CAJ | 학술논문

传统地貌类型划分多是基于单一或固定的地形因子进行分析,存在一定的片面性和主观性.采用30m分辨率的SRTM DEM,利用ArcGIS 10.1软件平台,采用均值变点分析法,确定了南阳市地势起伏度的最佳统计单元面积27×27(0.6561 km2),选取海拔高度、地势起伏度、坡度变率、地表粗糙度、高程变异系数、地表累计曲率6个地形因子,运用Iso 聚类工具和最大似然法分类工具进行聚类分析,通过合并零星图斑,完成了南阳市5种地貌类型的自动划分.
전통지모류형화분다시기우단일혹고정적지형인자진행분석,존재일정적편면성화주관성.채용30m분변솔적SRTM DEM,이용ArcGIS 10.1연건평태,채용균치변점분석법,학정료남양시지세기복도적최가통계단원면적27×27(0.6561 km2),선취해발고도、지세기복도、파도변솔、지표조조도、고정변이계수、지표루계곡솔6개지형인자,운용Iso 취류공구화최대사연법분류공구진행취류분석,통과합병령성도반,완성료남양시5충지모류형적자동화분.
The traditional division methods of landform types are mostly based on a single or some fixed terrain factors, which are one-sided and subjective. This paper proposes a new automatic division method that adopts 6 terrain factors, altitude, relief amplitude, rate of slope change, surface roughness, coefficient of elevation varia-tion and cumulative surface curvature. The initial data is SRTM DEM in 30m resolution, then a mean value change-point algorithm is applied to get the optimum statistical unit to calculate relief amplitude of Nanyang city, which is 27 × 27 cells, about 0. 6561 km2 . After this, cluster analysis is performed by Iso cluster tool and maxi-mum likelihood classification tool in ArcGIS 10 . 1 , also isolated patches in cluster outcome data is merged to gen-erate the final 5 landform types.