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Article

Engaging with the Canopy—Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images

1
LBI for Archaeological Prospection & Virtual Archaeology (LBI ArchPro), Franz-Klein-Gasse 1, A-1190 Wien, Austria
2
Department of Archaeology, Faculty of Arts and Philosophy, Ghent University (UGent), Sint-Pietersnieuwstraat 35, B-9000 Gent, Belgium
*
Author to whom correspondence should be addressed.
Academic Editors: Kenneth L. Kvamme, Richard Gloaguen and Prasad S. Thenkabail
Remote Sens. 2016, 8(9), 752; https://doi.org/10.3390/rs8090752
Received: 18 July 2016 / Revised: 24 August 2016 / Accepted: 5 September 2016 / Published: 12 September 2016
(This article belongs to the Special Issue Archaeological Prospecting and Remote Sensing)
Using Montarice in central Adriatic Italy as a case study, this paper focuses on the extraction of the spectral (i.e., plant colour) and geometrical (i.e., plant height) components of a crop canopy from archived aerial photographs, treating both parameters as proxies for archaeological prospection. After the creation of orthophotographs and a canopy height model using image-based modelling, new archaeological information is extracted from this vegetation model by applying relief-enhancing visualisation techniques. Through interpretation of the resulting data, a combination of the co-registered spectral and geometrical vegetation dimensions clearly add new depth to interpretative mapping, which is typically based solely on colour differences in orthophotographs. View Full-Text
Keywords: aerial photography; archaeological prospection; canopy height model; local relief model; Montarice; protohistoric settlement; vegetation marks aerial photography; archaeological prospection; canopy height model; local relief model; Montarice; protohistoric settlement; vegetation marks
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MDPI and ACS Style

Verhoeven, G.; Vermeulen, F. Engaging with the Canopy—Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images. Remote Sens. 2016, 8, 752. https://doi.org/10.3390/rs8090752

AMA Style

Verhoeven G, Vermeulen F. Engaging with the Canopy—Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images. Remote Sensing. 2016; 8(9):752. https://doi.org/10.3390/rs8090752

Chicago/Turabian Style

Verhoeven, Geert, and Frank Vermeulen. 2016. "Engaging with the Canopy—Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images" Remote Sensing 8, no. 9: 752. https://doi.org/10.3390/rs8090752

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