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遥感技术与应用  2011, Vol. 26 Issue (1): 103-110    DOI: 10.11873/j.issn.1004-0323.2011.1.103
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基于高空间分辨率的热污染遥感监测研究进展
王祥1,2,赵冬至2,黄凤荣3,杨建洪2,苏岫2
(1.大连海事大学环境科学与工程学院,辽宁 大连116026;2.国家海洋环境监测中心,辽宁 大连116023;
3.辽宁师范大学城市与环境学院,辽宁 大连116029)
Research on Monitoring of Thermal Pollution based on High Spatial Resolution Image
WANG Xiang1,2,ZHAO Dong-zhi2,HUANG Feng-rong3,YANG Jian-hong2,SU Xiu2
(1.College of Environmental Science and Engineering,Dalian Maritime University,
Dalian 116026,China;2.National Marine Environmental Monitoring Center,Dalian 116023,China;
3.Liaoning Normal University,Dalian 116029,China)
 全文: PDF(881 KB)  
摘要:

综述了卫星遥感热红外海表温度反演原理,并对海表温度中的“皮温”和“体温”进行了界定;着重总结了热红外遥感海表温度反演的主要方法—单通道法、分裂窗法、多角度法等;详细介绍了具有较高热红外通道空间分辨率卫星传感器Landsat TM/ETM+、CBERS-02 IRMSS、ASTER、HJ-1B IRS的海表温度反演算法,并对各卫星热红外通道特点进行了对比;最后,对影响热红外温度反演精度的因素进行了简要分析,指出了目前研究存在的问题并对未来的研究方向进行了展望。

关键词: 热红外遥感海表温度高空间分辨率    
Abstract:

Review the theories of SST retrieval based on Thermal Infrared remote sensing images and gives the definitions of Skin and Bulk temperature,as well,summarizes the basic algorithms of SST retrieval,including Single Channel Algorithm,Split\|window Algorithm and Multi\|angle Algorithm,especially,focus on the SST Retrieval Algorithms of Landsat TM/ETM+,CBERS-02 IRMSS,ASTER,HJ-1B IRS in detail,which have high resolution TIR channel,finally,comparing characters of various TIR channel aboard and analyses the effective factors of SST retrieval,listing the problems at present and prospecting the research of future.

Key words: Thermal infrared    Remote sensing    Sea Surface Temperature(SST)    High spatial resolution
收稿日期: 2010-01-27 出版日期: 2011-05-05
:  TP 79  
基金资助:

908专项(908-02-03-01)。

通讯作者: 赵冬至(1964-),男,辽宁辽阳人,博士,研究员,博士生导师,主要从事赤潮、溢油、水质和海洋生态环境的卫星遥感与GIS相关技术研究。Email:dzzhao@nmemc.gov.cn。     E-mail: wx841225@163.com
作者简介: 王祥(1984-),男,山东潍坊人,博士研究生,主要从事海洋环境遥感研究。Email:wx841225@163.com。
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引用本文:

王祥,赵冬至,黄凤荣,杨建洪,苏岫. 基于高空间分辨率的热污染遥感监测研究进展[J]. 遥感技术与应用, 2011, 26(1): 103-110.

WANG Xiang,ZHAO Dong-zhi,HUANG Feng-rong,YANG Jian-hong,SU Xiu. Research on Monitoring of Thermal Pollution based on High Spatial Resolution Image. Remote Sensing Technology and Application, 2011, 26(1): 103-110.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.1.103        http://www.rsta.ac.cn/CN/Y2011/V26/I1/103

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