EarthData International20050308topo.GISADMIN.Contours2004vector digital datatopo.GISADMIN.Contours2004Service=sde:sqlserver:gissql; Database=ruthco; User=ga; Version=dbo.DEFAULT
This metadata record describes the development of a
bare earth digital terrain model and contours from lidar of
Rutherford County.
Rutherford County has contracted the production of digital
terrain models and contours from LIDAR data to support
land-use planning, risk-assessment and emergency
response agencies.
en20050308Publication DateUnknown-86.703807-86.14130336.10203535.6169261760579.1364881926502.531478467977.625389643850.639793EDI ThesaurusLIDARDigital Elevation ModelReflective SurfaceDigital Terrain ModelBare EarthBreaklinesContoursGeographic Names Information SystemRutherford CountyTennesseeNoneNoneEarth Data InternationalRaquel CharroisProject Managermailing and physical address
7320 Executive Way
FrederickMaryland21704USA(301)948-8550Mon - Fri 9:00 am to 5:00 pmMicrosoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350SDE Feature Class
This data has been produced to be fully compliant with
National Map Accuracy Standards for mapping at a scale
of 1 to 1,200.
Compliance with the accuracy standard was ensured by
the placement of GPS ground control prior to the
acquisition of aerial photography. The following checks
were performed.
1. The ground control and airborne GPS/IMU data stream
were validated through a "bore site" calibration sensor
overflight.
2. The lidar was checked against the
project control. The technician visited and confirmed the
accuracy of the points during initial processing.
The following methods are used to assure imagery
accuracy.
1. Use of IMU and ground control network utilizing GPS
techniques.
The following software was used for the validation.
1. Bentley - Microstation
2. Terrasolid - Terrascan
3. Trimble - Terramodeler
4. ESRI - ArcInfo
6. EarthData Proprietary software
Ensuring the National Standard for Spatial Data Accuracy
(NSSDA) published by the Federal Geographic Data
Committee (FGDC) in 1998 standards are met.
The LIDAR data fully complies with National Map
Accuracy Standards for production of 2 foot contours.
The LIDAR data fully complies with National Map
Accuracy Standards for production of 2 foot contours.
BWSC20060406GPS Ground Controlmodel1200electronic mail system2004022420040226Ground ConditionGround Control
BWSC, under contract to EarthData International of
Maryland targeted 50 locations prior to aerial imagery
acquisition. The points were surveyed using GPS for both
vertical and horizontal coordinate values. Ground control
references Tennessee State Plane NAD83, NAVD88 both
in US Survey Feet.
EarthData Aviations20040412Rutherford County LIDAR Acquisitionprofile1200firewire2004031120040322Ground ConditionAcquisition
The LIDAR acquisition for Rutherford County was
flown to support the creation of 2 inch pixel. The LIDAR
data was acquired in three sorties at 6000 feet AMT using
the Leica ALS40 sensor.
EarthData has developed a unique method for processing
lidar data to identify and remove elevation points falling
on vegetation, buildings, and other aboveground
structures. The algorithms for filtering data were utilized
within EarthData's proprietary software and commercial
software written by TerraSolid. This software suite of tools
provides efficient processing for small to large-scale,
projects and has been incorporated into ISO 9001
compliant production work flows. The following is a
step-by-step breakdown of the process.
1. Using the lidar data set provided by EarthData, the
technician performs calibrations on the data set.
2. Using the lidar data set provided by EarthData, the
technician performed a visual inspection of the data to
verify that the flight lines overlap correctly. The technician
also verified that there were no voids, and that the data
covered the project limits. The technician then selected a
series of areas from the dataset and inspected them where
adjacent flight lines overlapped. These overlapping areas
were merged and a process which utilizes 3-D Analyst and
EarthData's proprietary software was run to detect and
color code the differences in elevation values and profiles.
The technician reviewed these plots and located the areas
that contained systematic errors or distortions that were
introduced by the lidar sensor.
3. Systematic distortions highlighted in step 2 were
removed and the data was re-inspected. Corrections
and adjustments can involve the application of angular
deflection or compensation for curvature of the ground
surface that can be introduced by crossing from one type
of land cover to another.
4. The lidar data for each flight line was trimmed in batch
for the removal of the overlap areas between flight lines.
The data was checked against a control network to
ensure that vertical requirements were maintained.
Conversion to the client-specified datum and projections
were then completed. The lidar flight line data sets were
then segmented into adjoining tiles for batch processing
and data management.
5. The initial batch-processing run removed 95% of points
falling on vegetation. The algorithm also removed the
points that fell on the edge of hard features such as
structures, elevated roadways and bridges.
6. The operator interactively processed the data
using lidar editing tools. During this final phase the
operator generated a TIN based on a desired thematic
layers to evaluate the automated classification performed in
step 5. This allowed the operator to quickly re-classify
points from one layer to another and recreate the TIN
surface to see the effects of edits. Geo-referenced images
were toggled on or off to aid the operator in identifying
problem areas. The data was also examined with an
automated profiling tool to aid the operator in the
reclassification.
6.The data were separated into a bare-earth DEM. A
grid-fill program was used to fill data voids caused by
reflective objects such as buildings and vegetation. The
final DEM was written to an ASCII XYZ format.
7. The reflective surface data were also delivered in ASCII
Grid format.
LIDAR Processing20040624LIDAREarthData InternationalRaquel CharroisProject Managermailing and physical address
7320 Executive Way
FrederickMD21704USA(301)948-8550
This process describes the method used to compile
breaklines to support the lidar digital elevation model data.
Around the perimeter of the lidar data set to
complete the surface model all breaklines
were photogrammetrically derived . The following
step-by-step procedures were utilized for breakline
development. The breakline file contains three
dimensional accurate line strings describing topographical
features. The relationship of lidar points to breaklines will
vary depending on the complexity and severity of the
terrain. Breaklines are collected where necessary to
support the final product. Examples of some such locations
include along the edges of roads, stream banks and
centerlines, ridges, and other features where the slope of
the terrain changes.
1. Using the ADS40 imagery provided by EarthData
Aviations the technician loaded the data into the ISTAR
processing system. Aerotriangulation is perfumed and
stereo pairs created.
2. Stereo pairs are then imported in to the ZI SSK softcopy
mapping system.
3. Breakline data was captured in the MicroStation
environment, which allowed the photogrammetrist to see
graphically where each lidar X, Y, and Z point and any
breaklines fall in relation to each other. This unique
approach allowed for interactive editing of the breakline
by the photogrammetrist. The technician generated a set of
temporary contours for the stereo model in the ZI work
environment to provide further guidance on the breakline
placement. The technician added and/or repositioned
breaklines to improve the accuracy as required. Once
these processes were completed, the temporary guidance
contours were deleted, and the data was passed to the
editing department for quality control and formatting.
4. The breakline data set was then put into an ESRI shape
file format.
Breakline Surface Modeling20040705BreaklinesEarthData InternationalRaquel CharroisProject Managermailing and physical address
7320 Executive Way
FrederickMD21704USA(301) 948-8550
EarthData International generated 2 foot contours from the
Lidar Bare Earth DEM and supplemental breaklines by
using the following methodology.
The contours were generated and edited using the
following software packages.
1. MicroStation V8
2. TerraScan 4.14
3. TerraSolid 4.008
Using TerraScan the Lidar points were edited, thinned,
merged with the breaklines and smoothed. Terramodel
was used to generate the contours. Elevation and Index
were the attribute fields which represent each contour line.
The contours were cut into sheets and delivered in shape
file format.
Contour Development20040903ContoursEarthData InternationalRaquel CharroisProject Managermailing and physical address
7320 Executive Way
FrederickMD21701(301) 948-8550Metadata imported.C:\DOCUME~1\sstevens\LOCALS~1\Temp\xmlC4C.tmp20070810Dataset copied.Server=sqlsvr1; Service=esri_sde; Database=sde; User=sde; Version=sde.DEFAULT20080626Dataset copied.Service=sde:sqlserver:gissql; Database=ruthco; Version=dbo.DEFAULT20080627Dataset copied.\\GIS_PT1_07\C$\temp\ruthco_load2.gdb200806270VectorSimplePolylineFALSE1146885TRUETRUEString1146885coordinate pair0.0001180.000118survey feetLambert Conformal Conic35.25000036.416667-86.00000034.3333331968500.0000000.000000North American Datum of 1983Geodetic Reference System 806378137.000000298.257222GCS_North_American_1983NAD_1983_StatePlane_Tennessee_FIPS_4100_FeetNorth American Vertical Datum of 19880.250000MetersExplicit elevation coordinate included with horizontal coordinatesRutherford CountyBarbara Seiversmailing and physical address
104 Rutherford County Courthouse
MurfreesboroTNTN(615) 907-3155NoneDownloadable Data20070813EarthData InternationalRaquel CharroisProject Managermailing and physical address
7320 Executive Way
FrederickMD21701(301) 948-8550FGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998enlocal timehttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata Profile
Rutherford County LIDAR
2012121117001000FALSE200708130846390020070813084639001.0Server=sde2; Service=sde:sqlserver:sde2; Database=mboro; Version=dbo.DEFAULTArcSDE ConnectionMicrosoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350Contours 20041760579.1364881926502.531478643850.639793467977.6253891-86.703807-86.14130336.10203535.6169261ContoursContours 2004ISO 19115 Geographic Information - MetadataDIS_ESRI1.0dataset002file://Service=sde:sqlserver:gissql; Database=ruthco; User=ga; Version=dbo.DEFAULTLocal Area NetworkSDE Feature ClassNAD_1983_StatePlane_Tennessee_FIPS_4100_Feet1146885topo.GISADMIN.Contours2004Feature Class1146885OBJECTIDOBJECTIDOID4100Internal feature number.ESRISequential unique whole numbers that are automatically generated.ELEVELEVDouble8110TYPETYPEString1200SHAPESHAPEGeometry400Feature geometry.ESRICoordinates defining the features.SHAPE.lenSHAPE.lenDouble00020070813
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