Liu Huan-Jun, Yu Wan-Tai, Zhang Xin-Le, Ma Qiang, Zhou Hua, Jiang Zi-Shao
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Nov;29(11):3019-22.
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.
为了开发土壤属性快速测量方法,促进与陆地生态系统相关的定量遥感研究发展,并深化遥感在农业中的应用,运用光谱分析方法(连续统去除、光谱角匹配和光谱特征拟合)和统计方法,对中国东北松嫩平原黑土的高光谱反射率进行了分析,以发现其反射光谱特征及其影响因素。结果如下:土壤母质决定了黑土反射率的基本特征,黑土是蒙脱石和伊利石的混合物,这与矿物分析结果一致。有机质是决定该地区1000nm以下波段黑土反射率曲线形状的主要因素,并且由于与土壤水分和机械组成的相关性,间接影响1000nm以上波段的反射率。土壤反射率随土壤水分变化的过程可用三次方程定量描述,水分主要改变反射率值而非曲线形状。黑土反射率受铁的影响不显著,这与中国南方的土壤不同。粗糙度主要影响土壤反射率值而非形状特征。秸秆反射率的光谱特征与黑土显著不同,对黑土反射率的值和曲线形状均有影响。不同的土壤耕作措施导致不同农田的持水能力和秸秆量不同,进而进一步影响反射率,土壤反射率从高到低的顺序为:免耕、铧式犁耕作、联合耕作、少耕和旋耕。