A Multi-temporal Analysis of Archaeological Site Destruction Using Landsat Satellite Data and Machine Learning, Moche Valley, Peru

Author(s): Nicole Payntar

Year: 2023

Summary

This is an abstract from the "SAA 2023: Individual Abstracts" session, at the 88th annual meeting of the Society for American Archaeology.

The destruction of archaeological sites and the loss of archaeological landscapes remains a global concern as populations and urban areas continue to expand. Archaeological sites are not only significant to local communities, national identities, and modern tourist economies but also provide critical knowledge of past sociocultural interactions, settlement patterns, human-environment relationships, and risk mitigation strategies. While archaeological landscapes and site destruction have remained outside of traditional land-use, land-cover change (LULCC) studies, they are a form of urban and agricultural land use. By conceptualizing archaeological site destruction within land-change science, this study provides an innovative approach for assessing “what’s left” of historically surveyed archaeological landscapes. Using a Random Forest algorithm and Landsat satellite data, this study quantifies archaeological site destruction attributed to LULCC in Peru’s lower Moche Valley between 1985 and 2020. Over 400 archaeological sites previously recorded during the Chan Chan-Moche Valley Project (CCMVP, 1969–1974) are analyzed. Results indicate that less than a quarter of the original CCMVP sites remain on the landscape. The primary drivers of LULCC in the lower Moche Valley include population growth, migration, and government policies, while secondary drivers include heritage values.

Cite this Record

A Multi-temporal Analysis of Archaeological Site Destruction Using Landsat Satellite Data and Machine Learning, Moche Valley, Peru. Nicole Payntar. Presented at The 88th Annual Meeting of the Society for American Archaeology. 2023 ( tDAR id: 474526)

Spatial Coverage

min long: -82.441; min lat: -56.17 ; max long: -64.863; max lat: 16.636 ;

Record Identifiers

Abstract Id(s): 36241.0