Detection of burials at the Confederated Tribes of Siletz Indians historic period cemetery, Oregon : a comparison of ground-based remote sensing methods Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/7w62fd50v

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  • This project hypothesizes that the use of multiple ground-based remote sensing methods can collectively characterize the geophysical signatures of four marked human burials at the Confederated Tribes of Siletz Indians historic period cemetery. If the geophysical signatures of the marked burials can be characterized, these signatures may be used to located unmarked burials within the Siletz cemetery. To investigate this hypothesis, several research questions focused on the results from topographic, cesium gradiometer, and ground-penetrating radar surveys. A 15m x 15m region of the cemetery containing four marked burials defines the survey region. The results of each survey were individually and collectively examined to identify the characteristic geophysical signatures of the four marked burials. The topographic and magnetic surveys identified geophysical anomalies spatially associated with the some of the marked burials. The ground-penetrating radar survey was the most productive by identifying geophysical anomalies spatially associated with all four marked burials. Even though signals from the burials appeared with mixed results, it proved difficult to characterize the geophysical signatures of the burials in the individual and collective geophysical data. Without a characterization of the geophysical signature of the marked burials, it is difficult to identify unmarked burials at the Siletz cemetery. Due to the success of the radar at "seeing" all four marked burials it may be possible to identify areas free of unmarked burials.
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  • description.provenance : Submitted by Kirsten Clark (kcscannerosu@gmail.com) on 2012-09-07T19:33:18Z No. of bitstreams: 2 Archive disc.zip: 297393070 bytes, checksum: 1b38c4c6e583509ebf50ef68ebabe98f (MD5) RogersMichael 2001.pdf: 10212564 bytes, checksum: d08f757365e5fff587a334d74fae37b3 (MD5)

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