Spectral features of soil organic matter
Tóm tắt
The study on soil spectral reflectance features is the physical basis for soil remote sensing. Soil organic matter content influences the soil spectral reflectance dramatically. This paper studied the spectral curves between 400 nm∼2500 nm of 174 soil samples which were collected in Hengshan county and Yixing county. Fourteen types of transformations were applied to the soil reflectance R to remove the noise and to linearize the correlation between reflectance (independent variable) and soil organic matter (SOM) content (dependent variable). Then, the methods such as derivative spectrum technology and stepwise regression analysis, were applied to study the relationship between these soil spectral features and soil organic matter content. It shows that order 1 derivative of the logarithm of reflectance (O1DLA) is the most sensitive to SOM among the various transform types of reflectance in consideration. The regression model whose coefficient of determination reaches 0.885 is built. It predicted the soil organic matter content with higher effect.
Tài liệu tham khảo
Bower S A, Hanks R J (1965) Reflectance of radiant energy from soils [J]. Soil Sci. Soc. Am. J., 100: 130–138
Al-Abbas A H, Swain P H, Baumgardner M F(1972) Relating organic matter and clay content to the multispectral radiance [J]. Soil Sci., 114: 477–485
Krishnan P, Alexander J D, Butler B J, et al. (1980) Reflectance technique for predicting soil organic matter [J]. Soil Sci. Soc. Am. J., 44: 1 282–1 285
Stoner E R, Baumgardner M F (1981) Characteristic variations in reflectance from surface soils [J]. Soil Sci. Soc. Am. J., 45:1 161–1 165
Swain P H, Davis S M (1978) Remote sensing: the quantitative approach [M]. New York: McGraw-Hill
Xu Binbin, Ji Gengshan (1987) Correlation analysis between soil reflectance and soil physical-chemical properties [J]. Soil Bulletin, 41: 66–76
Galvao L S, Vitorello I (1998) Role of organic matter in obliterating the effects of iron on spectral reflectance and color of Brazilian tropical soils [J]. Int. J. Rem. Sens, 19: 1 969–1 979
Palacios-Orueta A, Pinzon P E, Ustin S L, et al. (1998) Remote sensing of soil properties in the Santa Monica mountains II. Hierarchical foreground and background analysis [J]. Remote Sens. Environ, 68: 138–151
Karnieli A, Verchovsky I, Hall J K, Oren E (1998) Geographic information system for semi-detailed mapping of soils in semi-arid region [J]. Geocarto International, 13(3): 29–43
Hatchell D C (1999) ASD technical guide (3rd Ed.) [M]. Colorado: Analytical Spectral Devices, Inc.
Palacios-Orueta A, Ustin S L(1996) Multivariate classification of soil spectra [J]. Remote Sens. Environ, 57: 108–118
Price J C (1998) An approach for analysis of reflectance spectra [J]. Remote Sens. Environ, 64: 316–330
Cloutis E A (1996) Hyperspectral geological remote sensing: evaluation of analytical techniques [J]. Int. J. Remote Sensing, 17(12): 2 215–2 242
Xu Binbin, Ji Gengshan (1987) The major achievements of study on soil remote sensing in Nanjing and Wuhu Cities [J]. Soil Bulletin, 41: 5–8