Regional terrain complexity evaluation based on GIS and K-means clustering model: a case study of Ningdu County, China

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Kang, Wenjing^1 ; Huang, Faming^1 ; Du, Yaoxian^1 ; Liu, Dalin^1 ; Cao, Zhongshan^1

School of Civil Engineering and Architecture, Nanchang University, Nanchang, China^1

关键词: Digital elevation model;    Distribution characteristics;    Jiangxi Province;    Land Use Planning;    Surface cutting;    Terrain complexity;    Topographic complexity;    Variation coefficient;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/2/022025/pdf
DOI  :  10.1088/1755-1315/300/2/022025

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In order to accurately quantify the terrain complexity, a simple and accurate terrain complexity assessment (TCA) model is proposed. Taking Ningdu county in Jiangxi Province of China as an example, firstly, six terrain factors (named slope, topographic relief degree, surface cutting depth, surface roughness, elevation variation coefficient and topographic factors) of Ningdu county are extracted based on the Digital Elevation Model (DEM) with 30 m resolution and ARCGIS 10.2 software. Secondly, terrain complexity indexes of Ningdu County are obtained using k-means clustering. Results show that a current and effective spatial distribution characteristic of topographic complexity in Ningdu county is produced, and the very low and low terrain complexity indexes account for 33.28%, 28.35% respectively. The terrain complexity can be evaluated effectively by k-means clustering model. The terrain complexity can be provided for environmental protection and land use planning.