| 摘要: |
| 以建瓯市为研究区域，基于遥感影像提取建瓯市竹林分布信息并形成研究底图，在此基础上
以乡 ( 镇 ) 为单位，进行竹林土壤采样，通过半方差分析和空间插值来揭示研究区竹林土壤有机质的空间
变异特征。最佳指数法的计算结果表明， 356 波段为竹林提取的最佳组合方式。在此基础上采用最大似然
法得到的竹林解译的 Kappa 系数为 89.4%，精度较高。竹林土壤有机质的均值为 39.5 g/kg，在西南部和
东北部较高，中部较低。土壤有机质受到结构性和随机因素的共同影响，即自然条件和人为因素的综合
影响，因此竹林的管理和规划要更注重人为因素的影响。 |
| 关键词: 建瓯市 竹林土壤 遥感解译 地统计学 空间分析 |
| DOI： |
| 投稿时间：2020-06-12修订日期：2020-08-17 |
| 基金项目:国家重点研发项目（ 2016YFE0112700） |
|
| A Study of Bamboo Distribution and Soil Organic Matter Spatial Variation of Jian""ou City |
| Wang Xin,Dai Qianqian,Xu Mengjie,Zhuang Shunyao |
| (Institute of Soil Science，Chinese Academy of Sciences;College of Public Administration, Nanjing Agricultural University) |
| Abstract: |
| The bamboo distribution information of Jian""ou city was extracted from remote images, and
taken as the base map in our study. Soil sampling was conducted in the bamboo area. The spatial variations of soil
organic matter (SOM) of bamboo forest were discussed using the method of semi-variance analysis and spatial
interpolation. The results of optimum index factor (OIF) index revealed that the band 356 was the optimum model
to extract the bamboo distribution information. Then the method of maximum likelihood estimate was applied
for interpretation and the Kappa coefficient was 89.4%. With an average value of 39.5 g/kg, the content of SOM
was higher in the southwest and northeast, and lower in the central region. The spatial distribution of SOM was
influenced by the structural and random factors together. Accordingly, the human factors should be noted in the
management and planning of bamboo forest. |
| Key words: Jian’ou City bamboo soil remote image interpretation geostatistics spatial analysis |
