Fuzzy inference of spatial gradation of slope positions
Received date: 2006-12-26
Revised date: 2007-05-22
Online published: 2007-11-25
Supported by
国家自然科学基金资助项目(40501056);中国科学院地理科学与资源研究所三期创新项目"典型地貌形态特征提取研究";中国科学院"百人计划"项目;中国科学院创新团队国际合作伙伴计划"人类活动与生态系统变化"(CXTD-Z2005-1)
An important characteristic of slope positions (e.g. backslope, footslope) is that the transition between them is gradual. And the quantification of gradual transition of slope positions is very useful in many terrain-related geographical or ecological modelling (such as soil erosion on slope, soil surveying and mapping), especially on fine scale. Among current approaches of fuzzy slope position which are based on the gridded DEMs, fuzzy k-means approaches often focus on the parameter space and ignore the spatial information. Moreover, this type of approach can not extract some slope positions when they just exist with a very small proportion of application area. And the rule-based approach requires intensive operations and has a high demand for user knowledge of local landform. So the practicability is limited. This paper proposed a similarity-based approach to quantitative fuzzy representation of spatial gradation of slope positions. This approach includes two steps: the first is to extract the typical locations of each slope position. Then based on both local topographic attributes and regional terrain index, the similarity between other locations and typical locations is computed. This approach is carried out in both attribute domain (i.e. parameter space) and spatial domain. Both local topographic information and terrain context are taken into account. Application shows that results of proposed approach can quantitatively describe the spatial gradation of slope positions (such as ridge, slope shoulder, back slope, footslope, and valley). The analysis combining with spatial gradual transition of sand percentages in the A horizon of soil samples also indicates the reasonability of the results of the proposed approach.
Key words： slope position; spatial gradation; similarity; fuzzy inference; gridded DEM
QIN Cheng-zhi, ZHU A-xing, SHI Xun, LI Bao-lin, PEI Tao, ZHOU Cheng-hu . Fuzzy inference of spatial gradation of slope positions[J]. GEOGRAPHICAL RESEARCH, 2007 , 26(6) : 1165 -1175 . DOI: 10.11821/yj2007060011
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