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...

Full description

Bibliographic Details
Main Authors: Haïfa Ben-Romdhane, Diana Francis, Charfeddine Cherif, Kosmas Pavlopoulos, Hosni Ghedira, Steven Griffiths
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Geosciences
Subjects:
archaeology
remote sensing
geospatial analysis
machine learning
artificial intelligence
SAR
Online Access:https://www.mdpi.com/2076-3263/13/6/179

Internet

https://www.mdpi.com/2076-3263/13/6/179

Similar Items