干旱区地理2012，Vol.35Issue(6)：890-896,7.
基于多源数据的内蒙古中东部积雪厚度研究
Snow depth in middle eastern of Inner Mongolia based on multi-source data
摘要
Abstract
Snowcover depth and snowcover data are two important parameters of regional and global climate change and basin-scale water storage in the mountainous areas. Therefore, it is important to ensure that they are accurate and as free as possible of any known biases. Compared with AVHRR, EOS/MODIS data has a higher spatial resolution and more channels. It is proved that there is a good liner relationship between snowcover depth and snowcover surface reflectance in visible to short-infrared window channels when snowcover has a 30 cm depth which makes it possible to retrieve snowcover depth using EOS/MODIS data and field data. This paper mainly introduces the principle theory and process to establish a snowcover depth retrieval model within 30 cm using EOS/MODIS visible to short infrared channels data and field measured data. The northeast of Inner Mongolia Autonomous Region (111° 909'~126°29'E,39°658' ~53°20'N) was taken as study area. Through three days(Nov. 8th, 11th and 25th, 2010) in-situ snowcover depth data of 118 in-situ observations and MODIS LIB images over study area were used for analysis. Based on the characteristics of visible light with high reflectivity from the surface, clouds and snowcover, the NDSI( Normalizing Deference Snow Index) was processed and analyzed to show the snowcover coverage and depth. Through the analysis of snowcover, based on snowcover mapping, the paper dealed with the methods of integration of multi-data, grid calculation and snowcover calculation under the support of GIS spatial analysis techniques , produced the snowcover products of observed area, and set up the snowcover depth retrieval model of EOS/ MODIS snowcover remote sensing monitoring and GIS application. This paper also simulated the snowcover depth by Kriging interpolator. The results are as follows: the statistical regression method is effective to improve monitoring accuracy of snowcover depth, snowcover coverage and other conditions'information. The paper compares the field data, snowcover depth with interpolator and snowcover depth computed by model through analysis of variance. The result is that the retrieval model has high accuracy for some in-situ data and all meteorology sites, they have no significance difference each other. It is revealed that the interpolated snowcover depth and modelled snowcover depth both were in agreement with the realistic snowcover spatial distribution in trend, but in the special site, modelled snowcover depth has better accuracy. Through the analysis of EOS/MODIS satellite data and retrieval model, the discipline was understood of snowcover accumulation and distribution in the northeast of Inner Mongolia, which offers the critical ways to the qualitative, quantitative and dynamic analysis on snowcover in Inner Mongolia, expands the service field of Inner Mongolia meteorological section, and provides the visual and timely service products for the decision-making on agriculture and animal husbandary production and the prevention and reduction of snow disaster.关键词
积雪深度/NDSI/MODIS/雪情监测Key words
snow depth/ NDSI/ MODIS/ snow monitoring分类
天文与地球科学引用本文复制引用
王赵明,张超,孙然好,陈利顶..基于多源数据的内蒙古中东部积雪厚度研究[J].干旱区地理,2012,35(6):890-896,7.基金项目
国家水体污染控制与治理科技重大专项"海河流域水生态功能三级四级分区研究"(编号:2012ZX07501002002) （编号:2012ZX07501002002）
