文献类型： 外文期刊
作者： Zhao, J. L. 1 ; Huang, W. J. 1 ; Zhang, D. Y. 1 ; Huang, L. S. 1 ; Luo, J. H. 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
关键词： Field-scale cropland;Landsat TM;Shunyi District;Soil nutrient levels;Spatial interpolation
期刊名称：2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING
ISSN： 1877-7058
年卷期： 2012 年 29 卷
页码：
收录情况： SCI
摘要： The objective of this study is to estimate the field-scale soil nutrient levels (SNLs) of Shunyi District's croplands using 3S technologies. Based on the soil samples with GPS coordinates, a Landsat TM image was firstly utilized to identify cropland fields of the study area using support vector machine (SVM) classification module integrated with ENVI, and the overall classification accuracy reaches 87.68% and Kappa coefficient is 0.7996. Subsequently, according to the proposed classification criteria of SNLs by Beijing Soil and Fertilizer Work Station, four edaphic indicators including organic matter (OM), total nitrogen (TN), available phosphorus (AP) and available potassium (AK) were selected to estimate the filed-scale SNLs of Shunyi District. The result shows that four levels including very high, high, moderate and low are found except the very low level and they account for 0.4%, 42.3%, 53.3% and 4.0%, respectively. Furthermore, considering the spatial distribution of SNLs, it is better in the west, north and east than in the middle and south, while it is the worst in the middle.
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