Detection of Oil Pollution Using SAR and Optical Remote Sensing Imagery: A Case Study of the Persian Gulf

Mohammadi, M.; Sharifi, Alireza; Hosseingholizadeh, Mohammad; Tariq, Aqil

doi:10.1007/s12524-021-01399-2

Cited by 35 publications

(15 citation statements)

References 43 publications

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“…The SAR data acquisition involves Electromagnetic Microwaves pulses (1 mm–1 m in wavelength, with 0.3 to 300-GHz frequency) transmitted from a space-borne SAR instrument, offering a high density of measuring points over the remote, unapproachable, and risky areas [ [48] , [49] , [50] , [51] , [52] , [53] ]. InSAR technology has been the most integrated and functional tool in measuring the displacement of the earth’s surface on a millimeter scale.…”

Section: Methodsmentioning

confidence: 99%

Land subsidence analysis using synthetic aperture radar data

Bokhari

Hong

Tariq

et al. 2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

Land subsidence analysis using synthetic aperture radar data

Bokhari

Hong

Tariq

et al. 2023

Heliyon

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“…Assessment and confirmation of accuracy are key procedures in flood risk management and vulnerability studies (Mohammadi et al, 2021;Mumtaz et al, 2021;Rahman et al, 2021;Shah et al, 2021). In order to verify the validity of the performed analysis and model, an accuracy evaluation is conducted.…”

Section: Validationmentioning

confidence: 99%

Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

Majeed

Anwar

et al. 2023

Front. Environ. Sci.

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The landscape of Pakistan is vulnerable to flood and periodically affected by floods of different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility of district Jhelum, Punjab, Pakistan using geospatial model and Frequency Ratio and Analytical Hierarchy Process. Also, the study considered eight most influential flood-causing parameters are Digital Elevation Model, slop, distance from the river, drainage density, Land use/Land cover, geology, soil resistivity (soil consisting of different rocks and soil formation) and rainfall deviation. The rainfall data was collected from weather stations in the vicinity of the study area. Estimated weight was allotted to each flood-inducing factors with the help of AHP and FR. Through the use of the overlay analysis, each of the factors were brought together, and the value of drainage density was awarded the maximum possible score. According to the study several areas of the region based on the parameters have been classified in flood zones viz, very high risk, high risk, moderate risk, low risk, and very low risk. In the light of the results obtained, 4% of the study area that accounts for 86.25 km2 is at high risk of flood. The areas like Bagham, Sohawa, Domeli, Turkai, Jogi Tillas, Chang Wala, Dandot Khewra were located at the very high elevation. Whereas Potha, Samothi, Chaklana, Bagrian, Tilla Jogian, Nandna, Rawal high-risk zones and have been damaged badly in the flood history of the area. This study is the first of its kind conducted on the Jhelum District and provides guidelines for disaster management authorities and response agencies, infrastructure planners, watershed management, and climatologists.

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“…Remote sensing is the best tool for continuous monitoring of earth features, hazard management, and change detection, which is indicated by many studies 1 – 3 Synthetic aperture radar (SAR) is an active remote sensing system typically mounted on a moving platform, such as an aircraft or spacecraft, which is suitable for flood monitoring, crop monitoring, and detecting ships and oil spills 4 – 9 Constant false alarm rate (CFAR) is widely used in SAR automatic target detection.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3] Synthetic aperture radar (SAR) is an active remote sensing system typically mounted on a moving platform, such as an aircraft or spacecraft, which is suitable for flood monitoring, crop monitoring, and detecting ships and oil spills. [4][5][6][7][8][9] Constant false alarm rate (CFAR) is widely used in SAR automatic target detection. CFAR estimates the threshold based on the statistic of cells around a cell under test (CUT), called the reference window.…”

Section: Introductionmentioning

confidence: 99%

Partial mean and multi-section rank order filtering for order statistic-constant false alarm rate detection in synthetic aperture radar imagery

Hosseini Miangafsheh,

Kazerooni,

Abolghasemi

2023

J. Appl. Rem. Sens.

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.OS-CFAR is widely used in synthetic aperture radar automatic target detection. It rank orders the data to obtain the k’th order statistic (OS). But it suffers from high computational cost because of its sorting process. We introduce a partial mean and multi-section (PMMS) rank order filtering method, which can effectively reduce the computational cost. The PMMS finds the k’th OS by dividing the data into several sections and only using a subset of the data to calculate the mean. A theoretical analysis of computational complexity is given. Simulation results show that, on average, the proposed method reduces execution time by 29.6% for uniformly distributed data and 34.4% for exponentially distributed data. Also, the best time reduction methods for uniformly and exponentially distributed data are presented.

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Detection of Oil Pollution Using SAR and Optical Remote Sensing Imagery: A Case Study of the Persian Gulf

Cited by 35 publications

References 43 publications

Land subsidence analysis using synthetic aperture radar data

Land subsidence analysis using synthetic aperture radar data

Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

Partial mean and multi-section rank order filtering for order statistic-constant false alarm rate detection in synthetic aperture radar imagery

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