The Department of Veteran Affairs agreed to fund NCPTT’s two-year continuation of the comparative study of commercially available cleaners for use on federally issued headstones.
Read more →The Michigan Historic Preservation Network and the Heritage Education Program at NCPTT have developed a formal working relationship to create Vocational Preservation Trades curriculum for high school students.
Read more →Christine Faith conducted a thorough program audit of the Teacher-to-Ranger-to-Teacher program at Big Thicket National Preserve.
Read more →A new preservation technique involving the use of supercritical fluids to dry waterlogged archaeological wood will be investigated and compared to current preservation treatments.
Read more →This project will devise protocols for the fusion of commercially available synthetic aperture radar (SAR) data with commercially available multispectral data for the inventory of archaeological sites.
Read more →Archaeologists have been using aerial photography and satellite imagery to locate and document large, high-contrast archaeological features since inception. But, what about smaller, low-contrast features utilized by past humans such as root patches and terrace cobble deposits?
Read more →Montana Preservation Alliance proposes to create a digital archive of the rich cultural landscape that is the Tongue River Valley.
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Existing conditions documentation of archaeological structures can be cut by 60% and can improve the accuracy and fidelity of the documentation by using scanning technology. This would optimize valuable human and financial resources for archaeologist and preservation specialist working to save our ‘Vanishing Treasures’.
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The research reported herein focuses on developing and testing predictive models based on the satellite remote-sensing (SRS) of prehistoric and historic archaeological phenomena. With advances in the resolution of satellite-borne imagery, such as IKONOS, and the availability of software designed to process such imagery, such as ENVI, archaeological predictive modeling is positioned to progress beyond simplistic “indirect” correlational studies involving gross ecological categories or subjective landform designations.
Read more →Debra Elaine Dandridge, Lichens: The Challenge for Rock Art Conservation, a Ph.D. dissertation submitted to the Office of Graduate Studies, Texas A&M University.
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