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Assessing the quality of citizen science in archaeological remote sensing

Results from the Heritage Quest project in the Netherlands

Bibliographic Data

ID3780479
AuthorsQuentin Bourgeois (0000-0001-7518-2142, Leiden University, corresponding author), Eva Kaptijn (0000-0002-5426-4402), Wouter B Verschoof-Van Der Vaart (0000-0002-1053-3009, Netherlands Forensic Institute), Karsten Lambers (0000-0001-6432-0925, Leiden University)
Year2024
Volume98
Issue402
Pages1662-1678
Publication date2024-12-01
Open AccessYes
TypeARTICLE
VenueAntiquity (JOURNAL)
Journal identifiersISSN: 0003-598X • E-ISSN: 1745-1744
PublisherAntiquity Publications (PUBLISHER)
DOI10.15184/aqy.2024.127
OpenAlexW4403378939
LanguageEN
Citations received1
References cited29

Volunteers are a key part of the archaeological labour force and, with the growth of digital datasets, these citizen scientists represent a vast pool of interpretive potential; yet, concerns remain about the quality and reliability of crowd-sourced data. This article evaluates the classification of prehistoric barrows on lidar images of the central Netherlands by thousands of volunteers on the Heritage Quest project. In analysing inter-user agreement and assessing results against fieldwork at 380 locations, the authors show that the probability of an accurate barrow identification is related to volunteer consensus in image classifications. Even messy data can lead to the discovery of many previously undetected prehistoric burial mounds

Archaeology · Biology · Citizen science · Cultural heritage · Epistemology · Geography · Quality (philosophy) · Remote sensing · World heritage · 3D Surveying and Cultural Heritage · Archaeological Research and Protection · History · Philosophy · Species Distribution and Climate Change

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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