Image processing of alos palsar satellite data, small unmanned aerial vehicle (UAV), and field measurement of land deformation

(1) * Husnul kausarian Mail (Universitas Islam Riau, Indonesia)
(2) Josaphat Tetuko Sri Sumantyo Mail (Chiba University, Japan)
(3) Dewandra bagus eka putra Mail (Universitas Islam Riau, Indonesia)
(4) Adi Suryadi Mail (Universitas Islam Riau, Indonesia)
(5) Gevisioner Gevisioner Mail (Research and Development Board, Government of Riau Province, Indonesia)
*corresponding author


Pekanbaru is the capital city of Riau province, located in the center of the island of Sumatra as the rapid growth city in Indonesia. The city is split by the Siak River which is the deepest river in Indonesia. Four big bridges connect this city. They are named Siak Bridge; I, II, III and IV. The quality of the Siak bridges deteriorated seriously at this time, especially the deflection of Siak III Bridge, despite its being completely rebuilt in recent times. Geological mapping for the land subsidence potency was conducted using small Unmanned Aerial Vehicle (UAV) in the Siak Bridge areas. The study of the Siak bridges are also supported by the Differential Interferometric Synthetic Aperture Radar (DInSAR) analysis using ALOS PALSAR satellite data, and the deflection observation that occurs in Siak III Bridge was observed by field measurement. The results of small Unmanned Aerial Vehicle (UAV) 3D model analysis show no negative land deformation. Differential Interferometric Synthetic Aperture Radar (DInSAR) analysis shows the amount of positive deformation of Siak I Bridge is 81 cm, Siak II Bridge is 48 cm, Siak III Bridge is 89 cm, and Siak IV Bridge is 92. Deflection on Siak III Bridge was detected at around 25-26 cm. These models and findings will be helpful in a new way of measuring the bridge deformation on a big scale.


Pekanbaru City, Siak bridges, Small Unmanned Aerial Vehicle (UAV), Differential Interferometric Synthetic Aperture Radar (DInSAR), Deflection



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International Journal of Advances in Intelligent Informatics
ISSN 2442-6571  (print) | 2548-3161 (online)
Organized by Informatics Department - Universitas Ahmad Dahlan , and UTM Big Data Centre - Universiti Teknologi Malaysia
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