Study on the Main Influencing Factors of Black Soil Spectral Characteristics
LIU Huan-jun1, YU Wan-tai1, ZHANG Xin-le2, MA Qiang1, ZHOU Hua1, JIANG Zi-shao1
1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China 2. College of Resources and Environmental Sciences, Northeast Agricultural University, Harbin 150030, China
Abstract:To develop soil properties quick measuring methods, promote the development of quantitatively remote sensing studies relating to terrestrial ecosystem, and deepen the application of remote sensing in agriculture, the hyperspectral reflectance of black soil in Songnen Plain, northeast China, was analyzed with spectral analysis methods (continuum removal, spectral angle match and spectral feature fitting) and statistic methods to discover the reflectance spectral characteristics and its influencing factors. The results are as follows: the soil parent material determines the basic characteristics of reflectance of the black soil, which is the mixture of montmorillonite and illite, and consistent with mineral analysis result. Organic matter is the main factor determining the curve shape of black soil reflectance in the region shorter than 1 000 nm, and indirectly influencing the reflectance in the region longer than 1 000 nm because of the correlation with soil moisture and mechanical composition. The varying process of soil reflectance with changing soil moisture can be quantitatively described with cubic equation, and moisture mainly changes the reflectance value but not the curve shape. Black soil reflectance is not influenced significantly by Fe, which is different from soils of south China. Roughness mainly impacts on the soil reflectance value but not the shape feature. The spectral feature of straw reflectance is remarkably different to that of black soil, and impacts on both the value and curve shape of black soil reflectance. Different soil tillage measurements result in different moisture holding ability and the amount of straw for different farm fields, and influence the reflectance further, with the order of soil reflectance from high to low is: no tillage, moldboard tillage, combination tillage, reduced tillage, and rotary tillage.
Key words:Spectral reflectance;Parent material;Organic matter;Soil moisture;Tillage practice
刘焕军1,2,宇万太1,张新乐2,马 强1,周 桦1,姜子绍1 . 黑土反射光谱特征影响因素分析[J]. 光谱学与光谱分析, 2009, 29(11): 3019-3022.
LIU Huan-jun1, YU Wan-tai1, ZHANG Xin-le2, MA Qiang1, ZHOU Hua1, JIANG Zi-shao1 . Study on the Main Influencing Factors of Black Soil Spectral Characteristics. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(11): 3019-3022.
[1] XU Bin-bin(徐彬彬). Soils(土壤), 2000, 32(6): 281. [2] Martin P D, Malley D F, Manning G, et al. Can. J. Soil Sci, 2002, 82: 413. [3] Fox G A, Sabbagh G J. Soil Sci. Soc. Am. J., 2002, 66: 1922. [4] Odlare M, Svensson K, Pell M. Geoderma, 2005, 126(3-4): 193. [5] ZHANG Ren-hua(张仁华). Experimental Remote Sensing Model and Ground Foundation(实验遥感模型及地面基础). Beijing: Science Press(北京:科学出版社), 1996. [6] LIU Huan-jun, ZHANG Bai, ZHAO Jun, et al(刘焕军, 张 柏, 赵 军, 等). Acta Pedologica Sinica(土壤学报), 2007, 44(1): 27. [7] LIU Huan-jun, ZHANG Bai, SONG Kai-shan, et al(刘焕军, 张 柏, 宋开山, 等). Journal of the Graduate School of the Chinese Academy of Sciences(中国科学院研究生院学报), 2008, 25(4): 506. [8] Kruse F A, Lefkoff A B, Boardman J W, et al. Remote Sensing of Environment, 1993, 44: 145. [9] FENG Jun, ZHANG Li-xin, YANG Zhi-chao, et al(冯 君, 张立新, 杨志超, 等). Global Geology(世界地质), 2006, 25(4): 380. [10] Clark R N, Swayze G A, Wise R, et al. USGS Digital Spectral Library Splib05a, U.S. Geological Survey, Open File Report, 2003, 3: 395. [11] HUANG Ying-feng, LIU Teng-hui(黄应丰, 刘腾辉). Chinese Journal of Soil Science(土壤通报), 1989, 20(4): 158, 176. [12] HE Ting, WANG Jing, CHENG Ye, et al(何 挺, 王 静, 程 烨, 等). Geography and Geo-Information Science(地理与地理信息科学), 2006, 3(2): 30. [13] LIU Huan-jun, ZHANG Bai, LIU Zhi-ming, et al(刘焕军, 张 柏, 刘志明, 等). Journal of the Graduate School of the Chinese Academy of Sciences(中国科学院研究生院学报), 2007, 24(4): 439. [14] LIU Huan-jun, ZHANG Bai, SONG Kai-shan, et al(刘焕军, 张 柏, 宋开山, 等). Journal of Remote Sensing (遥感学报), 2008, 12(1): 119. [15] Bannari A, Pacheco A, Staenz K, et al. Remote Sensing of Environment, 2006, 104(4): 447. [16] YU Tong-yan, ZHANG Xing-yi, ZHANG Shao-liang, et al(于同艳, 张兴义, 张少良, 等). Bulletin of Soil and Water Conservation(水土保持通报), 2007, 27(5): 71.