Wouter Verschoof-van der Vaart
Postdoc / guest
- Name
- W.B. Verschoof-van der Vaart MA
- Telephone
- +31 71 527 NVT
- w.b.verschoof@arch.leidenuniv.nl
- ORCID iD
- 0000-0002-1053-3009
Wouter Verschoof-van der Vaart is a guest researcher in Digital Archaeology.
More information about Wouter Verschoof-van der Vaart
News
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Archaeologist Wouter Verschoof-van der Vaart wins the IALA dissertation award for his doctoral thesis -
Citizen scientists discover more than 1,000 new burial mounds -
Heritage Quest project wins European Heritage Europa Nostra Award -
Citizen science project Heritage Quest wins European Heritage Award / Europa Nostra Award 2022 -
The archaeology of face masks: ‘Face masks layers will be a huge help for future archaeologists’
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Leiden archaeology project nominated for volunteer prize -
Archaeologists find Roman camp near Ermelo -
A Roman camp or not? How our archaeologists found the answer -
Employing Artificial Intelligence in the search for archaeological remains -
The kick of citizen science: ‘It's a kind of addiction’ -
Hunt for archaeological remains without leaving your home -
Archaeology thanks to computer-based research -
444 Interdisciplinary Activity Grant for Alex Brandsen and Wouter Verschoof-van der Vaart -
A digital eye for archaeologists -
Preserve burial mounds from the comfort of your own home -
'Data science enables us to develop new tools'
See also
Research
Wouter’s research interests lie in the practical application of remote sensing techniques (such as aerial photography, geophysics, and LIDAR) and the use of Citizen Science, Deep Learning, and GIS for the automated detection of archaeological objects in remotely sensed data.
Teaching activities
Wouter gives regular guest lectures on the use of GIS, LiDAR, AI, and Citizen Science in Archaeology.
Curriculum vitae
Wouter B. Verschoof-van der Vaart graduated in Archaeology (BA, Leiden, 2008; MA, Leiden, 2011) with a speciality in Prehistory of North-Western Europe, Field Archaeology, and Material Culture and Artefact Studies. During and after his study, he developed a strong interest in geophysics and other (digital) prospection techniques. After having worked in Dutch commercial archaeology as a Geophysicist and Field Archaeologist for over 10 years, he returned to the Faculty of Archaeology in 2017 as a PhD candidate in Digital Archaeology. In 2022 he defended his PhD on the combination of CNN-based object detection and GIS for archaeological prospection in remotely-sensed data. Currently, he is a guest researcher at the Faculty of Archaeology.
Postdoc / guest
- Faculteit Archeologie
- Archaeological Sciences
- Digital Archaeology
- Karimi Moayed N., Vandenberghe D., Deforce K., Kaptijn E., Lambers K., Verschoof-van der Vaart W., De Clercq W. & De Grave J. (2024), Optical dating of charcoal kiln remains from WWII: a test of accuracy, Quaternary Geochronology 83: 101582.
- Kaptijn E., Bourgeois Q., Verschoof-van der Vaart W. & Lambers K. (2024), Erfgoed gezocht. Grafheuvels, zichtbare restanten van een prehistorisch landschap. In: Amkreutz L. & Vaart-Verschoof S. van der (Eds.), Bronstijd. Vuur van verandering. Leiden: Sidestone Press. 109-110.
- Bourgeois Q., Kaptijn E., Verschoof-van der Vaart W. & Lambers K. (2024), Assessing the quality of citizen science in archaeological remote sensing: results from the Heritage Quest project in the Netherlands, Antiquity 98(402): 1662-1678.
- Kaptijn E., Verschoof-van der Vaart W., Lambers K., Bourgeois Q. & Kramer R. (2023), Burgerwetenschap in de Gelderse archeologie. In: Verhoeven D., Gubbels M., Bierens de Haan J.C., Brusse P., Cruyningen P. van, Egeraat M. van, Kastelein D., Noordzij A. & Verstegen W. (Eds.). Bijdragen en Mededelingen Gelre no. 114. Arnhem: Vereniging Gelre. 55-74.
- Verschoof-van der Vaart W.B. (2 February 2022), Learning to look at LiDAR: combining CNN-based object detection and GIS for archaeological prospection in remotely-sensed data (Dissertatie, Faculty of Archaeology, Leiden University). Supervisor(s) and Co-supervisor(s): Lambers K. & Kolen J.C.A., Kowalczyk W.J.
- H. Fokkens (2021), Archeologisch onderzoek langs de Rikkert in Enkhuizen. Campagne 2013-2015 [Farmers of the coast] (translation: Roessingh W., Valentijn P.C.J., Fokkens H., Bakels C.C., Verschoof W. & Zijverden W.K. van). Leiden: Faculteit der Archeologie.
- Verschoof-van der Vaart W.B. & Lambers K. (2021), Applying automated object detection in archaeological practice: A case study from the southern Netherlands, Archaeological Prospection 29(1): 15-31.
- Olivier M. & Verschoof W.B. (2021), 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 4(1): 274-289.
- Verschoof W.B., Lambers K., Kowalczyk W.J. & Bourgeois Q.P.J. (2020), Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands, ISPRS International Journal of Geo-Information 9(5): 293.
- Verschoof-van der Vaart W.B. & Landauer J. (2020), Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands, Journal of Cultural Heritage 47: 143-154.
- Verschoof-Van der Vaart W.B. & Lambers K. (2019), Learning to Look at LiDAR: The Use of R-CNN in the Automated Detection of Archaeological Objects in LiDAR Data from the Netherlands, Journal of Computer Applications in Archaeology 2(1): 31-40.
- Lambers K., Verschoof-Van der Vaart W.B. & Bourgeois Q.P.J. (2019), Integrating Remote Sensing, Machine Learning, and Citizen Science in Dutch Archaeological Prospection, Remote Sensing 11(7): 794.
- Hesse R. & Verschoof-van der Vaart W.B. (2019), Erfassung von Meilerpodien in Lidar-Daten: von der manuellen Kartierung über Crowdsourcing zum maschinellen Lernen. [conference poster].
- Verschoof W.B., Lambers K. & Lew M. (2018), The use of R-CNNs in the automated detection of archaeological objects in remotely sensed data. LCDS meeting, Leiden. 19 October 2018 - 19 October 2018. [conference poster].
- Verschoof-van der Vaart W.B. (2018), Geofysisch onderzoek: Elektrisch Weerstandsonderzoek (ER). In: Heiden M. van der & Feiken H. (Eds.), Een grafheuvellandschap nader bekeken. Rapportage Archeologische Monumentenzorg no. 252. Amersfoort: Rijksdienst voor het Cultureel Erfgoed. 65-82.
- Verschoof-Van der Vaart W.B. & Heiden M. van der (2018), Methode en technieken: Geofysisch onderzoek – Elektrisch Weerstandsonderzoek (ER). In: Heiden M. van der & Feiken H. (Eds.), Een grafheuvellandschap nader bekeken. Rapportage Archeologische Monumentenzorg no. 252. Amersfoort: Rijksdienst voor het Cultureel Erfgoed. 45-47.
- De Smedt P., Verschoof-Van der Vaart W.B. & Heiden M. van der (2018), Synthese en discussie: Discussie geofysisch onderzoek. In: Heiden M. van der & Feiken H. (Eds.), Een grafheuvellandschap nader bekeken. Rapportage Archeologische Monumentenzorg no. 252. Amersfoort: Rijksdienst voor Cultureel Erfgoed.
- Amkreutz L., Bourgeois Q.P.J., Feiken R., Heiden M. van der, Hemelaar R., Orbons J., Rensink E., Theunissen L., Verbeek B. & Verschoof-Van der Vaart W.B. (2018), Geofysische technieken op prehistorische grafheuvels. Wat levert het op?, Archeologie in Nederland (2): .
- Verschoof W.B. (2017), Goeree-Overflakkee - Ouddorp, Kasteelberg Spreeuwenstein, Archeologische Kroniek Zuid-Holland 48: 15-18.
- Verschoof W.B. (2017), Leiden - Matilo, Archeologische Kroniek Zuid-Holland 48: 26-27.
- Verschoof W.B. (2017), Kasteelberg Spreeuwenstein. Archeologisch onderzoek naar de motte van Ouddorp, De Ouwe Waerelt 51: 2-6.