Accession Number : ADA571270


Title :   Integrating Archaeological Modeling in DoD Cultural Resource Compliance


Descriptive Note : Final rept. Jul 2007-Oct 2012


Corporate Author : SRI FOUNDATION RIO RANCHO NM


Personal Author(s) : Green, Paul R ; Altschul, Jeffrey H ; Heilen, Michael P ; Cushman, David W ; Homburg, Jeffrey A ; Lerch, Michael K ; Hayden, William E ; Trampier, Joshua R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a571270.pdf


Report Date : 26 Oct 2012


Pagination or Media Count : 409


Abstract : The purpose of Environmental Security Technology Certification Program (ESTCP) project RC-200720 was to (1) demonstrate that predictive models of archaeological site location are sufficiently accurate to serve as the foundation for programmatic approaches to compliance with the National Historic Preservation Act (NHPA) and the National Environmental Policy Act (NEPA) and (2) develop protocols for validating/refining predictive models and integrating them into the compliance process. The project involved two demonstration sites: Fort Drum, New York, and Eglin Air Force Base, Florida. Additional work was conducted at Saylor Creek Range, Idaho, and the Utah Test and Training Range, Utah. The technology needed to predict archaeological site location was demonstrated via the development and refinement of surface, subsurface, red flag, and zonal management models. The result shows that considerable savings in time and money can be achieved by focusing inventory and evaluation efforts on areas likely to contain sites and on significant sites and by integrating models into NHPA Section 106 Programmatic Agreements.


Descriptors :   *ARCHEOLOGY , *CULTURAL RESOURCES , *MANAGEMENT , ACCURACY , AIR FORCE FACILITIES , CULTURE , DEMONSTRATIONS , ENVIRONMENTS , HISTORY , INVENTORY , MODELS , POLICIES , PREDICTIONS , PRESERVATION , REFINING , RESOURCES , SECURITY , SITES , SUBSURFACE , TEST AND EVALUATION


Subject Categories : Humanities and History


Distribution Statement : APPROVED FOR PUBLIC RELEASE