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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).
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
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
journal title
REMOTE SENSING
Remote Sens.
volume
8
issue
9
article number
752
pages
16 pages
publisher
Mdpi Ag
place of publication
Basel
Web of Science type
Article
Web of Science id
000385488000062
JCR category
REMOTE SENSING
JCR impact factor
3.244 (2016)
JCR rank
7/29 (2016)
JCR quartile
1 (2016)
ISSN
2072-4292
DOI
10.3390/rs8090752
language
English
UGent publication?
yes
classification
A1
copyright statement
I don't know the status of the copyright for this publication
id
8508573
handle
http://hdl.handle.net/1854/LU-8508573
date created
2017-02-09 13:02:14
date last changed
2017-02-23 09:37:13
@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},
}

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, G., & 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.