首页|基于MODIS数据的雪深反演--以天山北坡经济带为例

基于MODIS数据的雪深反演--以天山北坡经济带为例

Inversion of Snow Depth from MODIS Data:A Case Study of the Nor thern Slope Economic Zone of Tianshan Mountain

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应用中分辨率成像光谱仪(MODIS)数据进行雪深遥感反演理论和方法的研究.利用全波 段地物光谱仪对不同深度的积雪进行反射光谱值野外量测且同步测定雪深,通过分析雪深和 反射光谱值的关系确定反演雪深的MODIS最佳观测通道,应用新疆地区冬季MODIS 1B数据, 以天山北坡经济带为实验区,结合该区域同期气象台地面雪深观测记录数据建立雪深遥感反 演数学公式.雪深反演结果与实测值对比表明,应用MODIS数据进行大区域雪深反演时 ,其结果具有分辨率高、监测范围广的特点,可以清楚反映积雪覆盖范围和雪深空间分布特征,对地表径流量计算、农业开发等具有应用价值.
For its high spectral and time resolution) MODIS data was more suitable lor the inversion of snow depth compared to NOAA and other remotely sensed dat a. The ASD (Analytical Spectral Devices) was used to measure the spectrum of sno w in different depth levels. The spectral characteristics of the snow at various depth levels were studied and the relationship between the reflectance and the snow depth was analyzed. Thus, the best channels ol MODIS lor snow depth inversi on were identified based on the experiments. In this paper, the authors take nor them slope economic zone of Tianshan Mountain as an example to inverse the snow depth. The MODIS 1B level images of Xingjiang from Dec. 2004 to Mar. 2005 were ob tained as the remote sensing data source. Recorded snow depths were acquired fro m the meteorological station as field sample data.The relationship between MODI S reflectance and snow depth was built up and used to do the inversion of the wh ole study area. According to comparison of the inversed snow depth and the field measured depth , the authors iind that the method has the advantage of high accu racy and great monitoring range. The result clearly demonstrates the snow covera ge and the distribution of the snow depth. The inversed results could be well us ed in the calculation of surface runoff and the development planning of the agri culture.

MODISreflected spectrumsnow depthnorthern slope economic zone of Tianshan Mountaininversion

刘艳、张璞、李杨、李国华

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中国气象局乌鲁木齐沙漠气象研究所,新疆,乌鲁木齐,830002

中南电力设计院,湖北,武汉,430071

中分辨率成像光谱仪 反射光谱值 雪深 天山北坡经济带 反演

科技部社会公益研究项目中国气象局科技研究项目

2004D IB3J118

2005

地理与地理信息科学
河北省科学院地理科学研究所

地理与地理信息科学

CSSCICSCDCHSSCD
影响因子:1.122
ISSN:1672-0504
年,卷(期):2005.21(6)
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