• DocumentCode
    513513
  • Title

    Lake Victoria aquatic weeds monitoring by high spatial and spectral resolution satellite imagery

  • Author

    Cavalli, Rosa Maria ; Fusilli, Lorenzo ; Laneve, Giovanni ; Pascucci, Simone ; Palombo, Angelo ; Pignatti, Stefano ; Santini, Federico

  • Author_Institution
    Inst. of Atmos. Pollution (CNR IIA-LARA), Nat. Res. Council, Rome, Italy
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Aquatic weeds in lakes can cause different problems both to lake ecology and food webs and interfere with human activities. This drove our interest to exploit recursive satellite imagery to retrieve optical parameters suitable to develop an early warning strategy by mapping the aquatic weeds. This paper aims at assessing the capability of satellite-based remotely sensed imagery to provide information suitable for monitoring and managing the Lake Victoria resources. The spectral data collected during a field campaign, carried out for that purpose, were used to map the floating aquatic vegetation. By analyzing the ¿in situ¿ measurements and time series of satellite data we retrieved the distribution of aquatic weeds from 2004 to 2007 and the seasonal aquatic vegetation growth. These maps, when provided with an appropriate time frequency, can be useful to identify the preconditions for the occurrence of hazard events such as aquatic weeds and to develop an up-to-date decision support system.
  • Keywords
    decision support systems; ecology; geophysical techniques; lakes; remote sensing; vegetation; AD 2004 to 2007; Lake Victoria aquatic weeds monitoring; decision support system; early warning strategy; floating aquatic vegetation; food webs; hazard events; human activities; lake ecology; recursive satellite imagery; remote sensing; seasonal aquatic vegetation growth; Environmental factors; Humans; Image resolution; Image retrieval; Lakes; Monitoring; Optical sensors; Satellites; Spatial resolution; Vegetation mapping; Aquatic weeds infestations; distribution maps; satellite remote sensing; spectral features analysis; spectral mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418284
  • Filename
    5418284