Title | Imagery integration methods for precise geological mapping of rugged terrains, Alberta, Canada |
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Author | Lebel, D ; Kenny,
G; Kirkwood, D; Pouliot, J; Marcil, J -S; Deblonde, C; Molard, P |
Source | Photogrammetric Engineering and Remote Sensing no. 5, 2007 p. 585-593, https://doi.org/10.14358/pers.73.5.583 Open Access |
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Year | 2007 |
Alt Series | Earth Sciences Sector, Contribution Series 2005001 |
Publisher | American Society for Photogrammetry and Remote Sensing |
Document | serial |
Lang. | English |
Media | paper; on-line; digital |
File format | pdf |
Province | Alberta |
Area | Moose Mountain; North Cliff |
Subjects | general geology; mapping techniques; geological surveys; geological research; photogrammetric techniques; photogrammetric surveys |
Illustrations | location maps; aerial photographs; diagrams; photographs |
Program | Consolidating Canada's Geoscience Knowledge |
Released | 2007 05 01 |
Abstract | This paper reports on new geological mapping techniques using the rugged area of Moose Mountain, Alberta as a test site. First, we present a web-accessible photographic database that facilitates
interactive visualization of multiple rock exposures for geology mapping, and second, the results of analysis of two readily available oblique photogrammetric methods, that have been previously applied to archeological and industrial surveys. These
two techniques of high-resolution terrestrial oblique photogrammetry called "block bundle" and "terrain rendering" were tested using the web database, in order to evaluate their precision and accuracy as mapping techniques. The efficiency of the
new techniques to support geological mapping is compared to other mapping techniques. The results show that in conditions where highresolution digital elevation and imagery data are available, a web-based terrain rendering technique, combined with a
web-accessible photographic database of rock exposures is advantageous to a wide range of geological analyses, including analog modeling of hydrocarbon reservoirs. |
GEOSCAN ID | 220411 |
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