Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land

被引:181
作者
Li Yan
Shi Zhou [2 ]
Li Feng
Li Hong-Yi
机构
[1] Zhejiang Univ, Coll SE Land Management, Inst Land Sci & Property Management, Hangzhou 310029, Peoples R China
[2] Zhejiang Univ, Coll Environm & Resource Sci, Inst Agr Remote Sensing & Informat Technol Applic, Hangzhou 310029, Peoples R China
[3] Zhejiang Univ, Dept Environm Engn, Hangzhou 310029, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
management zones; fuzzy clustering; soil electrical conductivity (EC); spatial variability; saline land; precision agriculture;
D O I
10.1016/j.compag.2007.01.013
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Recent research in precision agriculture has focused on use of management zones as a method for variable application of inputs. In this paper, five soil and landscape attributes, including a NDVI image, soil electrical conductivity, total nitrogen, organic matter and cation exchange capacity acquired for a coastal saline land were selected as data sources, and their spatial variability were analyzed and spatial distribution maps constructed with geostatistics technique. Principal component analysis and fuzzy c-means clustering algorithm were then performed to delineate the management zones, fuzzy performance index (FPI) and normalized classification entropy (NCE) was used to determine the optimal cluster number. To assess whether the defined three management zones can be used to characterize spatial variability of soil chemical properties and crop productivity, 139 georeferenced soil and yield sampling points across each management zone was examined by using variance analysis. It was found that the optimal number of management zones for the study area was three and there existed significantly statistical differences between the chemical properties of soil samples and yield data in each defined management zone, management zone 3 presented highest nutrient level and potential crop productivity, whereas management zone 1 lowest. The results revealed that the given five variables could be aggregated into management zones that characterize spatial variability in soil chemical properties and crop productivity. The defined management zones not only can direct soil sampling design, but also provide valuable information for site-specific management in precision agriculture. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:174 / 186
页数:13
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