基于MODIS的青藏高原季节性积雪去云方法可行性比较研究

doi:10.7522/j.issn.1000-0240.2016.0080

冰川冻土 ›› 2016, Vol. 38 ›› Issue (3): 714-724.doi: 10.7522/j.issn.1000-0240.2016.0080

基于MODIS的青藏高原季节性积雪去云方法可行性比较研究

张欢^{1 2}, 邱玉宝¹, 郑照军³, 除多⁴, 杨煜丹^{1 5}

1. 中国科学院遥感与数字地球研究所数字地球实验室, 北京 100094;
2.西安科技大学, 陕西西安 710054;
3. 中国气象局国家卫星中心, 北京 100081;
4. 西藏高原大气环境科学研究所, 西藏拉萨 850000;
5. 武汉大学, 湖北武汉 430079

收稿日期:2016-02-06 修回日期:2016-05-11 出版日期:2016-06-25 发布日期:2016-09-21
通讯作者: 邱玉宝,E-mail:qiuyb@radi.ac.cn. E-mail:qiuyb@radi.ac.cn
作者简介:张欢(1991-),女,河北沧州人,西安科技大学在读硕士研究生,现主要从事遥感应用研究.E-mail:zhanghuan_xc@163.com
基金资助:
国家自然科学基金项目（41371351）；国家自然科学基金重点项目（ABCC计划）（41120114001）；公益性（气象）行业专项“青藏高原遥感积雪气候数据集建设”（GYHY201206040）资助

Comparative study of the feasibility of cloud removal methods based on MODIS seasonal snow cover data over the Tibetan Plateau

ZHANG Huan^{1 2}, QIU Yubao¹, ZHENG Zhaojun³, CHU Duo⁴, YANG Yudan^{1 5}

1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
2. Xi'an University of Science and Technology, Xi'an 710054, China;
3. National Satellite Meteorological Center, Beijing 100081, China;
4. Tibetan Institute of Atmospheric Environment and Science, Lhasa 850000, China;
5. Wuhan University, Wuhan 430079, China

Received:2016-02-06 Revised:2016-05-11 Online:2016-06-25 Published:2016-09-21

摘要/Abstract

摘要： 青藏高原地处中纬度地区，季节性积雪分布破碎，地面观测站点稀少，中分辨率成像光谱仪（MODIS）可为该地区提供每日积雪监测数据，然而云是光学遥感最大的影响因素，为研究MODIS每日积雪产品去云方法在青藏高原的适用性，根据原理将去云方法归纳总结为五大类，并对每种方法的“潜在假设”开展分析讨论。结果显示：基于时间连续性的方法适用性强，去云效果明显，上下午积雪连续的平均概率为72.5%，而2~5d的连续积雪的概率为5.6%~43%不等，可靠性差；临近像元法可去除零散分布的云，平均正确率达到95.5%，但去除云量较少；基于高程的去云算法在山区适用性好，而在高原腹地由于坡度较小而错判概率较大；采用被动微波遥感数据进行去云则依赖于微波对云的识别率，往往误差较大；采用数学方法拟合积雪边界在积雪破碎、降雪融雪较快的青藏高原地区，物理意义较弱。通过分析研究表明，青藏高原地区MODIS日积雪产品的去云，需综合多种算法的区域适用性，充分考虑青藏高原地形及积雪本身的特征，逐步完善每日积雪去云工作。

关键词: 青藏高原, 积雪遥感, MODIS, 去云, 可行性比较研究

Abstract: The Tibetan Plateau is located in a mid-latitude area,where seasonal snow cover scatters spatially and climate stations is not enough. Moderate Resolution Imaging Spectrometer (MODIS)provides daily products of snow cover for this region. However,cloud cover is the major limitation to optical remote sensing observation. In order to analyze the applicability of the cloud removal methods,the methods are generalized into five categories according to their principles,and then comparative analysis is carried out to search their "hidden assumptions". The result demonstrates that methods based on time continuity is well applied and has obvious cloud removal effect. The consistency rate of Terra and Aqua is 72.5% on average. While the consistency of 2-days to 5- days ranges from 5.6% to 43%,of which the reliability is poor. The adjacent pixels method combination is able to remove a little cloud,with a high correct rate of 95.5%,but the removed cloud amount is only a little. The method based on altitude is well applied in high mountain areas,while it is not working well in plateau hinterland due to its small slopes. Passive microwave remote sensing data for cloud removal are dependent on the recognition rate of microwave on cloud,which brings about larger error. Other mathematical method is of weak physical significance in the Tibetan Plateau,where snowfall and snowmelt is frequently and snow cover is scattered. By comparing and analyzing the methods above,it is acquired that regional advantages and characteristics of the Tibetan Plateau should be considered into cloud removal,in order to gradually improve the MODIS daily snow cover product.

Key words: Tibetan Plateau, remote sensing of snow cover, MODIS, cloud removal, Feasibility comparative study

中图分类号:

P426.63+5

张欢, 邱玉宝, 郑照军, 除多, 杨煜丹. 基于MODIS的青藏高原季节性积雪去云方法可行性比较研究[J]. 冰川冻土, 2016, 38(3): 714-724.

ZHANG Huan, QIU Yubao, ZHENG Zhaojun, CHU Duo, YANG Yudan. Comparative study of the feasibility of cloud removal methods based on MODIS seasonal snow cover data over the Tibetan Plateau[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2016, 38(3): 714-724.

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基于MODIS的青藏高原季节性积雪去云方法可行性比较研究

Comparative study of the feasibility of cloud removal methods based on MODIS seasonal snow cover data over the Tibetan Plateau

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