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遥感技术与应用  2013, Vol. 28 Issue (6): 1094-1100    
遥感应用     
基于Google Earth的毛乌素沙地新月形沙丘移动规律研究
王静璞,刘连友,沈玲玲
(北京师范大学减灾与应急管理研究院 环境演变与自然灾害教育部重点实验室,北京 100875)
Research of the Barchan Dunes Movement in the Mu Us Sandy Land on Google Earth Software
Wang Jingpu,Liu Lianyou,Shen Lingling
(Key laboratory of environmental change and natural disaster,Academy of Disaster Reduction
and Emergency Management,Beijing Normal University,Beijing 100875,China)
 全文: PDF(1175 KB)  
摘要:

以Google Earth平台分辨率为0.61 m的QuickBird高分辨率遥感影像为基础,选择毛乌素沙地22座典型新月形沙丘,提取2个不同时期的沙丘形态参数数值。沙丘形态参数分析表明:沙丘宽度与背风坡水平长度之间显著相关。沙丘在移动过程中,宽度减小,迎风坡水平长度增加,背风坡水平长度减小;沙丘移动速度与沙丘宽度间具有良好的相关性,移动速度为3.5~9.5 m/a。沙丘前移过程中,沙丘形态既有正向演变又有逆向演变,说明沙丘移动的复杂性。

关键词: 毛乌素沙地Google Earth沙丘形态参数沙丘移动    
Abstract:

Based on QuickBird high resolution image,which resolution is 0.61 m in Google Earth Software,this paper selected 22 typical crescent dunes in Mu Us Sandy Land,extracted their morphology parameter values in two different periods.Analyzing the change of the dune morphology parameters show that,in this region,the correlation between width and slip face horizontal length is significant.Crescent dunes in the process of moving,width decreases,windward slope horizontal length increases,and slip face horizontal length decreases;Dune movement speed and width have a good correlation,the annual movement speeds are between 3.5 and 9.5m/a.In the course of sand dune movement,some small dunes merged into bigger ones,while some typical barchan dunes degenerated into sand sheets,which illustrates the complexity of dunes movement.

Key words: Mu Us sandy land    Google Earth    Dune morphological parameters    Dune movement
收稿日期: 2013-01-22 出版日期: 2014-02-28
:  TP 79  
基金资助:

国家自然科学基金项目“新月形沙丘表面气流与风沙流结构变异”(41271020)。

通讯作者: 刘连友(1962-),男,河北保定人,教授,主要从事沙漠化过程与防治方面的研究。Email:lyliu@bnu.edu.cn.   
作者简介: 王静璞(1987-),女,陕西杨凌人,博士研究生,主要从事沙漠化过程与防治方面的研究。Email:wjpu@mail.bnu.edu.cn。
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引用本文:

王静璞,刘连友,沈玲玲. 基于Google Earth的毛乌素沙地新月形沙丘移动规律研究[J]. 遥感技术与应用, 2013, 28(6): 1094-1100.

Wang Jingpu,Liu Lianyou,Shen Lingling. Research of the Barchan Dunes Movement in the Mu Us Sandy Land on Google Earth Software. Remote Sensing Technology and Application, 2013, 28(6): 1094-1100.

链接本文:

http://www.rsta.ac.cn/CN/        http://www.rsta.ac.cn/CN/Y2013/V28/I6/1094

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