• DocumentCode
    2900519
  • Title

    Soil erosion modeling using “USLE”: two approaches for evaluating the parameters “L” and “S”

  • Author

    Formaggio, Antonio Roberto ; Gameiro, Marcelo Gonçalves ; Epiphanio, José Carlos Neves

  • Author_Institution
    Nat. Inst. for Space Res., Sao Jose dos Campos, Brazil
  • Volume
    2
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    856
  • Abstract
    Agricultural activities can accelerate significantly the soil natural erosion processes. Thus, for a sustainable environment, the modeling of soil erosion losses is a fundamental step towards the rationalization optimization of the agricultural land use. In this research, the model “universal soil loss equation” (USLE) was used; test site was a watershed in a region of highly intensive agriculture in Sao Paulo State (Brazil); and GIS/remote sensing techniques were employed for spatializing the soil erosion losses by water. The main objective was to test different approaches of modeling the USLE topographic parameters: “Z” and “S”. For the “S” parameter there wasn´t a statistical difference, but for “L” the approaches of modeling cause significant differences in the final spatialized results, showing the need to improve the methods of modeling the most USLE impacting parameters
  • Keywords
    erosion; hydrological techniques; remote sensing; soil; Brazil; GIS; L parameter; S parameter; Sao Paulo State; USLE topographic parameters; agricultural activities; agricultural land use; natural erosion; remote sensing; soil erosion modeling; universal soil loss equation; watershed; Acceleration; Agriculture; Equations; Geographic Information Systems; Length measurement; Mathematical model; Remote sensing; Roads; Soil; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.699606
  • Filename
    699606