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天山开都河流域雪盖消融曲线研究
Snow Cover Depletion Curve in Kaidu River Basin,Tianshan Mountains

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文摘 根据遥感数据获得的雪盖消融曲线是输入到融雪径流模型中一个最重要的参数,云是影响积雪解译精度的主要因素.该文采用美国国家水文遥感中心(NOHRSC)基于NOAA/AVHRR数据通道1、2、3和4数据的theta算法,区分雪、云与陆地、水体,并将该期影像及其前一段时间内影像通过镶嵌取theta的最大值,从而既起到去云的作用,也实现对云下覆信息有效的插补.研究区受云的影响十分严重,镶嵌影像时段的长短对云的去除影响很大.10天镶嵌和30天镶嵌影像受云的影像仍然十分明显,长序列镶嵌影像(使用该期及其前期所有影像镶嵌)的雪盖消融曲线受云的影响较小,可以作为SRM等融雪径流模型比较准确的输入参数.研究区从3月中旬到4月末积雪融化迅速,到了5月份,尤其是6月和7月积雪分布范围很小且比较稳定.研究区内可划分为6个高程带,其中高程带C和D积雪变化对径流影响最为显著.各高程带积雪覆盖率一般在3月中旬达到最大值,高程带A、B内的积雪基本上在4月中旬融化完毕,高程带C和D积雪5月份基本融化完毕,而海拔较高的高程带E和F积雪要到5月或6月积雪消融才停止并保持稳定.
其他语种文摘 The Snow Cover Depletion Curve based on remote sensing is one of the most important parameters of snow-runoff simulation models. Cloud is the major factors that affect the accuracy of snow mapping. In this paper, the theta method (cosθ = F·G/‖F‖‖G‖) developed by American National Operational Remote Sensing Center (NOHRSC) based on Channel 1,2, 3, 4 of NOAA/AVHRR data was used to discriminate snow and cloud from land and water body by computing the angle between the four dimensional vector of remote sensing data and reference data. Then, the mosaic maximum theta value image was computed using theta images in specific periods. Since the theta of clouds and snow was least in theta images, the effect of clouds can be reduced and the snow distribution can also be interpolated in the mosaic theta image. In Kaidu River Basin , the snow mapping was affected by cloud contamination very seriously and the ability to eliminate clouds changed very much by different mosaic periods. The Snow Cover map from 10-day mosaic data and 30-day mosaic data was contaminated by clouds still quite seriously and can' t be used for snow-runoff simulation model. The Snow Cover Depletion Curve using mosaic image from all the remote sensing data before the mapping data and can eliminate clouds very effectively. This curve can be input to snow-runoff model such as Snowmelt Runoff Model (SRM) to simulate the hydrological process. The snow melted rapidly from the middle of March to the end of April. In May, especially in June and July, the distribution of snow was very limited and stable in study area. The study area can be divided into six elevation zones and the snow change in elevation zone C and D, which occupy 67.5 % of the total area, give more contribution to Kaidu River run-off. The percentage of snow cover in all the elevation zones covered the most in March and that was 70.7 % , 69.2% respectively in 1993 and 1995. The snow in elevation zone A and B melted completely to the middle of April, but snow cover in the middle of March varied greatly and was 31.7% and 83.8 % respectively in 1993 and 1995 and the rate of snow cover change was fast during all snow melting season. The snow cover in elevation zone C and D melted completely in May, the snow except for that above snow line in elevation zone E and F melted completely in May or June.
来源 资源科学 ,2004,26(6):23-29 【核心库】
关键词 天山开都河 ; 雪盖消融曲线 ; NOAA/AVHRR ; 水文过程
地址

中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京, 100101

语种 中文
文献类型 研究性论文
ISSN 1007-7588
学科 自然地理学;自动化技术、计算机技术
基金 国家自然科学基金资助项目 ;  中国科学院地理科学与资源研究所知识创新工程
文献收藏号 CSCD:1646372

参考文献 共 18 共1页

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引证文献 8 篇

1 裴欢 基于遥感与地埋信息系统的额敏河流域积雪变化分析 遥感信息,2006(3):54-56,63
被引 0 次

2 房世峰 遥感和GIS支持下的分布式融雪径流过程模拟研究 遥感学报,2008,12(4):655-662
被引 11 次

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