Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE

Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE

In this paper, the feasibility of satellite remote sensing in detecting and predicting locations of buried objects in the archaeological site of Saruq Al-Hadid, United Arab Emirates (UAE) was investigated. Satellite-borne synthetic aperture radar (SAR) is proposed as the main technology for this ini...

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Bibliographic Details
Main Author: Ben Romdhane, Haifa (author)
Other Authors: Francis, Diana (author), Cherif, Charfeddine (author), Pavlopoulos, Kosmas (author), Ghedira, Hosni (author), Griffiths, Steven (author)
Published: 2023
Subjects:
archeology
remote sensing
geospatial analysis
machine learning
artificial intelligence
SAR
PALSAR-2
Worldview-3
Saruq Al-Hadid
Dubai
United Arab Emirates
Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1415
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