摘要
遥感技术已逐步成为大范围内积雪信息提取的主要手段,但通常的遥感积雪像元识别算法使用二值判定的模式,这对于山区非连续分布的积雪监测能力较差.针对目前应用广泛的MODIS传感器数据,充分利用了雪盖指数在积雪监测中的重要性,并在考虑了地表覆盖的情况下,建立了像元雪盖率与雪盖指数、植被指数之间的线性关系模型,并利用ETM+数据对模型估算的雪盖率进行了验证.结果表明,该方法能有效地提取亚像元尺度的积雪信息.
Recently, remote sensing data become the most popular source for acquiring the snow cover information because of easy operation without in--situ investigation. There are many methods to extract snow cover information for various remote sensing data sources, but the results of them are binary images of snow cover. These methods are not suitable for monitoring snow cover in mountain regions. In this study, a simplified algorithm is put forward for MODIS data to get subpixel snow cover information based on the relationship between snow coverage and normalized difference snow index （NDSI）, normalized difference vegetation index （NDVI）. Finally, a validation for this algorithm using the result from ETM＋ data has been carried out. This study indicates that the fraction of snow cover within a MODIS pixel can be estimate by the algorithm effectively.
出处
《冰川冻土》
CSCD
北大核心
2006年第4期562-567,共6页
Journal of Glaciology and Geocryology
基金
国家科技部与欧空局合作项目(PRA-T02-02)
国家科技部项目(2003DKA1T007)资助
关键词
雪盖率
雪盖指数
植被指数
snow coverage
normalized difference snow index
normalized difference vegetation index
