Analysis of Polarimetric Decomposition, Backscattering Coefficient, and Sample Properties for Identification and Layer Thickness Estimation of Silica Sand Distribution Using L-Band Synthetic Aperture Radar

Kausarian, Husnul; Sumantyo, Josaphat Tetuko Sri; Kuze, Hiroaki; Aminuddin, Jamrud; Waqar, Mirza Muhammad

doi:10.1080/07038992.2017.1286935

Cited by 13 publications

(5 citation statements)

References 30 publications

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“…Land-site deformation measurement [15] - [17] of the bridge stand was measured using differential interferometry [18] - [21] measurement with ALOS PALSAR level 1.1 data [22], [23]. The date of ALOS PALSAR data taken for these areas are from 25 May 2007 to 20 April 2011, which matches with the span of time during which Siak III Bridge was built for the first time.…”

Section: Methodsmentioning

confidence: 98%

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

Kausarian

Sumantyo

Putra

et al. 2018

Int. J. Adv. Intell. Informatics

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Pekanbaru, Indonesia is connected by four big bridges, Siak Bridge; I, II, III and IV. The quality of the Siak bridges deteriorated seriously at this time. 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 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 3D model analysis showed that there is no negative land deformation. DInSAR analysis shows the amount of positive deformation of Siak I is 81 cm, Siak II is 48 cm, Siak III is 89 cm, and Siak IV is 92. Deflection on Siak III Bridge was detected at around 25-26 cm. These models could be used as a new way of measuring the bridge deformation on a big scale.

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Section: Methodsmentioning

confidence: 98%

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

Kausarian

Sumantyo

Putra

et al. 2018

Int. J. Adv. Intell. Informatics

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“…The equipment used is GPS, topographic maps, compass, camera, and drone or Unmanned Aerial Vehicle (UAV) [19], [20], [21], [22], [23]. While secondary data used are geological map data containing lithological and structural information [24], [25], land use data, rainfall data [9], and information about flood events from affected residents.…”

Section: Methodsmentioning

confidence: 99%

GIS Analysis for Flood Problem in the Big City: A Case Study in Pekanbaru City, Riau Province, Indonesia

Kausarian¹,

Suryadi²,

Susilo³

et al. 2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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Pekanbaru City, Riau Province, Indonesia located at 0°25'29.20"-0°39'15.22" N and 101°20'43.39"-101°34'25.60" E. This research aims to study the common causes of flooding in Pekanbaru city with a good geological condition. Research in the flood area of the city of Pekanbaru using primary and secondary data; geological, geomorphological, rainfall, and land use data. Information about this earth system combined with geographic information system (GIS) analysis using a small unmanned aerial vehicle (UAV) / drones including Geographic Positioning Systems (GPS) combined with online coordinate systems that can help spatial analysis to determine the level of vulnerability of flood disasters by producing a visual mapping model. The study shows that 4 locations were found vulnerable to being affected by flooding when it rained. The flood impact in those areas happened because those locations are in a geomorphological system with a low topographic area, the natural river system that controls the water to the main river, and a poor water escape-system / drainage. The geomorphological analysis showed two geomorphological units, i.e., lowland denudational and lowland structural with river flow-pattern that is dendritic, sub-dendritic, and parallel. Rainfall is quite high in 2018 with 2621.5 mm and caused flood-prone areas, which are divided into three categories: Non-vulnerable area (64.575%), Medium Vulnerable area (23,386%), and Vulnerable area (12,039%) from the entire of the research area.

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“…A. Materials 1) Stratigraphy; members of Batusabak and shale tuhur formation (tits): Tuhur formation [8], [9] is the bedrock Based on its lithological. Tuhur formation's lithology are Batusabak, members of shale, Napalan shale, inserts shale, Radiolarite, a thin layer of metamorphosed greywacke, and a member of the Triassic Limestone.…”

Section: Methodsmentioning

confidence: 99%

Geochemical Analysis of Metal Minerals on Kuantan Singingi Regency, Riau Province as a Connection part of Bukit Barisan Mountain, West Sumatera, Indonesia

Kausarian¹,

Rahmanto²,

Suryadi³

et al. 2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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The research area is located in Muara Lembu Village, Singingi District, Kuantan Singingi Regency, Riau Province. Located at coordinates 0°25'40.85"S - 101°17'50.82"E and 0°26'45.50"S - 101°19'27.81"E. The research area's landform consists of slightly structural steep, structural sloping hills, and low denudational hills. The study area consists of a rock unit, which is claystone units indicated by a thin layer that formed metal minerals because of the erosional process in several places, which the erosion process transported to the research area. It is supported by thrust slip fault, resulting in gaps at the weak zone and eroded minerals filling and changing the claystone composition. At the same time, the oxidation process occurred in the research area. The geomorphology and stratigraphy analysis results show three types: Slightly Structural Steep, Structural Slooping Hills, and Low Denudational Hills. The results of Genesis and Potential Minerals in the study area consist of carrier rocks from the Claystone Unit. The deposition process can be called Sediment Genesis. The results of X-Ray Fluorescence (X-RF) and X-Ray Diffraction (X-RD) tests showed that the highest minerals are silica (SiO2) with metal mineral potentials such as pyrolusite (MnO2), Muscovite (H2KAL3Si3O12), Graphite (C), Hematite (Fe2O3), Aluminum Oxide / Corundum (Al2O3), Manganese (Mn), Silver (Ag), and Titanium (Ti). This research showed the economic value in the form of iron and steel.

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Analysis of Polarimetric Decomposition, Backscattering Coefficient, and Sample Properties for Identification and Layer Thickness Estimation of Silica Sand Distribution Using L-Band Synthetic Aperture Radar

Cited by 13 publications

References 30 publications

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

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

GIS Analysis for Flood Problem in the Big City: A Case Study in Pekanbaru City, Riau Province, Indonesia

Geochemical Analysis of Metal Minerals on Kuantan Singingi Regency, Riau Province as a Connection part of Bukit Barisan Mountain, West Sumatera, Indonesia

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