Wouter Verschoof‐van der Vaart

Leiden University — Netherlands

Earth and Planetary Sciences · Physical Sciences

9h-index484citations22works1.62yr avg
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Research Topics

Archaeological Research and Protection(17), 3D Surveying and Cultural Heritage(11), Conservation Techniques and Studies(7), Archaeology and ancient environmental studies(5), Image Processing and 3D Reconstruction(4)

Publications22 total

ARCfieldLAB: Stimulating Networks, Knowledge Exchange, and Experimentation in Applied Sensor Archaeology for Dutch Field Research
Advances in Archaeological Practice·2025Open Access
13 Using Citizen Science to map hollow roads in LiDAR data from the Netherlands. Results from the Heritage Quest project
2025· 1 citedOpen Access
Beyond the Greater Angkor Region: Automatic large-scale mapping of Angkorian-period reservoirs in satellite imagery using deep learning
PLoS ONE·2025· 5 citedOpen Access
Making sense of fossils and artefacts: a review of best practices for the design of a successful workflow for machine learning-assisted citizen science projects
PeerJ·2025· 1 citedOpen Access
Land Use Legacy Landforms at the UNESCO Heritage Site Tarnowskie Góry, Upper Silesia, Poland—Stratigraphy, Soils and Age
Geoarchaeology·2024· 1 citedOpen Access
Assessing the quality of citizen science in archaeological remote sensing: results from the Heritage Quest project in the Netherlands
Antiquity·2024· 2 citedOpen Access
Optical dating of charcoal kiln remains from WWII: A test of accuracy
Quaternary Geochronology·2024· 1 citedOpen Access
Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on Lidar Data
2023· 3 cited
Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data
arXiv (Cornell University)·2023· 1 citedOpen Access
Multi-Period Ore Exploitation in Upper Silesia, Central Europe
Journal of Field Archaeology·2023· 12 cited
Field systems and later prehistoric land use: New insights into land use detectability and palaeodemography in the Netherlands through LiDAR, automatic detection and traditional field data
Archaeological Prospection·2022· 6 citedOpen Access
Automated large‐scale mapping and analysis of relict charcoal hearths in Connecticut (USA) using a Deep Learning YOLOv4 framework
Archaeological Prospection·2022· 17 citedOpen Access
Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights
Remote Sensing·2022· 36 citedOpen Access
Soils on mining relicts in Upper Silesia, Poland – first results from the Mala Panew River catchment and the UNESCO heritage site Tarnowskie Góry 
2022Open Access
Applying automated object detection in archaeological practice: A case study from the southern Netherlands
Archaeological Prospection·2021· 34 citedOpen Access
Implementing State-of-the-Art Deep Learning Approaches for Archaeological Object Detection in Remotely-Sensed Data: The Results of Cross-Domain Collaboration
Journal of Computer Applications in Archaeology·2021· 20 citedOpen Access
Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands
Journal of Cultural Heritage·2020· 30 citedOpen Access
Boundingbox Localizer Tool (BLT) - Brandenburgische Technische Universität Cottbus-Senftenberg version
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands
ISPRS International Journal of Geo-Information·2020· 61 citedOpen Access
Laying the geophysical groundwork:
Archaeopress Publishing Ltd eBooks·2019· 1 cited
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Frequent Co-authors

Karsten Lambers(8), Quentin Bourgeois(5), Alexander Bonhage(4), Thomas Raab(4), Eva Kaptijn(4), Marco Fiorucci(3), Paolo Soleni(3), Arianna Traviglia(3), Anna Schneider(3), Ireneusz Malik(3), Alexandra Raab(3), Małgorzata Wistuba(2), Žiga Kokalj(2), Wojtek Kowalczyk(1), Bertrand Le Saux(1), Juergen Landauer(1), Martin S. Olivier(1), William B. Ouimet(1), Marcin Bohr(1), Beata Woskowicz‐Ślęzak(1)