Shi, Lijian
(Ocean Remote Sensing Institute, Ocean University of China, Key Laboratory of Ocean Remote Sensing of Ministry of Education)
,
Ivanov, Andrei Yu.
(Ocean Remote Sensing Institute, Ocean University of China, Key Laboratory of Ocean Remote Sensing of Ministry of Education, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences)
,
He, Mingxia
(Ocean Remote Sensing Institute, Ocean University of China, Key Laboratory of Ocean Remote Sensing of Ministry of Education)
,
Zhao, Chaofang
(Ocean Remote Sensing Institute, Ocean University of China, Key Laboratory of Ocean Remote Sensing of Ministry of Education)
Oil pollution of the ocean is a major environmental problem, especially in its coastal zones. Synthetic aperture radar (SAR) flown on satellites, such as ERS-2 and Envisat, has been proved to be a useful tool in oil spill monitoring due to its wide coverage, day and night, and all-weather capability...
Oil pollution of the ocean is a major environmental problem, especially in its coastal zones. Synthetic aperture radar (SAR) flown on satellites, such as ERS-2 and Envisat, has been proved to be a useful tool in oil spill monitoring due to its wide coverage, day and night, and all-weather capability. The total 120 SAR images containing oil spill over the East China Sea were collected and analyzed, ranging in date from July 23, 2002 to November 11, 2005. After preprocessed, SAR images were segmented by adaptive threshold method. The oil spill images were incorporated into GIS after distinguished from look-like phenomena, finally we presented the oil spills distribution map for the East China Sea. The wide-swath and quick-looks SAR imagery for mapping of oil spill distribution over large marine areas were proved to be useful when full resolution data are not available. After the temporal and spatial distribution of the oil spills were analyzed, we found that most of oil spills were distributed along the main ship routes, which means the illegal discharge by ships, and the occurrence of oil spill detected on SAR images acquired during morning and summer is much higher than during evening and winter.
Oil pollution of the ocean is a major environmental problem, especially in its coastal zones. Synthetic aperture radar (SAR) flown on satellites, such as ERS-2 and Envisat, has been proved to be a useful tool in oil spill monitoring due to its wide coverage, day and night, and all-weather capability. The total 120 SAR images containing oil spill over the East China Sea were collected and analyzed, ranging in date from July 23, 2002 to November 11, 2005. After preprocessed, SAR images were segmented by adaptive threshold method. The oil spill images were incorporated into GIS after distinguished from look-like phenomena, finally we presented the oil spills distribution map for the East China Sea. The wide-swath and quick-looks SAR imagery for mapping of oil spill distribution over large marine areas were proved to be useful when full resolution data are not available. After the temporal and spatial distribution of the oil spills were analyzed, we found that most of oil spills were distributed along the main ship routes, which means the illegal discharge by ships, and the occurrence of oil spill detected on SAR images acquired during morning and summer is much higher than during evening and winter.
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문제 정의
This paper presents and discusses the first results of the oil spill mapping project over the East China Sea. The collected SAR images were incorporated into GIS after the appearance of oil spills were emphasized, image segmented and the accurate location information obtained.
가설 설정
2. In East China Sea, most oil spills are caused by ships* illegal discharge. There are some other type oil spills such as natural seepage, fishing production waste.
4. The occurrence of oil spill detected on SAR images acquired during morning and summer is much higher than it during evening and winter.
5. The number of collected SAR images is stili not enough and distribution over some area is not exact. So much more SAR images are needed to be collected and processed in order to obtain more accurate information about oil spill distribution and risk areas in the China Seas.
제안 방법
The collected SAR images were incorporated into GIS after the appearance of oil spills were emphasized, image segmented and the accurate location information obtained. Then the temporal and spatial distributions of oil spill were analyzed.
The collected SAR images were incorporated into GIS after the appearance of oil spills were emphasized, image segmented and the accurate location information obtained. Then the temporal and spatial distributions of oil spill were analyzed.
대상 데이터
html). Bathymetric contours were extracted from the ETOPO-2 Topographic Model downloaded from the web-based archives of the University Corporation for Atmospheric Research (UCAR) (http://dss.ucar.edu/datasets/ds759.3/data).Platfbrm locations and major shipping lanes were obtained from the East China Sea Branch of State Oceanic Administration of China (SOA) (http://www.
They were downloaded from the web-based ESA EOLI ODISSEO Catalogue and from the BRSGS catalogue. The data were collected in JPEG format with pixel size of 200 m (resolution 〜400 m); each QL image also covers a marine area of 100X100 km2.
the East China Sea in 2002^2005. The total 120 SAR images (35 strips) were found in the archive, date ranging from July 23, 2002 to November 11, 2005.
This research was carried out in the frameworks of the Dragon Project (ID2566) and AO Envisat project #226 at the Ocean Remote Sensing Institute (Ocean University of China) with financial support from the Key Laboratory of Ocean Remote Sensing of Ministry of Education and Ocean University of China. We are very grateful to ESA for the timely acquisition, processing and delivery of the SAR images.
data of several sources. Vector shoreline data were obtained from the NOAA's National Geophysical Data Center(NGDC)(http://rimmer.ngdc.noaa.gov/mgg/coast/g etcoast.html). Bathymetric contours were extracted from the ETOPO-2 Topographic Model downloaded from the web-based archives of the University Corporation for Atmospheric Research (UCAR) (http://dss.
이론/모형
SAR images typically have a variation in gain across the range direction due to the instrumenfs antenna gain difference. This gain variation can be removed by using the ENVI's Antenna Pattern Correction procedure. But due to the presence of land, the ENVFs result is not satisfying.
성능/효과
3. The most serious polluted zone is the central part of the Yellow Sea with limited by 31-37°N latitudes and 122-124°E longitudes. The most oil spills are distributed along the shipping routes, which is similar to the findings reported in Gade and Alpers(1999), Lu et al.
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