Introduction:
This project will conduct an investigation of mapping
the Great Lakes shorelines by integrating airborne LIDAR data and the
newly available 0.6-m QuickBird images for the improvement of cost
effectiveness, accuracy, and efficiency. The quality of the shoreline
derived from the integration of the two data sources will be greatly
enhanced. Bluff edges and shoreline protection structures are sharply
represented by the LIDAR data. On the other hand, shoreline segments in
areas with a small slope, such as beaches, are difficult to delineate
using LIDAR data only. QuickBird images with a high resolution can be
used in this situation. As a result, an accuracy of 10 to 30 cm in the
vertical and 30 cm in the horizontal directions can be achieved for the
extracted shoreline, a significant enhancement over the IKONOS satellite
imagery mapping capability (2-3 m) and a close approximation of that of
aerial photogrammetry (tens of centimeters). Ground control points
surveyed by DGPS will be used to verify the achieved shoreline accuracy.
Using integrated method, we will produce new,
high-quality shoreline maps along Lake Erie shore at two study sites:
Painesville, OH and Old Woman Creek NERR. Because of the advantages of
this integrated approach, bluff lines and the coastal protection
structures will be mapped at a very high accuracy. Other coastal mapping
products such as shoreline maps, DEMs and orthoimages will also be
generated. The methods can also be applied to other areas of the Great
Lakes region.
This improved shoreline mapping technology will
directly benefit ODNR’s project at the state level for designation of
Lake Erie Coastal Erosion Areas using the resulting long- and short-term
changes detected from the integrated data sets. The 3-D shorelines that
will be produced will provide useful information for monitoring and
research programs at Old Woman Creek NERR. Mapping results of this
project will also support the Lake County GIS Department in their
regulatory coastal management activities.
Objectives
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In Year I, to improve and apply techniques for
processing LIDAR data (higher vertical and lower horizontal
accuracy) and QuickBird sub-meter satellite images (lower vertical
and higher horizontal accuracy);
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In Year II, to develop methods for integration of
LIDAR data and QuickBird images; and
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In Year III, to use the new integrated method for
Lake Erie shoreline mapping with an accuracy of 10 to 30 cm in the
vertical and 30 cm in the horizontal directions, and to assess
benefits over the traditional aerial photogrammetric shoreline
mapping method for the Great Lakes region.
Collaborators
Publications
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Li, R., S. Deshpande, X. Niu, F. Zhou,
K. Di, and B. Wu 2008, Geometric Integration of Aerial and High-Resolution
Satellite Imagery and Application in Shoreline Mapping Journal of Marine Geodesy
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Li, R., S. Deshpande, X. Niu, I-C. Lee,
and B. Wu 2008, Multi-dimensional Geospatial Data Integration for Coastal Change Analysis
The XXIth ISPRS Congress, Beijing, China
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Lee, I-C., B. Wu, and R. Li., 2009. Shoreline Extraction
from the Integration of LiDAR Point Cloud Data and Aerial Orthophotos Using
Mean Shift Segmentation. Proceedings of the ASPRS 2009 Annual Conference,
Baltimore, MD, March 9-13, 2009, 7 p. (CD-ROM).
Presentations
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Lee, I-C., S. Deshpande, X. Niu and R. Li 2008,
Coastal Change Analysis Supported by Multi-dimensional Geospatial Data ASPRS Annual
Conference, Portland, Oregon
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