• DocumentCode
    2266121
  • Title

    Hydro-geomorphologic models and remote sensing in drought-prone regions: the example of the Mulargia basin in Sardinia

  • Author

    Bianchi, F. ; Catani, F. ; Moretti, S. ; Dessena, M.A.

  • Author_Institution
    Dept. of Earth Sci., Firenze Univ., Italy
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2008
  • Abstract
    The Mulargia river basin is located in central Sardinia (Italy) and is characterized by the presence of geomorphologically active processes and human activities whose overall effect results in a environmental impact on superficial water quality, in the framework of a drought-prone region. On this subject, a large multidisciplinary project is in progress in which the elaboration of remotely sensed images constitutes an important part, allowing the seasonal land-use evolution to be understood. The presence and movement of organic materials may also be studied. These data have been combined with those derived from ground truth and ground survey campaigns concerning geology and geomorphology. Furthermore, rainfall simulations have been carried out in order to evaluate the principal parameters involved in the soil erosion processes. On these data an hydrologic model has been applied based on a DTM of the whole area, providing information on the spatial prevalence of the different erosion processes. Then, in order to reasonably assess the vegetation cover effect on landscape evolution, a set of classified data concerning the latter have been extracted from Landsat TM imagery and subsequently fed into the model. Results show a clear improvement in the model forecasting concerning soil erosion hazardous areas
  • Keywords
    erosion; geomorphology; geophysical techniques; hydrological techniques; hydrology; soil; terrain mapping; topography (Earth); vegetation mapping; DTM; Italy; Landsat TM imagery; Mediterranean; Mulargia basin; Mulargia river basin; Sardinia; drought-prone region; geology; geomorphology; hydrologic model; hydrology; land surface; landscape evolution; rain; rainfall; remote sensing; seasonal land-use; soil erosion; terrain mapping; topography; vegetation cover; Data mining; Geology; Humans; Organic materials; Predictive models; Remote sensing; Rivers; Satellites; Soil; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.858247
  • Filename
    858247