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Cited by 0Archaeological Research and ProtectionGeophysical Methods and ApplicationsArchaeology and Cultural Heritage

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Google earth engine as a base for developing microregional pre-hispanic occupation predictive models: the high valleys of catamarca as a case study

Lepori, Matias·2026·Archaeological Prospection
DOI 10.1002/arp.70018
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Abstract

The use of satellite remote sensing data has become one of the most employed methodologies for the initial stages of prospections and detection of archaeological features, especially considering the increasing availability and low costs of these approaches. Nowadays, it is even possible to work with the capabilities of freely available planetary‐scale cloud computing platforms such as Google Earth Engine (GEE) and make use of the data accumulated over the last five decades in novel ways. Here, we introduce a methodology that combines ethnographic information and the calculation of a widely used vegetation index from several datasets in order to predict the location of archaeological occupations in areas which cannot be easily accessed. The selection of satellite images to be used takes three factors into consideration: temporal amplitude, spatial resolution and product quality. We are also interested in studying the differences that may exist in the application of the same methodology on different satellite image datasets. Due to geomorphological conditions and archaeological survey strategies, we have to deal with vast unprospected areas above 3300 m above sea level and the subsequent lack of information. Thus, we decided to work in the identification of vegetation (and water) patches that could have attracted the concentration of human occupations, paying special attention to recurrence and predictability, factors that could have favoured the return of people at different times, leaving more intense signs on the surface. This strategy has allowed us not only to advance in the identification of new spaces with a recurrent availability of water and vegetation, known in the literature and among locals as ‘vegas de altura’ (translated as highland marshes or peatlands), register features that could correspond to archaeological occupations and plan pedestrian prospections there. In addition, the applied methodology can also be used to monitor changes in the conditions of growth and decline of these fragile environments.

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Crossref · 10.1002/arp.70018

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Research works printed but not linked: 27

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Metadata

Authors
Lepori, M.
Affiliations
Instituto de Datación y Arqueometría (InDyA) Jujuy Argentina
ORCID
Lepori, Matias
Venue
Archaeological Prospection
Publisher
Wiley
Published
2025-11-27
Volume
33
Issue
1
Pages
215-227
ISSN
  • 1075-2196 (ISSN-L)
  • 1099-0763
DOI
10.1002/arp.70018
OpenAlex
W7106800858
Cited by
0
References
29
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Licence
Locations
Archaeological Prospection (publishedVersion)
Funders
Fondo para la Investigación Científica y Tecnológica (PICT‐2016‐0599)
Topics
  • Social Sciences › Archeology › Archaeological Research and Protection
  • Physical Sciences › Earth and Planetary Sciences › Geophysics › Geophysical Methods and Applications
  • Social Sciences › Arts and Humanities › Archeology (arts and humanities) › Archaeology and Cultural Heritage
Keywords
Google Earth Engine, pre-Hispanic occupation, archaeological site prediction, vegetation indices, peatlands, water bodies, ethnographic information, cloud computing, environmental monitoring

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