Automatic Detection of Potential Buried Archaeological Sites in Saruq Al-Hadid, United Arab Emirates
- Paper number
IAC-21,B1,IP,9,x65288
- Author
Dr. Marwa Chendeb EL RAI, United Arab Emirates, University of Dubai
- Coauthor
Ms. Mina Al-saad, United Arab Emirates, University of Dubai
- Coauthor
Ms. Nour Aburaed, United Arab Emirates, University of Dubai
- Coauthor
Mr. Saeed Al Mansoori, United Arab Emirates, Mohammed Bin Rashid Space Centre (MBRSC)
- Coauthor
Prof. Hussain AL Ahmad, United Arab Emirates, University of Dubai
- Year
2021
- Abstract
The use of remote sensing in archaeological research allows the prospection of sub-surfaces in arid regions non-intrusively before the on-site investigation and excavation. While the actual detection method of expected buried archaeological structures is based on visual interpretation, this work provides a supporting archaeological guidance using remote sensing. The aim is to detect potential archaeological remains underneath the sand. This paper focuses on Saruq Al-Hadid surroundings, which is an archaeologist site discovered in 2002, located about 50 km south-east of Dubai, as archaeologists believe that other archaeological sites are potentially buried in the surroundings. The input data is derived from a combination of wavelength L-band Synthetic Aperture Radar (ALOS PALSAR), which is able to penetrate the sand, and multispectral optical images (Landsat 7). This paper develops a new strategy to help in the detection of suspected buried structures. The data fusion of surface roughness and spectral indices enables tackling the well-known limitation of SAR images and offers a set of pixels having an archaeological signature different from the manmade structures. The potential buried sites are then classified by performing a pixel-level unsupervised classification algorithm such as K-means cluster analysis. To test the performance of the proposed method, the results are compared with those obtained by visual interpretation.
- Abstract document
- Manuscript document
(absent)