Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 127-135, 2017
https://doi.org/10.5194/isprs-archives-XLII-5-W1-127-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
15 May 2017
THE TOMB OF SETI I (KV17) IN THE FLORENCE EGYPTIAN MUSEUM. INTEGRATED NON-INVASIVE METHODS FOR DOCUMENTATION, MATERIAL HISTORY AND DIAGNOSTICS
M. Coppola1, S. Bracci2, E. Cantisani2, and D. Magrini2 1DIDA, Dept. of Architecture, University of Florence, Italy
2ICVBC - CNR, Florence, Italy
Keywords: Seti I, Egyptian architecture, Imaging, KV17, Egyptian Blue, Diagnostics, Florence Egyptian Museum Abstract. The tomb of Seti I (KV17) is a magnificent example of New Kingdom funerary architecture, among the longest tombs in the Valley of the Kings. As part of a collaboration between the Egyptian Museum in Florence, the University of Florence and CNR, a survey project was launched, with non-invasive methods, on the fragments from the Seti I tomb, in Florence, coming from a gate jamb connecting the chamber F to the corridor G, taken by the franco-tuscan expedition in 1829. The primary goal is to achieve the best level of documentation, knowledge of the material history and conservation assessment. Preliminary results allowed to focus some steps of the history of this fragment, from its realization to the present. The digital documentation created an excellent support for the mapping and management of the collected information. Even if still on a preliminary phase, this study shows how the combination of imaging and spectroscopic techniques allowed the characterization of many materials and the mapping of their distribution on the surface. Several original pigments have been identified as well as many anomalies due to subsequent interventions.
Conference paper (PDF, 5344 KB)


Citation: Coppola, M., Bracci, S., Cantisani, E., and Magrini, D.: THE TOMB OF SETI I (KV17) IN THE FLORENCE EGYPTIAN MUSEUM. INTEGRATED NON-INVASIVE METHODS FOR DOCUMENTATION, MATERIAL HISTORY AND DIAGNOSTICS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 127-135, https://doi.org/10.5194/isprs-archives-XLII-5-W1-127-2017, 2017.

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