Journal article
Geert J. Verhoeven, Frank Vermeulen
Remote Sensing, vol. 8(9), 2016, p. 752
Remote Sensing, vol. 8(9), 2016, p. 752
DOI:
10.3390/rs8090752
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APA
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Verhoeven, G. J., & Vermeulen, F. (2016). Engaging with the Canopy: Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images. Remote Sensing, 8(9), 752. https://doi.org/10.3390/rs8090752
Chicago/Turabian
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Verhoeven, Geert J., and Frank Vermeulen. “Engaging with the Canopy: Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images.” Remote Sensing 8, no. 9 (2016): 752.
MLA
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Verhoeven, Geert J., and Frank Vermeulen. “Engaging with the Canopy: Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images.” Remote Sensing, vol. 8, no. 9, 2016, p. 752, doi:10.3390/rs8090752.
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@article{verhoeven2016a,
title = {Engaging with the Canopy: Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images},
year = {2016},
issue = {9},
journal = {Remote Sensing},
pages = {752},
volume = {8},
doi = {10.3390/rs8090752},
author = {Verhoeven, Geert J. and Vermeulen, Frank}
}
Abstract
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.
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.