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The Architectural Layout and Degree of Preservation of the Sanctuary of Pachacamac Archaeological Complex (2nd to 16th Centuries AD, Peru) from the Morphometric Analysis of Orthophotogrammetric Data.

Authors :
Magnini, Luigi
Del Gaudio, Pierdomenico
Apa, Maria Ilaria Pannaccione
Pozzi-Escot, Denise
Oshiro, Janet
Angeles, Rommel
Ventura, Guido
Source :
Remote Sensing; Jan2025, Vol. 17 Issue 1, p67, 15p
Publication Year :
2025

Abstract

Archaeological complexes are characterized by different degrees of damage related to both natural events and anthropogenic triggers. The damage may be assessed through direct observation or remotely acquired data. Here, we present a morphometric analysis of a digital surface model (DSM) obtained from an orthophotogrammetric survey at the Sanctuary of Pachacamac Archaeological Complex, Peru (2nd to 16th centuries AD), which includes temples, enclosures, huacas, and roads. We determine different morphometric parameters to quantitatively describe the architectural layout of the site. These are aspect, slope, range, and topographic position index (TPI). We applied a modified TPI classification to measure the different degrees of preservation of the walls of the archaeological structures and recognize preserved, partly preserved, partly destroyed, and destroyed walls. The walls of the site show different degrees of preservation related to the damage associated with earthquakes and El Niño destructive events. The architectural layout of the archaeological site is defined by NW-SE and NE-SW striking walls. This is due to buildings constructed along the two main NW-SE and NE-SW striking roads of the Qhapac–Ñan road network. The prevailing El Niño wind direction may also explain the observed architectural layout. Morphometric parameters can be used to estimate the degree of conservation of archaeological sites. Our analytical approach can be applied to modern buildings damaged by natural events or human activities. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
17
Issue :
1
Database :
Complementary Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
182446124
Full Text :
https://doi.org/10.3390/rs17010067