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Marine Geodesy Volume 35, 2012 - Issue 1
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Original Articles

Oil-Spill Monitoring in the Coastal Waters of Hong Kong and Vicinity

Yuanzhi Zhang Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong; Laboratory of Coastal Zone Studies, CUHK Shenzhen Research Institute, Shenzhen, China
,
Hui Lin Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong
,
Qiang Liu Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong
,
Jinrong Hu Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong; Laboratory of Coastal Zone Studies, CUHK Shenzhen Research Institute, Shenzhen, China
,
Xiaofeng Li Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong
&
Kin Yeung Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong
Pages 93-106 | Received 10 Nov 2010, Accepted 28 Aug 2011, Published online: 09 Mar 2012

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Rongxing (Ron) Li. (2020) Strengthening Marine Geodesy’s Support for the Sustainability Development Goals. Marine Geodesy 43:4, pages 325-326.
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Yansha Wen, Mengqiu Wang, Yingcheng Lu, Shaojie Sun, Minwei Zhang, Zhihua Mao, Jing Shi & Yongxue Liu. (2018) An alternative approach to determine critical angle of contrast reversal and surface roughness of oil slicks under sunglint. International Journal of Digital Earth 11:9, pages 972-979.
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Anh Tuan Hoang, Xuan Lam Bui & Xuan Duong Pham. (2018) A novel investigation of oil and heavy metal adsorption capacity from as-fabricated adsorbent based on agricultural by-product and porous polymer. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:8, pages 929-939.
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Yu Li & Yuanzhi Zhang. (2014) Synthetic aperture radar oil spills detection based on morphological characteristics. Geo-spatial Information Science 17:1, pages 8-16.
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Articles from other publishers (20)

Hongyu Sun, Lianji Ma, Qiang Fu, Yingchao Li, Haodong Shi, Zhuang Liu, Jianan Liu, Jiayu Wang & Huilin Jiang. (2023) Long-Wave Infrared Polarization-Based Airborne Marine Oil Spill Detection and Identification Technology. Photonics 10:5, pages 588.
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William Frodella, Guglielmo Rossi, Luca Tanteri, Ascanio Rosi, Luca Lombardi, Francesco Mugnai, Riccardo Fanti & Nicola Casagli. (2023) A Decade from the Costa Concordia Shipwreck: Lesson Learned on the Contribution of Infrared Thermography during the Maritime Salvage Operations. Remote Sensing 15:5, pages 1347.
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Aleksey Vytovtov, Denis Korolev, Andrey Odnolko, Dmitry Kargashilov & Irina Ivanova. (2023) Scientific Bases Development for Oil Spill Accidents Automated Detection Using Drones. Transportation Research Procedia 68, pages 585-590.
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Jatisankar Bandyopadhyay, Anurupa Paul, Avik Saha & Joydeb Sardar. (2022) The nearshore water quality assessment of Oil Spill and CDOM using Landsat 8 and Sentinel 1 A SAR data: A case study in Jaki Mirya, Konkan Coast of Maharashtra, India. Safety in Extreme Environments.
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Yunkun Bai, Guangmin Sun, Yu Li, Peifeng Ma, Gang Li & Yuanzhi Zhang. (2021) Comprehensively analyzing optical and polarimetric SAR features for land-use/land-cover classification and urban vegetation extraction in highly-dense urban area. International Journal of Applied Earth Observation and Geoinformation 103, pages 102496.
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Rami Al-Ruzouq, Mohamed Barakat A. Gibril, Abdallah Shanableh, Abubakir Kais, Osman Hamed, Saeed Al-Mansoori & Mohamad Ali Khalil. (2020) Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review. Remote Sensing 12:20, pages 3338.
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Jin Xu, Peng Liu, Haixia Wang, Jingjing Lian & Bo Li. (2018) Marine Radar Oil Spill Monitoring Technology Based on Dual-Threshold and C–V Level Set Methods. Journal of the Indian Society of Remote Sensing 46:12, pages 1949-1961.
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Yu Li, Yuanzhi Zhang, Zifeng Yuan, Huaqiu Guo, Hongyuan Pan & Jingjing Guo. (2018) Marine Oil Spill Detection Based on the Comprehensive Use of Polarimetric SAR Data. Sustainability 10:12, pages 4408.
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Lizwe Wandile Mdakane & Waldo Kleynhans. (2017) An Image-Segmentation-Based Framework to Detect Oil Slicks From Moving Vessels in the Southern African Oceans Using SAR Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:6, pages 2810-2818.
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Maged Marghany. (2016) Automatic Detection of Oil Spill Disasters Along Gulf of Mexico Using RADARSAT-2 SAR Data. Journal of the Indian Society of Remote Sensing 45:3, pages 503-511.
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Yuanzhi Zhang, Yu Li, X. Liang & Jinyeu Tsou. (2017) Comparison of Oil Spill Classifications Using Fully and Compact Polarimetric SAR Images. Applied Sciences 7:2, pages 193.
Crossref
M. Fingas & C.E. Brown. 2017. Oil Spill Science and Technology. Oil Spill Science and Technology 305 385 .
Maged Marghany. (2016) Automatic Mexico Gulf Oil Spill Detection from Radarsat-2 SAR Satellite Data Using Genetic Algorithm. Acta Geophysica 64:5, pages 1916-1941.
Crossref
L.W. Mdakane, W. Kleynhans & C.P. Schwegmann. (2016) Using an active contour method to detect bilge dumps from SAR imagery. Using an active contour method to detect bilge dumps from SAR imagery.
Yuanzhi Zhang, Yu Li, Yijun He & Tingchen Jiang. (2016) Supervised oil spill classification based on fully polarimetric SAR features. Supervised oil spill classification based on fully polarimetric SAR features.
Maged Marghany. (2015) Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data. Environmental Earth Sciences 74:7, pages 5935-5947.
Crossref
W. Tian, X. Bian, Y. Shao & Z. Zhang. (2015) On the Detection of Oil Spill with China's HJ-1C SAR Image. Aquatic Procedia 3, pages 144-150.
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Maged Marghany. (2014) Utilization of a genetic algorithm for the automatic detection of oil spill from RADARSAT-2 SAR satellite data. Marine Pollution Bulletin 89:1-2, pages 20-29.
Crossref
Merv Fingas & Carl Brown. (2014) Review of oil spill remote sensing. Marine Pollution Bulletin 83:1, pages 9-23.
Crossref
Maged Marghany. 2014. Computational Science and Its Applications – ICCSA 2014. Computational Science and Its Applications – ICCSA 2014 355 371 .

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