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基于ENVI二次开发的遥感雪面温度反演方法
引用本文:卢新玉,王秀琴,崔彩霞,谢国辉,芮建梅.基于ENVI二次开发的遥感雪面温度反演方法[J].气象科技,2012,40(1):35-40.
作者姓名:卢新玉  王秀琴  崔彩霞  谢国辉  芮建梅
作者单位:1. 新疆气象台,乌鲁木齐,830002
2. 新疆昌吉州气象局,昌吉,831100
3. 新疆气象局,乌鲁木齐,830002
4. 哈密地区气象局,新疆,哈密839000
基金项目:公益性行业(气象)科研专项(GYHY201106007)和沙漠气象科学研究基金项目(SQJ2009006)共同资助
摘    要:针对MODIS数据的分裂窗算法进行了简要介绍,通过ENVI(ENvironment for Visualizing Images)二次开发,实现了直接利用MODIS lB数据进行雪面温度反演。在ENVI二次开发环境下,编程实现了该算法,并给出了具体的数据反演处理流程。以我国新疆北部为例,将反演结果与气象站雪面温度观测资料对比。结果表明:系统反演得到的雪面温度分布规律与观测资料一致,反演的平均误差为1.73℃,基本反映了北疆地区的雪面温度分布情况;利用ENVI二次开发可以实现遥感数据的批量处理,从而快速准确地得到一个长时间序列的结果。

关 键 词:分裂窗算法  雪面温度  反演  ENVI  二次开发
收稿时间:7/2/2010 12:00:00 AM
修稿时间:2011/3/23 0:00:00

Redeveloped ENVI-Based Approach for Retrieving Snow Surface Temperature from Remote Sensing Data
Lu Xinyu,Wang Xiuqin,Cui Caixi,Xie Guohui and Rui Jianmei.Redeveloped ENVI-Based Approach for Retrieving Snow Surface Temperature from Remote Sensing Data[J].Meteorological Science and Technology,2012,40(1):35-40.
Authors:Lu Xinyu  Wang Xiuqin  Cui Caixi  Xie Guohui and Rui Jianmei
Institution:Lu Xinyu Wang Xiuqin Cui Caixia Xie Guohui Rui Jianmei (1 Xinjiang Meteorological Observatory,Urumqi 830002;2 Chanji Meteorological Service,Xinjiang,Changi 831100; 3 Xinjiang Meteorological Service,Urumqi 830002;4 Hami Meteorological Service,Xinjiang,Hami 839000)
Abstract:The splits window algorithm is used to retrieve the snow surface temperature from MODIS 1B data through redeveloping the ENVI software.The details of image processing and programming are given.Taking the northern Xinjiang as an example,the approach is used to calculate the snow surface temperature,and the retrieved results are compared with the observed snow temperatures from automatical meteorological stations.The comparison indicates that the retrieved snow surface temperature distribution is consistent with observed one,and the average error is 1.73 ℃,which is acceptable,can basically reflect the distribution of snow surface temperature over the northern Xinjiang.With the method,the batch processing of remote sensing data can be realized,so to build a long time sequence rapidly and accurately.
Keywords:splits window algorithm  snow surface temperature  retrieval  ENVI  redevelopment
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