elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

AI-accelerated Nazca survey nearly doubles the number of known figurative geoglyphs and sheds light on their purpose

Sakai, Masato and Sakurai, Akihisa and Lu, Siyuan and Olano, Jorge and Albrecht, Conrad M and Hamann, Hendrik and Freitag, Marcus (2024) AI-accelerated Nazca survey nearly doubles the number of known figurative geoglyphs and sheds light on their purpose. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 121 (40), e2407652121. National Academy of Sciences. doi: 10.1073/pnas.2407652121. ISSN 0027-8424.

[img] PDF - Published version
7MB

Official URL: https://www.pnas.org/doi/10.1073/pnas.2407652121

Abstract

It took nearly a century to discover a total of 430 figurative Nazca geoglyphs, which offer significant insights into the ancient cultures at the Nazca Pampa. Here, we report the deployment of an AI system to the entire Nazca region, a UNESCO World Heritage site, leading to the discovery of 303 new figurative geoglyphs within only 6 mo of field survey, nearly doubling the number of known figurative geoglyphs. Even with limited training examples, the developed AI approach is demonstrated to be effective in detecting the smaller relief-type geoglyphs, which unlike the giant line-type geoglyphs are very difficult to discern. The improved account of figurative geoglyphs enables us to analyze their motifs and distribution across the Nazca Pampa. We find that relief-type geoglyphs depict mainly human motifs or motifs of things modified by humans, such as domesticated animals and decapitated heads (81.6%). They are typically located within viewing distance (on average 43 m) of ancient trails that crisscross the Nazca Pampa and were most likely built and viewed at the individual or small-group level. On the other hand, the giant line-type figurative geoglyphs mainly depict wild animals (64%). They are found an average of 34 m from the elaborate linear/trapezoidal network of geoglyphs, which suggests that they were probably built and used on a community level for ritual activities.

Item URL in elib:https://elib.dlr.de/206765/
Document Type:Article
Title:AI-accelerated Nazca survey nearly doubles the number of known figurative geoglyphs and sheds light on their purpose
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sakai, MasatoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sakurai, AkihisaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lu, SiyuanFaculty of Humanities and Social Sciences, Yamagata UniversityUNSPECIFIEDUNSPECIFIED
Olano, JorgeUniversité Paris 1 Panthéon-SorbonneUNSPECIFIEDUNSPECIFIED
Albrecht, Conrad MUNSPECIFIEDhttps://orcid.org/0009-0009-2422-7289UNSPECIFIED
Hamann, HendrikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Freitag, MarcusUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:September 2024
Journal or Publication Title:Proceedings of the National Academy of Sciences of the United States of America (PNAS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:121
DOI:10.1073/pnas.2407652121
Page Range:e2407652121
Publisher:National Academy of Sciences
ISSN:0027-8424
Status:Published
Keywords:Nasca culture, remote sensing, machine learning, artificial intelligence, UNESCO World Heritage
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical remote sensing, R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Albrecht, Conrad M
Deposited On:30 Sep 2024 12:30
Last Modified:02 Oct 2024 11:11

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.