• DocumentCode
    340325
  • Title

    Perspectives for monitoring of Lake Baikal ecosystem variability using remote sensing data

  • Author

    Semovski, Segei V. ; Bondarenko, Nina A. ; Popovskaya, Galina I. ; Mogilev, Nikolay Yu ; Alpers, Werner ; Schrum, Corinna

  • Author_Institution
    Limnological Inst., Acad. of Sci., Irkutsk, Russia
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    852
  • Abstract
    Lake Baikal in Eastern Siberia is the deepest (1638 m) and the oldest lake on Earth. It contains about 20% of available freshwater. About 60% of this volume still meet the most rigorous international standards, including WHO requirements, of potable water. The lake is under threat of pollution through industry (paper-pulp industry) and through eutrophication processes from point and diffusive sources (a main source is the river Selenga). Changes in land use in the water catchment area are reflected in increased erosion by wind and water. The vast area involved necessitates the use of remote sensing as a prime information source of spatial data. This article presents AD 1994-8 AVHRR and ERS SAR seasonal observations of this lake
  • Keywords
    hydrological techniques; lakes; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; water pollution; water pollution measurement; AD 1994; AD 1995; AD 1996; AD 1997; AD 1998; AVHRR; ERS; Lake Baikal; Russia; SAR; Siberia; biology; ecosystem; eutrophication; hydrology; lake; measurement technique; monitoring; multispectral remote sensing; optical imaging; radar remote sensing; seasonal observations; variability; water pollution; Earth; Ecosystems; Environmentally friendly manufacturing techniques; Industrial pollution; Lakes; Monitoring; Pulp and paper industry; Remote sensing; Rivers; Water pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Conference_Location
    Hamburg
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.774463
  • Filename
    774463