A SAR-BASED FEASIBILITY STUDY ON DETECTION OF OIL SEEPAGE FROM BURIED PIPELINES

被引:0
作者
Guida, R. [1 ]
Amitrano, D. [1 ]
Iervolino, P. [1 ]
Jenney, Lorraine [2 ]
Wright, L. [3 ]
机构
[1] Univ Surrey, Surrey Space Ctr, Guildford, Surrey, England
[2] DNV GL, Haltwhistle, England
[3] Natl Phys Lab, Teddington, Middx, England
来源
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
关键词
SAR; oil spill; seepage; pipelines;
D O I
10.1109/IGARSS39084.2020.9323812
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the event of an accidental oil spillage from buried pipelines, the leakage may be detected fairly late, sometimes months after it started, with economic and environmental impacts that are difficult to recover. An early detection is desirable but difficult to achieve when the pipelines are buried, hidden by thick vegetation or in quite isolated areas. If the extent of buried pipelines network is also considered the problem may appear cumbersome. Satellites may support an early detection and, a feasibility study proving so, is described in this paper. A controlled spillage exercise has been organized in the UK and satellite data acquisitions tasked. Synthetic Aperture Radar datasets have been acquired over the site, before and after the controlled spillage, in three different tests with different quantities of red diesel spilled. The design of the whole exercise is described in the paper in addition to the SAR data processing. Preliminary results show that a significant change in the mean backscattering coefficient (a decrease of about 1 dB) is appreciated in X-band SAR data when the volume of oil, spilled or poured, reaches values in the order of 160 gallons.
引用
收藏
页码:1977 / 1980
页数:4
相关论文
共 4 条
  • [1] DeGrandi GF, 1997, INT GEOSCI REMOTE SE, P1047, DOI 10.1109/IGARSS.1997.615338
  • [2] Development of a frozen soil dielectric constant model and determination of dielectric constant variation during the soil freezing process
    Guo, Ying
    Xu, Shuang
    Shan, Wei
    [J]. COLD REGIONS SCIENCE AND TECHNOLOGY, 2018, 151 : 28 - 33
  • [3] Microwave remote sensing of flood inundation
    Schumann, Guy J. -P.
    Moller, Delwyn K.
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2015, 83-84 : 84 - 95
  • [4] Ulaby F., 2014, Microwave Radar and Radiometric Remote Sensing, V4