长江流域资源与环境 >> 2010, Vol. 19 >> Issue (05): 566-.

• 生态环境 • 上一篇    下一篇

基于MODIS与HJ-1-B数据的雪盖率反演及其相关因子分析

张旭1|2| 唐宏3| 赵祥3| 周廷刚1|2*   

  1. (1.西南大学地理科学学院| 重庆 400715;2.三峡库区生态环境教育部重点实验室| 重庆 400715; 3.北京师范大学减灾与应急管理研究院| 北京 100875)〖
  • 出版日期:2010-05-20

SUB PIXEL SNOW COVERAGE AND CORRELATION FACTORS ANALYSIS BASED ON MODIS AND HJ-1-B DATA

ZHANG Xu1|2| TANG Hong3| ZHAO Xiang3| ZHOU Tinggang1|2   

  1. (1.School of Geographical Sciences| Southwest University| Chongqing 400715| China; 
    2.Key Laboratory of Ecoenvironments in Three Gorges Reservoir Region (Ministry of Education)| Chongqing 400715| China; 
    3.Academy of Disaster Reduction and Emergency Management| Beijing Normal University| Beijing 100875| China)〖
  • Online:2010-05-20

摘要:

随着空间信息技术的发展及社会经济对雪盖监测产品的需求,亚像元雪盖制图逐渐成为积雪监测研究的重点。以环境与减灾卫星(HJ1B)数据作为地面真值计算MODIS数据中每个像元的积雪覆盖率,并与归一化雪被指数(NDSI)建立回归模型,从亚像元尺度反演MODIS数据的积雪覆盖率。以青海省玉树州作为研究区,实验结果表明该算法反演的雪覆盖率平均绝对误差均在02以内,在可接受的误差范围之内,说明该算法具有较强的稳定性和实用性。此外,在积雪覆盖率反演基础上,提出了与积雪覆盖率相关的另外两个相关因子:地表温度(LST)和植被指数(NDSI),分析表明:这两个因子与积雪覆盖率均存在明显的负相关关系,为基于多因子的雪盖率反演奠定了基础 

Abstract:

Using HJ1B 30m observation as “ground truth” to calculate the percentage of snow cover for MODIS 480m cells,this paper present an algorithm for MODIS data to obtain subpixel snow cover information based on a regression relationship between MODIS 480m NDSI observation and fractional snow cover.The application of this method is tested in three regions located in Yushu,Qinghai province.The overall results indicate that the relationship between fractional snow cover and NDSI is reasonably robust with a mean absolute error less than 0.2.Fanally,based on snow cover information,this paper puts forward the
land surface temperature (LST) and normalized difference vegetation index (NDVI) as the two correlation factors related to percentage of snow cover.The analysis indicates that there is a significant negative correlation between them.Therefore,the results lays a foundation for extracting snow cover information based on multifactor

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