Next Article in Journal
Biophysical Characterization of Protected Areas Globally through Optimized Image Segmentation and Classification
Next Article in Special Issue
Feature Extraction in the North Sinai Desert Using Spaceborne Synthetic Aperture Radar: Potential Archaeological Applications
Previous Article in Journal
Sediment-Mass Accumulation Rate and Variability in the East China Sea Detected by GRACE
Previous Article in Special Issue
Detecting Slope and Urban Potential Unstable Areas by Means of Multi-Platform Remote Sensing Techniques: The Volterra (Italy) Case Study
Open AccessArticle

Cultural Heritage Sites in Danger—Towards Automatic Damage Detection from Space

Earth Observation Center (EOC), German Aerospace Center (DLR), 82234 Wessling, Germany
Department of Civil Engineering and Geomatics, Archaeology and Cultural Heritage Section, Cyprus University of Technology, 3036 Limassol, Cyprus
Author to whom correspondence should be addressed.
Academic Editors: Zhong Lu, Henrique Lorenzo and Prasad S. Thenkabail
Remote Sens. 2016, 8(9), 781;
Received: 1 July 2016 / Revised: 10 August 2016 / Accepted: 18 September 2016 / Published: 21 September 2016
(This article belongs to the Special Issue Remote Sensing for Cultural Heritage)
The intentional damage to local Cultural Heritage sites carried out in recent months by the Islamic State have received wide coverage from the media worldwide. Earth Observation data provide important information to assess this damage in such non-accessible areas, and automated image processing techniques will be needed to speed up the analysis if a fast response is desired. This paper shows the first results of applying fast and robust change detection techniques to sensitive areas, based on the extraction of textural information and robust differences of brightness values related to pre- and post-disaster satellite images. A map highlighting potentially damaged buildings is derived, which could help experts at timely assessing the damages to the Cultural Heritage sites of interest. Encouraging results are obtained for two archaeological sites in Syria and Iraq. View Full-Text
Keywords: change detection; cultural heritage; texture analysis change detection; cultural heritage; texture analysis
Show Figures

Graphical abstract

MDPI and ACS Style

Cerra, D.; Plank, S.; Lysandrou, V.; Tian, J. Cultural Heritage Sites in Danger—Towards Automatic Damage Detection from Space. Remote Sens. 2016, 8, 781.

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.

Article Access Map by Country/Region

Back to TopTop