干旱区研究

干旱区研究 ›› 2012, Vol. 29 ›› Issue (2): 312-319.

• 气候变化 • 上一篇    下一篇

中国干旱区积雪面积产品去云处理方法验证与评估

 王增艳1,2, 车涛1   

    1. 中国科学院 寒区旱区环境与工程研究所，甘肃 兰州 730000；
    2. 中国科学院 研究生院，北京 100049
  • 收稿日期:2011-09-25 修回日期:2011-12-07 出版日期:2012-03-15 发布日期:2012-04-10
  • 通讯作者: 车涛. E-mail：chetao@lzb.ac.cn
  • 作者简介:王增艳（1987-），女，河南济源人，在读硕士研究生，主要从事冰冻圈积雪遥感研究. E-mail：w457365@126.com
  • 基金资助:

    国家自然科学基金项目（40971188）

Validation and Assessment of Cloud Obscuration Reduction of Snow Cover Products in Arid Areas in China

 WANG  Zeng-Yan1,2, CHE  Tao1   

    1. Cold and arid regions environment and engineering research institute, Chinese academy of sciences, Lanzhou 730000, China;
    2.  Graduate University, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-09-25 Revised:2011-12-07 Online:2012-03-15 Published:2012-04-10

PDF (PC)

975

赞

被引次数

24

摘要： 针对MODIS每日积雪产品中云覆盖现象严重这一问题，以中国干旱区作为研究对象，结合AMSR-E被动微波雪深数据，采用多时相、多传感器数据融合的方法进行去云处理，获取MODIS每日，4 d,8 d和MODIS与AMSR-E融合后的每日,4 d与8 d共6种新的积雪产品，并分别提取其积雪持续日数（SCD）。对比结果显示，MODIS与AMSR-E多传感器的阈值法4日融合产品在融合算法效率、云去除效果和融合后保持较高分类精度方面均有较好表现，其融合后的无云产品在全天气条件下具有96%的整体分类精度、80%的雪分类精度和99%的陆地分类精度，大大高于研究区原MODIS Terra-Aqua每日融合积雪产品全天候条件下64%，32%和70%的整体、雪、陆分类精度；并且由其提取的积雪持续日数不仅在最大程度上保持了原MODIS产品高的空间分辨率，而且精度较高，对研究区积雪的空间分布状况有很好反映。

关键词: 积雪面积, 产品, 持续日数（SCD）, MODIS, 空间分辨率, 去云处理, 干旱区, 中国

Abstract: Cloud coverage in daily snow cover products is a main obstacle in using Moderate Resolution Imaging Spectroradiometer (MODIS). In this study, the multitemporal and multisensor combination approaches are applied to reduce cloud obscuration with Aqua Advanced Microwave Scanning Radiometer for NASA’S Earth Observing System (AMSR-E)  snow depth products introduced as the auxiliary data to develop 6 new kinds of snow cover products. Different snow cover duration days(SCD) maps are developed from these combined products. The results are as follows: (1) MODIS and AMSR-E 4-day thresholdcombined snow cover product performed well in algorithm efficiency, cloud-reducing effect and capability in maintaining relatively high spatiotemporal resolutions; (2) Under all weather conditions, the overall, snow and land accuracies of the resulted cloud-free products were 96%, 80% and 99%, and they were significantly higher than 64%, 32% and 70% of the original MODIS Terra and Aqua combination product, respectively; (3) The SCD map generated from this product could not only maintain a high spatial resolution of the original MODIS product, but also could precisely reflect the spatial distribution of the snow cover status in the study area.

Key words: snow covers, product SCD, MODIS, spatial resolution, cloud obscuration reduction, arid area, China