Oil spill detection from thermal anomaly using ASTER data in Yinggehai of Hainan, China

被引:9
作者
Cai, Guoyin [2 ]
Wu, Jian [3 ]
Xue, Yong [1 ,4 ]
Wan, Wei [1 ]
Huang, Xiaoxia [1 ]
机构
[1] Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, POB 9718, Beijing 100101, Peoples R China
[2] Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Informat, Beijing 100044, Peoples R China
[3] Beijing Informat Technol, Beijing, Peoples R China
[4] London Metropolitan Univ, Dept Comp, London, England
来源
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年
基金
中国国家自然科学基金;
关键词
oil spill; ASTER; sea surface temperaturee; apparent thermal inertia;
D O I
10.1109/IGARSS.2007.4422942
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
The detection of oil spill is very important for the oil exploration. Remote sensing technology is one of the methods to detect the potential oil basin, especially in a large region. High resolution satellite images can be used as an approach of early oil exploration because its visualized, continuous and macroscopical characteristics. In this paper, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data were used to detect the possible oil regions in the Yinggehai area of Hainan Province, China from thermal anomaly including sea surface temperature and apparent thermal inertia. By comparing with the drilling materials, our results show that the area with oil spill has a lower temperature and higher thermal inertia values than the surrounding areas. It indicates that our derived sea surface temperature and apparent thermal inertia anomaly just reflect the above mentioned status and the method can be used to detect the potential oil basin.
引用
收藏
页码:898 / 900
页数:3
相关论文
共 10 条
[1]  
[Anonymous], REMOTE SENSING ENV
[2]   SIMPLE THERMAL-MODEL OF EARTHS SURFACE FOR GEOLOGIC MAPPING BY REMOTE-SENSING [J].
KAHLE, AB .
JOURNAL OF GEOPHYSICAL RESEARCH, 1977, 82 (11) :1673-1680
[3]  
KAHLE AB, 1975, P 10 INT S REM SENS, V2, P985
[4]   Narrowband to broadband conversions of land surface albedo I Algorithms [J].
Liang, SL .
REMOTE SENSING OF ENVIRONMENT, 2001, 76 (02) :213-238
[5]   ON THE ANALYSIS OF THERMAL INFRARED IMAGERY - THE LIMITED UTILITY OF APPARENT THERMAL INERTIA [J].
PRICE, JC .
REMOTE SENSING OF ENVIRONMENT, 1985, 18 (01) :59-73
[6]   THERMAL INERTIA MAPPING - NEW VIEW OF EARTH [J].
PRICE, JC .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS AND ATMOSPHERES, 1977, 82 (18) :2582-2590
[7]   Combining afternoon and morning NOAA satellites for thermal inertia estimation 1. Algorithm and its testing with Hydrologic Atmospheric Pilot Experiment-Sahel data [J].
Sobrino, JA ;
El Kharraz, MH .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D8) :9445-9453
[8]   OPERATIONAL BI-ANGLE APPROACH TO RETRIEVE THE EARTH SURFACE ALBEDO FROM AVHHR DATA IN THE VISIBLE BAND [J].
XUE, Y ;
CRACKNELL, AP .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1995, 16 (03) :417-429
[9]   ADVANCED THERMAL INERTIA MODELING [J].
XUE, Y ;
CRACKNELL, AP .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1995, 16 (03) :431-446
[10]   Iterative self-consistent approach for earth surface temperature determination [J].
Xue, Y ;
Cai, Y ;
Guan, YN ;
Cracknell, AP ;
Tang, K .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (01) :185-192