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The integration of aerial sensing and geophysical techniques to identify buried archaeological properties in Sungai Batu, Bujang Valley

Roslan, Shairatul Akma and Yakub, Fitri and Rambat, Shuib and Mohd. Noor, Norzailawati and Saidin, Mokhtar (2020) The integration of aerial sensing and geophysical techniques to identify buried archaeological properties in Sungai Batu, Bujang Valley. In: 10th IGRSM International Conference and Exhibition on Geospatial and Remote, IGRSM 2020, 20 October 2020 - 21 October 2020, Kuala Lumpur, Virtual, Malaysia.

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Official URL: http://dx.doi.org/10.1088/1755-1315/540/1/012013

Abstract

The paper investigates the different approaches in identifying the buried archaeological properties by using two different technology platforms which are aerial remote sensing and ground-based physical sensing; geophysical techniques. Aerial remote sensing has exhibited great potential for archaeological observation and detection, contrasting to geophysical measurement which it's synonymous with geological investigation in Malaysia. On the other hand, by integrating these two platforms, it shows a high potential response depending on the technique apply. Two different perspectives of technology are examined, namely SPOT multispectral remote sensing satellite imagery and geophysical prospection called electric resistivity. In order to determine co-relationships of two variables; several Vegetation Index (satellite datasets) has been correlated to the resistivity (ground-based values) through regression analysis to show the strong connection between variables. The overall outcomes demonstrated that the data fusion technique and regression analysis applied towards multiple sensing datasets is useful to improve the accuracy (estimation) and minimize the error probability in identifying the buried archaeological remains. This research then will be expanded further to explore the capabilities of geophysical technique with another potential platform in identifying the buried archaeological remain in the Malaysian context.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:remote sensing, satellite imagery, spectral correlation, vegetation index
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Malaysia-Japan International Institute of Technology
ID Code:89994
Deposited By: Yanti Mohd Shah
Deposited On:31 Mar 2021 06:32
Last Modified:31 Mar 2021 06:32

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