Study on Three-Dimension Spatial Variability of Regional Soil Salinity Based on Spectral Indices
LIU Guang-ming1, WU Ya-kun2, YANG Jin-song1*, YU Shi-peng1
1. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China 2. Anhui University of Technology, Maanshan 243002, China
Abstract：In order to illustrate the three-dimension spatial variability of soil salinity in central China flood area of the Yellow river, integrated soil sampling data and remote sensing data, spectral indices and inverse distance weighting (IDW) method were applied to the estimation and simulation of three-dimension spatial distribution of soil salinity. The study was carried out in typical central China flood area of the Yellow river in Fengqiu County, Henan Province, China. The electrical conductivity of the saturation extract (EC1∶5) of 505 soil samples collected at 101 points was measured. The results indicated that the coefficient of variation of soil salinity at each soil 1ayer is from 0.218 to 0.324 and exhibited the moderate spatial variability. The average of soil electrical conductivity is from 0.121 to 0.154 ds·m-1. The 2 820 three-dimension spatial scattered data for soil electrical conductivity were taken at soil salinity mapping interpreted by spectral indices and soil electrical conductivity. Three-dimension IDW interpolation showed that a large area of high soil salinity mainly located in the region of Tianran canal and the along of the Yellow river. The shape of the soil salinity profile was downward flowed, revealing soil salinity increasing with depth in whole soil profile and soil salinity accumulated in the subsoil. The accuracy of the predictions was tested using 20 soil sampled points. The root mean square error (RMSE) of calibration for three-dimension distribution of soil salinity showed that the IDW method based on spectral indices was ideal. The research results can provide theoretical foundations to the management and utilization of salt-affected land in China flood area, especially in the Yellow river zone.
刘广明1，吴亚坤2，杨劲松1*，余世鹏1 . 基于光谱指数的区域土壤盐分三维空间变异研究 [J]. 光谱学与光谱分析, 2013, 33(10): 2758-2761.
LIU Guang-ming1, WU Ya-kun2, YANG Jin-song1*, YU Shi-peng1 . Study on Three-Dimension Spatial Variability of Regional Soil Salinity Based on Spectral Indices . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(10): 2758-2761.
[1] Amezketa E. Journal of Arid Environments, 2006, 67: 594. [2] LI Hong-yi, SHI Zhou, TANG Hui-li(李洪义, 史 舟, 唐惠丽). Acta Pedologiaca Sinica(土壤学报), 2010, 2(47): 359. [3] Visconti F, De Paz J M, Rubio J L, et al. Soil Use and Management, 2011, 27(4): 523. [4] YAO Rong-jiang, YANG Jin-song, ZhAO Xiu-fang, et al(姚荣江, 杨劲松, 赵秀芳, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2010, 26(11): 91. [5] Goovaerts P. Geoderma, 1999, 89: 1. [6] Yiran G A B, Kusimi J M, Kufogbe S K. International Journal of Applied Earth Observation and Geoinformation, 2012, 14(1): 204. [7] Mashimbye Z E, Cho M A, Nell J P, et al. Pedosphere, 2012, 22(5): 640. [8] Judkins Gabriel, Myint Soe. Environmental Management, 2012, 50(3): 478. [9] Goldshleger Naftaly, Livne Ido, Chudnovsky Alexandra, et al. Soil Science, 2012, 177(6): 392. [10] Bouaziz Moncef, Matschullat Joerg, Gloaguen Richard. Comptes Rendusn Geoscience, 2011, 343(11): 795. [11] LU Ru-kun(鲁如坤). Analysis Methods of Soil Agricultural Chemistry(土壤农业化学分析方法). Beijing: Chinese Agricultural Science and Technology Press(北京: 中国农业科技出版社), 1999. [12] Abd El Kader Douaoui, Hervé Nicolas, Christian Walter. Geoderma, 2006, 134: 217. [13] Van Meirvenne M, Maes K, Hofman G. Biology and Fertility of Soils, 2003, 37(3): 147. [14] YAO Rong-jiang, YANG Jin-song(姚荣江, 杨劲松). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2008, 24(3): 107.
