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Trying to break new ground in aerial archaeology

Geert Verhoeven UGent and Christopher Sevara (2016) REMOTE SENSING. 8(11).
abstract
Aerial reconnaissance continues to be a vital tool for landscape-oriented archaeological research. Although a variety of remote sensing platforms operate within the earth’s atmosphere, the majority of aerial archaeological information is still derived from oblique photographs collected during observer-directed reconnaissance flights, a prospection approach which has dominated archaeological aerial survey for the past century. The resulting highly biased imagery is generally catalogued in sub-optimal (spatial) databases, if at all, after which a small selection of images is orthorectified and interpreted. For decades, this has been the standard approach. Although many innovations, including digital cameras, inertial units, photogrammetry and computer vision algorithms, geographic(al) information systems and computing power have emerged, their potential has not yet been fully exploited in order to re-invent and highly optimise this crucial branch of landscape archaeology. The authors argue that a fundamental change is needed to transform the way aerial archaeologists approach data acquisition and image processing. By addressing the very core concepts of geographically biased aerial archaeological photographs and proposing new imaging technologies, data handling methods and processing procedures, this paper gives a personal opinion on how the methodological components of aerial archaeology, and specifically aerial archaeological photography, should evolve during the next decade if developing a more reliable record of our past is to be our central aim. In this paper, a possible practical solution is illustrated by outlining a turnkey aerial prospection system for total coverage survey together with a semi-automated back-end pipeline that takes care of photograph correction and image enhancement as well as the management and interpretative mapping of the resulting data products. In this way, the proposed system addresses one of many bias issues in archaeological research: the bias we impart to the visual record as a result of selective coverage. While the total coverage approach outlined here may not altogether eliminate survey bias, it can vastly increase the amount of useful information captured during a single reconnaissance flight while mitigating the discriminating effects of observer-based, on-the-fly target selection. Furthermore, the information contained in this paper should make it clear that with current technology it is feasible to do so. This can radically alter the basis for aerial prospection and move landscape archaeology forward, beyond the inherently biased patterns that are currently created by airborne archaeological prospection.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Aerial archaeology, OBIA (Object-Based Image Analysis), Aerial photography, Airborne remote sensing, GEOBIA (GEographic Object-Based Image Analysis), Multispectral, Landscape, Landscape archaeology, Remote sensing
journal title
REMOTE SENSING
Remote Sens.
editor
Kenneth Kv and Prasad Thenkabail
volume
8
issue
11
article number
918
publisher
MDPI
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/rs8110918
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
8133086
handle
http://hdl.handle.net/1854/LU-8133086
alternative location
http://www.mdpi.com/2072-4292/8/11/918/html
date created
2016-11-04 14:08:22
date last changed
2016-12-21 15:41:25
@article{8133086,
  abstract     = {Aerial reconnaissance continues to be a vital tool for landscape-oriented archaeological research. Although a variety of remote sensing platforms operate within the earth{\textquoteright}s atmosphere, the majority of aerial archaeological information is still derived from oblique photographs collected during observer-directed reconnaissance flights, a prospection approach which has dominated archaeological aerial survey for the past century. The resulting highly biased imagery is generally catalogued in sub-optimal (spatial) databases, if at all, after which a small selection of images is orthorectified and interpreted. For decades, this has been the standard approach. Although many innovations, including digital cameras, inertial units, photogrammetry and computer vision algorithms, geographic(al) information systems and computing power have emerged, their potential has not yet been fully exploited in order to re-invent and highly optimise this crucial branch of landscape archaeology. The authors argue that a fundamental change is needed to transform the way aerial archaeologists approach data acquisition and image processing. By addressing the very core concepts of geographically biased aerial archaeological photographs and proposing new imaging technologies, data handling methods and processing procedures, this paper gives a personal opinion on how the methodological components of aerial archaeology, and specifically aerial archaeological photography, should evolve during the next decade if developing a more reliable record of our past is to be our central aim. In this paper, a possible practical solution is illustrated by outlining a turnkey aerial prospection system for total coverage survey together with a semi-automated back-end pipeline that takes care of photograph correction and image enhancement as well as the management and interpretative mapping of the resulting data products. In this way, the proposed system addresses one of many bias issues in archaeological research: the bias we impart to the visual record as a result of selective coverage. While the total coverage approach outlined here may not altogether eliminate survey bias, it can vastly increase the amount of useful information captured during a single reconnaissance flight while mitigating the discriminating effects of observer-based, on-the-fly target selection. Furthermore, the information contained in this paper should make it clear that with current technology it is feasible to do so. This can radically alter the basis for aerial prospection and move landscape archaeology forward, beyond the inherently biased patterns that are currently created by airborne archaeological prospection.},
  articleno    = {918},
  author       = {Verhoeven, Geert and Sevara, Christopher},
  editor       = {Kv, Kenneth and Thenkabail, Prasad},
  issn         = {2072-4292},
  journal      = {REMOTE SENSING},
  keyword      = {Aerial archaeology,OBIA (Object-Based Image Analysis),Aerial photography,Airborne remote sensing,GEOBIA (GEographic Object-Based Image Analysis),Multispectral,Landscape,Landscape archaeology,Remote sensing},
  language     = {eng},
  number       = {11},
  publisher    = {MDPI},
  title        = {Trying to break new ground in aerial archaeology},
  url          = {http://dx.doi.org/10.3390/rs8110918},
  volume       = {8},
  year         = {2016},
}

Chicago
Verhoeven, Geert, and Christopher Sevara. 2016. “Trying to Break New Ground in Aerial Archaeology.” Ed. Kenneth Kv and Prasad Thenkabail. Remote Sensing 8 (11).
APA
Verhoeven, G., & Sevara, C. (2016). Trying to break new ground in aerial archaeology. (K. Kv & P. Thenkabail, Eds.)REMOTE SENSING, 8(11).
Vancouver
1.
Verhoeven G, Sevara C. Trying to break new ground in aerial archaeology. Kv K, Thenkabail P, editors. REMOTE SENSING. MDPI; 2016;8(11).
MLA
Verhoeven, Geert, and Christopher Sevara. “Trying to Break New Ground in Aerial Archaeology.” Ed. Kenneth Kv & Prasad Thenkabail. REMOTE SENSING 8.11 (2016): n. pag. Print.