摘要
利用MODIS卫星资料分析研究海洋环境的变化时,需将多幅图像或数据进行融合处理。首先介绍了Terra和AquaMODIS卫星数据均值融合算法,然后利用该算法分析了2006年热带风暴"PRAPIROON"前后海表温度的变化,结果表明,南海北部研究海域海表温度在热带风暴"PRAPIROON"前平均为27.12℃,热带风暴期间平均为25.18℃,平均下降1.94℃,区域海域个别点降幅接近10℃,且研究区域海表温度的变化具有非均匀性。该方法不仅可利用多源MOIDS卫星遥感资料反应一定时期研究海域海温的变化程度,还可分析不同区域变化的差异性,对于研究其它海洋或陆地环境参量变化具有一定的应用价值。
In this article,at first,the average fusion algorithm of the Terra and Aqua MODIS satellite data was introduced,and then the changes of SST before and after tropical storm ＂PRAPIROON＂ in 2006 were analyzed.The SST was 27.12℃ before the storm and 25.18 ℃ after it in the northern of the South China Sea,respectively,there was average 1.94 ℃ drop during the storm and individual points were up to 10 ℃ decrease of temperature,in addition,the change of SST in the study area was non-uniform.This method not only can make use of multiple sources of satellite remote sensing data of MOIDS to study the change of SST in certain sea area during some period,but also analyze the difference in changes in different regions and have application value for the study of other marine or terrestrial environment changes in some parameters.
出处
《信息技术》
2010年第9期44-46,48,共4页
Information Technology
基金
海洋公益项目(200805028)
关键词
MODIS
卫星遥感
图像融合
海表温度
MODIS
satellite remote sensing
image fusion
sea surface temperature
