By Ray A. Williamson (auth.), Ray A. Williamson, Paul R. Nickens (eds.)
ISBN-10: 1461368596
ISBN-13: 9781461368595
ISBN-10: 146154145X
ISBN-13: 9781461541455
Technology move has performed an more and more very important position in ancient protection in the course of the latter 1/2 the 20 th century, a state of affairs attested to by means of the project of an immense congressional learn in 1986 that assessed the function of federal organisations within the box. during this e-book top researchers replace the sooner findings and give a contribution cutting-edge stories and reviews of technological development of their components of expertise.
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Additional resources for Science and Technology in Historic Preservation
Sample text
Presented at the 52nd Annual Meeting of the Society for American Archaeology, Toronto May 9, 1987. 18 RAY A . A. 1994 Transferring Technology from Conservation Science to Infrastructure renewal. Public Roads Summer: 18-25. McHarg, 1. 1992 Design With Nature. New York, John Wiley Cst Sons, Inc. [Reprint of 1969 edition]. National Park Service 1995 Request for Proposals. National Park Service Preservation and Technology Training Grants, National Center for Preservation Technology and Training, Natchitoches, Louisiana.
The thermal properties of archaeological data were noted when the daytime data revealed roadways and buried wall features but not a prehistoric agricultural field. Conversely, the 10:00pm (local) night data did not show the roadways or buried features but delineated the agricultural field (Sever 1983; 1990). These effects resulted from the emissive effects of the different ground materials. Bennett et al. (1985) used TIMS data for archaeological research along the Red River in Oklahoma. The TIMS was also used to detect prehistoric footpaths in Costa Rica (Sheets and Sever 1988; 1991) (Fig.
Unsupervised classification methods were used to locate eighty-six archaeological sites in Bandelier, National Monument (Inglis et al. 1984). Currently, unsupervised techniques are being used in the Peten of northern Guatemala to map Maya lowland swamps (Stuart 1992: 94-107; Sever 1992). The final category for multispectral digital analysis is data merging. This process involves combining different types of data into spatially registered layers of information. In this way different types of sensor data, as well as different types of ancillary data such as topography, soils, and hydrology, can be merged together.
Science and Technology in Historic Preservation by Ray A. Williamson (auth.), Ray A. Williamson, Paul R. Nickens (eds.)
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