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Engaging with the canopyMulti-dimensional vegetation mark visualisation using archived aerial images

Geert Verhoeven (UGent) and Frank Vermeulen (UGent)
(2016) Remote sensing. 8(9).
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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.
Keywords
AIRBORNE LIDAR, ARCHAEOLOGICAL PROSPECTION, RELIEF MODELS, RECONSTRUCTION, CHLOROPHYLL, FEATURES, SPECTRA, BIOMASS, VISION, LEAVES, aerial photography, archaeological prospection, canopy height model, local relief model, Montarice, protohistoric settlement, vegetation, marks

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Chicago
Verhoeven, Geert, and Frank Vermeulen. 2016. “Engaging with the canopyMulti-dimensional Vegetation Mark Visualisation Using Archived Aerial Images.” Remote Sensing 8 (9).
APA
Verhoeven, Geert, & Vermeulen, F. (2016). Engaging with the canopyMulti-dimensional vegetation mark visualisation using archived aerial images. Remote sensing, 8(9).
Vancouver
1.
Verhoeven G, Vermeulen F. Engaging with the canopyMulti-dimensional vegetation mark visualisation using archived aerial images. Remote sensing. Basel: Mdpi Ag; 2016;8(9).
MLA
Verhoeven, Geert, and Frank Vermeulen. “Engaging with the canopyMulti-dimensional Vegetation Mark Visualisation Using Archived Aerial Images.” Remote sensing 8.9 (2016): n. pag. Print.
@article{8508573,
  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.},
  articleno    = {752},
  author       = {Verhoeven, Geert and Vermeulen, Frank},
  issn         = {2072-4292},
  journal      = {Remote sensing},
  keyword      = {AIRBORNE LIDAR,ARCHAEOLOGICAL PROSPECTION,RELIEF MODELS,RECONSTRUCTION,CHLOROPHYLL,FEATURES,SPECTRA,BIOMASS,VISION,LEAVES,aerial photography,archaeological prospection,canopy height model,local relief model,Montarice,protohistoric settlement,vegetation,marks},
  language     = {eng},
  number       = {9},
  pages        = {16},
  publisher    = {Mdpi Ag},
  title        = {Engaging with the canopyMulti-dimensional vegetation mark visualisation using archived aerial images},
  url          = {http://dx.doi.org/10.3390/rs8090752},
  volume       = {8},
  year         = {2016},
}

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