首页|期刊导航|大气和海洋科学快报：英文版|Fog Detection over China＇s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data
大气和海洋科学快报：英文版2012，Vol.5Issue(2)：128-133,6.
Fog Detection over China＇s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data
Fog Detection over China＇s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data
摘要
Abstract
A fog threshold method for the detection of sea fog from Multi-function Transport Satellite （MTSAT1R） infrared （IR） channel data is presented.This method uses principle component analysis （PCA）,texture analysis,and threshold detection to extract sea fog information.A heavy sea fog episode that occurred over China＇s adjacent sea area during 7 8 April 2008 was detected,indicating that the fog threshold method can effectively detect sea fog areas nearly 24 hours a day.MTSAT-1R data from March 2006,June 2007,and April 2008 were processed using the fog threshold method,and sea fog coverage information was compared with the meteorological observation report data from ships.The hit rate,miss rate,and false alarm rate of sea fog detection were 66.1%,27.3%,and 33.9%,respectively.The results show that the fog threshold method can detect the formation,evolution,and dissipation of sea fog events over period of time and that the method has superior temporal and spatial resolution relative to conventional ship observations.In addition,through MTSAT-1R data processing and a statistical analysis of sea fog coverage information for the period from 2006 to 2009,the monthly mean sea fog day frequency,spatial distribution and seasonal variation characteristics of sea fog over China＇s adjacent sea area were obtained.关键词
数据检测/邻近海域/卫星数据/MTSAT/中国/多功能运输卫星/静止/季节变化特征Key words
sea fog/MTSAT geostationary satellite/spatial distribution/seasonal variation分类
信息技术与安全科学引用本文复制引用
..Fog Detection over China＇s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data[J].大气和海洋科学快报：英文版,2012,5(2):128-133,6.基金项目
supported by the National Natural Science Foundation of China （）
Ministry of Science and Technology（MOST） （）
