肖丽琼, 周汝良, 陈永刚, 蔡志勇, 黄彦. 新地貌指标及山地地貌自动区划方法研究[J]. 云南大学学报(自然科学版), 2022, 44(2): 306-316. doi: 10.7540/j.ynu.20210337
引用本文: 肖丽琼, 周汝良, 陈永刚, 蔡志勇, 黄彦. 新地貌指标及山地地貌自动区划方法研究[J]. 云南大学学报(自然科学版), 2022, 44(2): 306-316. doi: 10.7540/j.ynu.20210337
XIAO Li-qiong, ZHOU Ru-liang, CHEN Yong-gang, CAI Zhi-yong, HUANG Yan. Study on new geomorphic index and automatic regionalization method of mountain geomorphology[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(2): 306-316. DOI: 10.7540/j.ynu.20210337
Citation: XIAO Li-qiong, ZHOU Ru-liang, CHEN Yong-gang, CAI Zhi-yong, HUANG Yan. Study on new geomorphic index and automatic regionalization method of mountain geomorphology[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(2): 306-316. DOI: 10.7540/j.ynu.20210337

新地貌指标及山地地貌自动区划方法研究

Study on new geomorphic index and automatic regionalization method of mountain geomorphology

  • 摘要: 地理栅格统计分类及聚类分析难以实现山地地貌的自动区划制图,实践中一般使用半定量或手工综合的方法绘制地貌图,而山地地貌区划研究的关键是地貌空间特征指标的构造及空间栅格的综合归并. 基于此,提出了地形隆起高度与切割深度、皱褶多度、地表破碎度等新地貌特征指标,并以传统统计ISO聚类结果为基础,构造了一种基于空间“核颗粒”和“纹理指标”的二次聚合方法. 研究表明:①新提出的地貌指标能以具体数值表达山体向上隆起以及向下切割的程度,度量水平和垂直方向上的破碎度;②山地地貌是多种聚类分析及空间纹理再聚合的结果,利用“核颗粒”和“纹理指标”可划分出符合认知体系的地貌类型,并将中国陆地全境划分为一级6类、二级33类的地貌区,与以往的制图结果具有一致性. 二次聚合划分地貌类型的方法,实现了地貌的计算机自动区划及制图,适用于具有纹理特征的地学类别的空间划分研究.

     

    Abstract: It is difficult to realize the automatic mapping of mountain geomorphology by geographic grid statistical classification or clustering analysis. In practice, semi-quantitative or manual synthesis methods are generally used to draw geomorphic maps, and the key of mountain geomorphology research is the construction of geomorphic spatial characteristic variables and the integration of spatial grid synthesis, based on which are proposed new geomorphic feature indexes such as uplift height and cutting depth, fold abundance and terrain fragmentation. Meanwhile, based on the traditional statistical ISO clustering results, a secondary aggregation method is constructed by using spatial "core particle" and "texture index". The research shows that: ① the newly proposed geomorphic index can express the degree of upward uplift and downward cutting of mountains with specific values, and measure the degree of fragmentation in horizontal and vertical directions; ② mountain geomorphology is the result of multiple cluster analyses and spatial texture re-aggregation. The geomorphic types in line with the cognitive system can be classified by using nuclear particles and texture. The whole land of China is classified into 6 major regions, 33 sub-major regions, which is consistent with the previous mapping results. The method of twice aggregation classification of geomorphic types realizes the computer automatic classification and mapping of geomorphology, which is suitable for the spatial classification of geoscience categories with texture characteristics.

     

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