
1:24000 data should NOT be used for high accuracy base mapping such
as property parcel boundaries.
1:100000 scale datasets are recommended for projects that are at the
multi-county or regional level.
1:125000 scale datasets are recommended for projects that are at the
regional or state level or larger.
Vector datasets with no defined scale or accuracy should be
considered suspect. Make sure you are familiar with your data
before using it for projects or analysis. Every effort has been
made to supply the user with data documentation. For additional
information, see the References section and the Data Source Contact
section of this documentation. For more information regarding
scale and accuracy, see our webpage at:
http://geoplan.ufl.edu/education.htmlThis data is intended for use with a Geographic Information Systems or Remote Sensing software package.20100825mailing address
2555 Shumard Oak Boulevard
TallahasseeFlorida32399-2100USA850-413-9907850-488-1016GIS Administratorrichard.butgereit@em.myflorida.comFlorida DEMRichard ButgereitFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timehttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata Profileenhttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata Profile2010082515495300FALSE20100825164023002010082516402300Merge 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PROJCS['NAD_1983_HARN_StatePlane_Florida_West_FIPS_0902_Feet',GEOGCS['GCS_North_American_1983_HARN',DATUM['D_North_American_1983_HARN',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]],VERTCS['NAVD_1988',VDATUM['North_American_Vertical_Datum_1988'],PARAMETER['Vertical_Shift',0.0],PARAMETER['Direction',1.0],UNIT['Foot_US',0.3048006096012192]]SelectLayerByLocation topo2ft_woolpert_Layer INTERSECT H:\lidar_output\shapes\counties_woolpert\charlotte_08.shp # NEW_SELECTION topo2ft_woolpert_Layer{B1B90E64-9B40-41F6-94B2-F0F24DD8F596}20100825Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.4000Sarasota County 2ft 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