Clustering of landforms using self-organizing maps (SOM) in the west of Fars province

8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Mokarram, Marzieh^1 ; Sathyamoorthy, Dinesh^2

Department of Range and Watershed Management, College of Agriculture and Natural Resources of Darab, Shiraz University, Iran^1

Science and Technology Research Institute for Defence (STRIDE), Ministry of Defence, Malaysia^2

关键词: Different slopes;    Flat terrains;    High elevation;    Landform classification;    Morphometric parameters;    Qualitative data;    Study areas;    Topographic positions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/37/1/012009/pdf
DOI  :  10.1088/1755-1315/37/1/012009

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The aim of this study is to cluster landforms in the west of the Fars province, Iran using self-organizing maps (SOM). In SOM, according to qualitative data, the clustering tendencies of landforms were investigated using six morphometric parameters, which were slope, profile, plan, elevation, curvature and aspect. First, topographic position index (TPI) was used to prepare the landform classification map. The results of SOM showed that there were five classes for landform classification in the study area. Cluster 5 corresponds to high slope, high elevation but with different of concavity and convexity that consist of ridge landforms. Cluster 3 corresponds to flat areas, possibly plantation areas, in medium elevation and almost flat terrain. Clusters 1, 2 and 4 correspond to channels with different slope conditions.