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Spectral Features of Soil Organic Matter

He, Ting ; Wang, Jing ; Lin, Zongjian ; Cheng, Ye

Geo-spatial information science, 2009-01, Vol.12 (1), p.33-40 [Periódico revisado por pares]

Heidelberg: Taylor & Francis Group

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  • Título:
    Spectral Features of Soil Organic Matter
  • Autor: He, Ting ; Wang, Jing ; Lin, Zongjian ; Cheng, Ye
  • Assuntos: Earth and Environmental Science ; Geographical Information Systems/Cartography ; Geography ; P237.4 ; P237.9 ; P272 ; soil organic matter (SOM) ; spectral features ; stepwise regression analysis ; 光谱特征 ; 有机质
  • É parte de: Geo-spatial information science, 2009-01, Vol.12 (1), p.33-40
  • Notas: P237.4
    42-1610/P
    soil organic matter （SOM）; spectral features; stepwise regression analysis
    spectral features
    soil organic matter （SOM）
    P237.9
    stepwise regression analysis
  • Descrição: 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 vari- able） 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 （01DLA） 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.
  • Editor: Heidelberg: Taylor & Francis Group
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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