International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
application database and spatial data server. High-resolution
satellite orthoimages and a DEM are utilized to present officials
with a virtual 3D site environment. The subsystem shares the
same database with the on-site mobile spatial subsystem
through a wireless Internet connection.
EXPERIMENTAL RESULTS
The erosion awareness subsystem was tested in a study area
along the southern Lake Erie coast that extends for eleven
kilometers from Sandusky to Vermilion, Ohio. Figure 6 shows
the interface of the subsystem. Linear regression techniques are
used to predict future shorelines for the years 2010, 2020, and
2050 for numerous transects drawn perpendicular to the actual
shoreline of 1990. The purpose was to visually overlay these
future shorelines onto property parcel data obtained from Erie
County. This enables coastal residents to see different erosion
scenarios (Figure 7). Those parcels that would experience
erosion in the future are highlighted in yellow in Figure 7. The
subsystem also provides coastal residents with a 3D
visualization of the coastal terrain model and the water surface,
an animation of bluff erosion, a panoramic view of the test area,
and a simulated fly-through of the test area.
Applicant Application Structure
ApplD > AppID —— AppID
ParcellD Date CenterX
OwnerlD Status CenterY
LefiNeiehberiD IS d di s. Designer
RightNeighborlD Type
dessen Material
Length
ParcelMap Width
ParcelOwner I» ParcelID Blueprint
OwnerlD Area | ParcellD
ParcelID Perimeter Azimuth
Arca OwnslD. |... d i...
Pernmeter — 3j — d.
OwnerlD
TAXID
Figure 5. Logical Data Model of the Coastal Structure
Permit System.
Digital Governinent Project- The Ohio State University
Web-based !
oreline Erosion Awareness System
Couctat Resident Support Bluff Frosiou Scenario. 3D. Visualization Panoramic Tour
Figure 6. The Web-based Erosion Awareness Subsystem.
Figure 8 displays the first page of the coastal structure permit
subsystem. An official can access and review pending
applications and link to other subsystems from this web page.
Figure 9 shows a snapshot of the 3D visualization and
evaluation tool of this subsystem. For example, an applicant
submitted an application for construction of a revetment to
protect a property that was threatened by erosion. After
delivery to ODNR, the original paper design map was digitized
and a 3D CAD-based structure model was extracted.
Displaying the historic, current and future shorelines, as well as
the structure, in a 3D scene shows that there is a potential
erosion threat to the property. The subsystem performed the
following predefined analysis. First, by comparing the spatial
extension of the structure with the parcel boundary, the
structure was seen to be within the applicant’s property limit.
Second, by comparing the position of the structure to the severe
shoreline erosion area, the proposed structure was seen to be
stable, i.e., that it will not be flanked by erosion. Third, by
comparing the historical mean-high-water level (MHWL), the
structure was seen to be sufficiently higher than the water level,
thus being of sufficient height. Fourth, by comparing the
structure's position with the shoaling distribution, the structure
is seen not to be subject to shoaling. In consequence, the
subsystem assessment determined that the structure would
remain stable and its purpose could be fulfilled. Additional site
inspection will be required to examine the site’s actual existing
circumstances; the on-site mobile spatial subsystem will greatly
aid this process.
Figure 7. Example of Future Shoreline and Potential
Parcels Affected.
n Ripley 2/2/2004
Yo Applhcätontsy S
titan d
Pending Applications
Search |
My Account
Database Maintainance
Log Off |
Figure 8. First Page of Coastal Structure Permit Subsystem.
Figure 10 shows the web-based interface of the mobile spatial
subsystem, which has been implemented with ArcIMS ActiveX
Connecter, Microsoft ASP.Net, ADO.Net, and the C#
language. It provides simple map browsing (Zoom In, Zoom
Out, and Pan) and query (Identify and Query) functions. Data
used in this subsystem includes Erie County (OH) parcel maps,
a digital T-Sheet shoreline, and a coastal structure information
table. The coastal structure information table stores information
related to coastal structures including parcel number,
application number, center coordinates of the parcel, size and
material of the structures, etc. These data are saved in a
Windows 2000 server in the Mapping and GIS Laboratory at
The Ohio State University. An experiment was carried out
along the Lake Erie shore in Sandusky, Ohio, in early July
2003. After arriving at the designated applicant’s parcel, the
GPS signal was first received for the spatial coordinates of the
Interna
parcel, w
coordinat
server thi
into the
request fc
the parce
to the PI
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