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基于SRTM-DEM和TM的流动沙丘提取方法研究
其他题名Extraction of shifting dune from SRTM-DEM and TM imagery
柴慧霞1; 刘海江2; 周成虎2; 陈曦1; 程维明3; 王睿博2
ISSN1003-7578
出版年2009
卷号23期号:9页码:184-189
中文摘要以塔克拉玛干沙漠的流动沙丘地貌为例,进行数字地貌形态提取方法研究.首先,利用高精度Srtm-DEM数据派生出坡度和起伏度两个地形因子数据,并参考坡度和起伏度的分类指标,实现沙地和沙丘边界线的自动提取,将风成地貌按照形态特征区分出沙地和沙丘两种地貌类型.其次,利用数学分析方法,根据斑块指数值的大小初步确定复合流动沙丘的类型.最后,基于高空间分辨率的遥感影像的色调、纹理、结构等特征,建立典型流动沙丘地貌特征的遥感影像特征图谱,依据遥感图谱进一步确定复合流动沙丘的类型,实现典型复合流动沙丘地貌形态和成因特征的计算机智能化提取方法.研究结果表明:该方法目前可以实现流动沙丘中的复合型链垄状沙丘、复合型沙垄、穹状沙丘和蜂窝状沙丘的智能化提取.
英文摘要A method was designed for the extraction of special aeolian landform ( include chain and longitudinal dune, longitudinal dune, dome shaped dune) from the 90m resolution of Srtm - DEM and TM imagery. The method was demonstrated for part of Takelamagan Desert in Xinjiang. Firstly, the relief value was calculated in spatial analyst. Through testing, the 60m relief was regarded as the critical relief value for the sand dune and sand land. The result of relief was reclassified by the critical relief value. As the result, the sand dune was divided from sand land. Secondly, the slop value was also calculated and reclassified. It was concluded that three degree was the critical slope value for the different aeolian landform types. The shifting and compound chain dune was divided from other aeolian landform types by this step. Thirdly, the relief data and the slope data were overlaid and the borderline was smoothed. Fourthly, mathematical analysis methods were used. According to value of patch shape indices, different geomorphologic types were distinguished. Finally, color, texture, structure, and other characteristics of remote sensing images were used to establish extraction signs. And then, based on Remote Sensing Image (Landsat TM ), the characteristic atlas of typical mobile desert was compiled. At the end, the method of auto - extraction of the special aeolian landform based on Srtm - DEM and TM imagery was realized. The study showed that this method could automatic extract the borderline of the shifting and compound chain dune exactly, especially the boundary between the shifting and compound chain dune and the low undulated sand land. Furthermore, this method could also intelligent extract the special types of aeolian landform.
中文关键词流动沙丘 ; 形态特征 ; 斑块指数 ; 遥感图谱 ; 智能化提取
英文关键词shifting dune morphological character patch shape indices atlas of remote sensing auto - extraction
语种中文
国家中国
收录类别CSCD
WOS类目GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向Geology
CSCD记录号CSCD:3787487
来源机构中国科学院新疆生态与地理研究所 ; 中国科学院地理科学与资源研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/223709
作者单位1.中国科学院,新疆生态与地理研究所, 乌鲁木齐, 新疆 830011, 中国;
2.中国科学院,地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京 100101, 中国;
3.中国科学院,研究生院, 北京 100039, 中国
推荐引用方式
GB/T 7714
柴慧霞,刘海江,周成虎,等. 基于SRTM-DEM和TM的流动沙丘提取方法研究[J]. 中国科学院新疆生态与地理研究所, 中国科学院地理科学与资源研究所,2009,23(9):184-189.
APA 柴慧霞,刘海江,周成虎,陈曦,程维明,&王睿博.(2009).基于SRTM-DEM和TM的流动沙丘提取方法研究.,23(9),184-189.
MLA 柴慧霞,et al."基于SRTM-DEM和TM的流动沙丘提取方法研究".23.9(2009):184-189.
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