Next Article in Journal
Effects of Different Methods on the Comparison between Land Surface and Ground Phenology—A Methodological Case Study from South-Western Germany
Next Article in Special Issue
Mapping Indigenous Settlement Topography in the Caribbean Using Drones
Previous Article in Journal
Compact Polarimetric SAR Ship Detection with m-δ Decomposition Using Visual Attention Model
Previous Article in Special Issue
Ground-Penetrating Radar Mapping Using Multiple Processing and Interpretation Methods
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(9), 752; doi:10.3390/rs8090752

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
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)
View Full-Text   |   Download PDF [6240 KB, uploaded 12 September 2016]   |  

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. 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
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top