首页 | 官方网站   微博 | 高级检索  
     

Atmospheric correction of Landsat data for the retrieval of sea surface temperature in coastal waters
作者姓名:XING Qianguo  CHEN Chuqun  SHI Ping  YANG Jingkun  TANG Shilin
作者单位:XING Qianguo 1,CHEN Chuqun 1*,SHI Ping 1,YANG Jingkun 1,TANG Shilin 1 1.Key Laboratory of Tropical Marine Environment Dynamics,South China Sea Institute of Oceanography,Chinese Academy of Sciences,Guangzhou 510301,China
基金项目:国家研究发展基金;国家科技攻关项目;广东省科技计划
摘    要:1IntroductionRemote sensingis an effective approach for esti-mation of the sea surface temperature(SST),andadvanced very high resolution radiometer(AVHRR)and moderate resolution imaging spectroradiometer(MODIS)thermal infared(TIR)data are widelyused in th…

关 键 词:海洋表面温度  热红外  遥感技术  大气温度  湿度
收稿时间:2005-07-20
修稿时间:2005-12-14

Atmospheric correction of Landsat data for the retrieval of sea surface temperature in coastal waters
XING Qianguo,CHEN Chuqun,SHI Ping,YANG Jingkun,TANG Shilin.Atmospheric correction of Landsat data for the retrieval of sea surface temperature in coastal waters[J].Acta Oceanologica Sinica,2006,25(3):25-34.
Authors:XING Qianguo  CHEN Chuqun  SHI Ping  YANG Jingkun and TANG Shilin
Affiliation:Key Laboratory of Tropical Marine Environment Dynamics, South China Sea Institute of Oceanography, Chinese Academy of Sciences, Guangzhou 510301, China
Abstract:A mono-window algorithm was introduced to retrieve sea surface temperature (SST) using Landsat data in coastal waters. In this algorithm, the effective mean air temperature and the water vapor content of air column were estimated with the local meteorological parameters of air temperature and relative humidity, based on the facts that in the troposphere, (1) air temperature decreases linearly with the altitude, and (2) water vapor content lapses exponentially with the altitude. The sea-truth temperature data and MODIS Terra SST product were used to validate the SST retrieved from Landsat TM and ETM thermal infrared (TIR) data with the algorithm. The results show that the algorithm can improve the spatial temperature contrast which is often masked due to water vapor effects, and the temperature derived from the algorithm is closer to the sea-truth SST. When applying the algorithm, the initial parameters of air temperature and relative humidity can be easily collected from local meteorological stations, and there is no need to identify the model of air profile.
Keywords:sea surface temperature  thermal infrared  remote sensing  air temperature  humidity
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《海洋学报(英文版)》浏览原始摘要信息
点击此处可从《海洋学报(英文版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号