Pedestal height for sea oil slick observation

被引：62
作者：
Nunziata, F. [1 ]
Migliaccio, M. [1 ]
Gambardella, A. [2 ]
机构：
[1] Univ Napoli Parthenope, Dept Technol, Naples, Italy
[2] European Commiss Inst Energy, Joint Res Ctr, Renewable Energy Unit, Ispra, Italy
来源：
IET RADAR SONAR AND NAVIGATION | 2011年 / 5卷 / 02期
关键词：
RADAR POLARIMETRY; SAR IMAGES; SCATTERING; SURFACE; OCEAN; CLASSIFICATION; SIGNATURES; FEATURES; MUELLER; SPILLS;
D O I：
10.1049/iet-rsn.2010.0092
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this study fully polarimetric synthetic aperture radar (SAR) measurements are employed for sea oil slick observation. The co-polarised signature is read in terms of sea surface scattering mechanism with and without surface slicks and it is shown to be sensitive to the presence of sea oil slicks. A model, which relates the pedestal of the polarisation signature to the presence of surface slicks, is developed and successfully tested on L-band ALOS-PALSAR, C-band RADARSAT-2 and C-band SIR-C/X-SAR full-polarimetric SAR data. Experiment results show that polarisation signature, and its pedestal height, can be successfully exploited for both observing sea oil slicks and distinguishing them from weak-damping properties look-alikes.
引用
收藏
页码：103 / 110
页数：8
相关论文
共 50 条
  • [31] Using GNSS-R Imaging of the Ocean Surface for Oil Slick Detection
    Valencia, Enric
    Camps, Adriano
    Rodriguez-Alvarez, Nereida
    Park, Hyuk
    Ramos-Perez, Isaac
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (01) : 217 - 223
  • [32] Feasibility of Oil Slick Detection Using BeiDou-R Coastal Simulation
    Zhang, Yun
    Chen, Shanshan
    Hong, Zhonghua
    Han, Yanling
    Li, Binbin
    Yang, Shuhu
    Wang, Jing
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [33] Accuracy Improvement of the Radar Backscatter Simulation from Sea Surface Covered by Oil Slick Using Fetch- Dependent Waveheight Spectrum: Comparison with the 2007 Heibei Spirit Case in the Yellow Sea
    Kim, Tae-Ho
    Yang, Chan-Su
    Ouchi, Kazuo
    [J]. OCEAN SCIENCE JOURNAL, 2016, 51 (02) : 235 - 249
  • [34] OIL SLICK DETECTION IN THE OFFSHORE DOMAIN: EVALUATION OF POLARIZATION-DEPENDENT SAR PARAMETERS
    Angelliaume, Sebastien
    Dubois-Fernandez, Pascale
    Jones, Cathleen E.
    Holt, Benjamin
    Minchew, Brent
    Amri, Emna
    Miegebielle, Veronique
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8096 - 8099
  • [35] Modeling oil weathering and transport in sea ice
    Afenyo, Mawuli
    Khan, Faisal
    Veitch, Brian
    Yang, Ming
    [J]. MARINE POLLUTION BULLETIN, 2016, 107 (01) : 206 - 215
  • [36] Predicting Offshore Oil Slick Formation: A Machine Learning Approach Integrating Meteoceanographic Variables
    Streitenberger, Simone C.
    Romao, Estevao L.
    Almeida, Fabricio A.
    de Souza, Antonio C. Zambroni
    Orlando Jr, Aloisio E.
    Balestrassi, Pedro P.
    [J]. WATER, 2025, 17 (07)
  • [37] Ultrasonic Measurement on the Thickness of Oil Slick Using the Remotely Operated Vehicle (ROV) as a Platform
    Du, Hualong
    Yao, Di
    Li, Shuo
    Zhang, Qifeng
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [38] USE OF REMOTE SENSING RADAR IMAGES FOR OFFSHORE OIL SLICK DETECTION IN OIL AND GAS DOMAIN: MANUAL AND AUTOMATIC INTERPRETATION
    Miegebielle, Veronique
    Conche, Bruno
    Huang, Zhexuan
    Xie, Peigen
    Killisly, Clement
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 5871 - 5874
  • [39] Comparing the steric height in the Nordic Seas with satellite altimeter sea surface height
    Shao Qiuli
    Zhao Jinping
    [J]. ACTA OCEANOLOGICA SINICA, 2015, 34 (07) : 32 - 37
  • [40] Marine Oil Slick Detection Based on Multi-Polarimetric Features Matching Method Using Polarimetric Synthetic Aperture Radar Data
    Li, Guannan
    Li, Ying
    Liu, Bingxin
    Wu, Peng
    Chen, Chen
    [J]. SENSORS, 2019, 19 (23)
12345