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Lu, Yingcheng, Li, Xiang, Tian, Qingjiu, Zheng, Guang, Sun, Shaojie, Liu, Yongxue, Yang, Qiang (2013) Progress in Marine Oil Spill Optical Remote Sensing: Detected Targets, Spectral Response Characteristics, and Theories. Marine Geodesy, 36. 334-346 doi:10.1080/01490419.2013.793633

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Reference TypeJournal (article/letter/editorial)
TitleProgress in Marine Oil Spill Optical Remote Sensing: Detected Targets, Spectral Response Characteristics, and Theories
JournalMarine Geodesy
AuthorsLu, YingchengAuthor
Li, XiangAuthor
Tian, QingjiuAuthor
Zheng, GuangAuthor
Sun, ShaojieAuthor
Liu, YongxueAuthor
Yang, QiangAuthor
Year2013 (September)Volume36
PublisherInforma UK Limited
DOIdoi:10.1080/01490419.2013.793633Search in ResearchGate
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Mindat Ref. ID8405052Long-form Identifiermindat:1:5:8405052:2
GUID0
Full ReferenceLu, Yingcheng, Li, Xiang, Tian, Qingjiu, Zheng, Guang, Sun, Shaojie, Liu, Yongxue, Yang, Qiang (2013) Progress in Marine Oil Spill Optical Remote Sensing: Detected Targets, Spectral Response Characteristics, and Theories. Marine Geodesy, 36. 334-346 doi:10.1080/01490419.2013.793633
Plain TextLu, Yingcheng, Li, Xiang, Tian, Qingjiu, Zheng, Guang, Sun, Shaojie, Liu, Yongxue, Yang, Qiang (2013) Progress in Marine Oil Spill Optical Remote Sensing: Detected Targets, Spectral Response Characteristics, and Theories. Marine Geodesy, 36. 334-346 doi:10.1080/01490419.2013.793633
In(2013) Marine Geodesy Vol. 36. Informa UK Limited

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Lu, Yingcheng, Tian, Qingjiu, Wang, Xinyuan, Zheng, Guang, Li, Xiang (2013) Determining oil slick thickness using hyperspectral remote sensing in the Bohai Sea of China. International Journal of Digital Earth, 6 (1). 76-93 doi:10.1080/17538947.2012.695404
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Lu, Yingcheng, Zheng, Guang, Tian, Qingjiu, Lyu, Chunguang, Sun, Shaojie (2013) Analyzing the effects of particle size on remotely sensed spectra: a study on optical properties and spectral similarity scale of suspended particulate matters in water. Applied Optics, 52. 879pp. doi:10.1364/ao.52.000879
Jiao, Junnan, Lu, Yingcheng, Hu, Chuanmin, Shi, Jing, Sun, Shaojie, Liu, Yongxue (2021) Quantifying ocean surface oil thickness using thermal remote sensing. Remote Sensing of Environment, 261. 112513pp. doi:10.1016/j.rse.2021.112513
Lu, Yingcheng, Shi, Jing, Hu, Chuanmin, Zhang, Minwei, Sun, Shaojie, Liu, Yongxue (2020) Optical interpretation of oil emulsions in the ocean – Part II: Applications to multi-band coarse-resolution imagery. Remote Sensing of Environment, 242. 111778pp. doi:10.1016/j.rse.2020.111778
Lu, Yingcheng, Shi, Jing, Wen, Yansha, Hu, Chuanmin, Zhou, Yang, Sun, Shaojie, Zhang, Minwei, Mao, Zhihua, Liu, Yongxue (2019) Optical interpretation of oil emulsions in the ocean – Part I: Laboratory measurements and proof-of-concept with AVIRIS observations. Remote Sensing of Environment, 230. 111183pp. doi:10.1016/j.rse.2019.05.002
Lu, YingCheng, Tian, QingJiu, Li, Xiang (2011) The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model. Science China Earth Sciences, 54 (5) 678-685 doi:10.1007/s11430-010-4154-1
Lu, Yingcheng, Zhou, Yang, Liu, Yongxue, Mao, Zhihua, Qian, Weixian, Wang, Mengqiu, Zhang, Minwei, Xu, Jiang, Sun, Shaojie, Du, Peijun (2017) Using remote sensing to detect the polarized sunglint reflected from oil slicks beyond the critical angle. Journal of Geophysical Research: Oceans, 122 (8). 6342-6354 doi:10.1002/2017jc012793
Zhang, Yuanzhi, Lin, Hui, Liu, Qiang, Hu, Jinrong, Li, Xiaofeng, Yeung, Kin (2012) Oil-Spill Monitoring in the Coastal Waters of Hong Kong and Vicinity. Marine Geodesy, 35. 93-106 doi:10.1080/01490419.2011.637872
Wang, Bei, Yang, Junfang, Liu, Shanwei, Sun, Caiyi, Ma, Yi, Zhang, Jie (2025) Identification of marine oil spill types based on multi-source remote sensing data using multi-scale dynamic convolution model. International Journal of Remote Sensing, 46 (3). doi:10.1080/01431161.2024.2425450
Lu, J. (2003) Marine oil spill detection, statistics and mapping with ERS SAR imagery in south-east Asia. International Journal of Remote Sensing, 24 (15). doi:10.1080/01431160110076216
 
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