• DocumentCode
    315062
  • Title

    Modelling of human dimension on soil erosion processes for remote sensing applications

  • Author

    Gaillard, C. ; Zagolski, F. ; Bonn, F.

  • Author_Institution
    Centre d´´Applications et de Recherches en Teledetection, Sherbrooke Univ., Que., Canada
  • Volume
    1
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    122
  • Abstract
    Spatial modelling of hydrological and erosion processes at watershed scale is subject to an increasing development simultaneously with the expanded use of remote sensing and geographical information systems (GIS). Nevertheless, the raster structure of available spatial erosion models does not take into account some human landscape dimensions. Linear and directional features are commonly neglected in water and sediment transport modelling. This paper presents an attempt for integrating influences of spatial pattern discontinuities and directivity effects due to tillage and row of plants on the distribution of flows in agricultural watersheds. Introduction of these improvements in the ANSWERS (Areal Nonpoint Source Watershed Environment Response Simulation) model are in process
  • Keywords
    agriculture; erosion; geographic information systems; geology; geomorphology; geophysics computing; remote sensing; soil; ANSWERS; Areal Nonpoint Source Watershed Environment Response Simulation; GIS; agricultural watershed; agriculture; directional feature; directivity effects; disturbance; disturbed terrain; erosion; farmland; geographical information system; geology; geomorphology; geophysics computing; human factor; human landscape; hydrology; land surface; linear feature; model; raster structure; remote sensing applications; sediment transport; soil; spatial modelling; spatial pattern discontinuities; tillage; watershed scale; Computational modeling; Grid computing; Humans; Information systems; Plants (biology); Remote sensing; Sediments; Soil; Spatial resolution; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.615816
  • Filename
    615816