• Title of article

    Variations in Reflectance of Tropical Soils: Spectral-Chemical Composition Relationships from AVIRIS data

  • Author/Authors

    Galvمo، نويسنده , , Lênio Soares and Pizarro، نويسنده , , Marco Antônio and Epiphanio، نويسنده , , José Carlos Neves، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2001
  • Pages
    11
  • From page
    245
  • To page
    255
  • Abstract
    The relationships between Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) surface reflectance values and constituents (total iron, organic matter, TiO2, Al2O3, and SiO2) of samples representative of three important soil types from central Brazil [Terra Roxa Estruturada (STE), Latossolo Vermelho-Escuro (SLE), and Areia Quartzosa (SAQ)] were analyzed. End member spectra for green vegetation (GV), nonphotosynthetic vegetation (NPV), water (W), and the three soil types were selected by inspecting scatter plots derived from the principal components analysis (PCA) of 140 AVIRIS bands. They were then used to compose a six end member unmixing model to characterize the spectral reflectance variations associated with the different scene components, the spatial distribution of the soil types, and the effects of spectral mixing on the spectral-chemical composition relationships. Finally, regression equations fitted to soil constituents and their highly correlated spectral bands were used to produce maps showing the chemical variability in the scene for areas dominated by the presence of exposed soils, as indicated by the results from the unmixing model. The results showed a very good agreement between the spatial variability of the soil types and of the soil constituents. The largest squared correlation results were obtained for Fe2O3, TiO2, and Al2O3, but the relationships were affected in the transition from the red to the near-infrared interval by the presence of nonsoil residues (e.g., senescent vegetation or litter) over the soil surfaces. In comparison with the light and loamy sand SAQ, the dark-red clay STE and SLE presented higher contents of Fe2O3, Al2O3, and TiO2, and consequently lower overall reflectance in the scene, because of the presence of greater amounts of opaque minerals. The prediction of these constituents from remote sensing data and their close association with the spatial distribution of the different soil types demonstrate the importance of the present investigation for soil mapping and soil erosion studies. ghts Reserved.
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2001
  • Journal title
    Remote Sensing of Environment
  • Record number

    1573501