caa a22 4500 445893664 CHVBK 20180317145624.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s10750-010-0466-6 doi (NATIONALLICENCE)springer-10.1007/s10750-010-0466-6 High-resolution satellite remote sensing of littoral vegetation of Lake Sevan (Armenia) as a basis for monitoring and assessment [Elektronische Daten] [Jörg Heblinski, Klaus Schmieder, Thomas Heege, Thomas Agyemang, Hovik Sayadyan, Lilit Vardanyan] Physics-based remote sensing in littoral environments for ecological monitoring and assessment is a challenging task that depends on adequate atmospheric conditions during data acquisition, sensor capabilities and correction of signal disturbances associated with water surface and water column. Airborne hyper-spectral scanners offer higher potential than satellite sensors for wetland monitoring and assessment. However, application in remote areas is often limited by national restrictions, time and high costs compared to satellite data. In this study, we tested the potential of the commercial, high-resolution multi-spectral satellite QuickBird for monitoring littoral zones of Lake Sevan (Armenia). We present a classification procedure that uses a physics-based image processing system (MIP) and GIS tools for calculating spatial metrics. We focused on classification of littoral sediment coverage over three consecutive years (2006-2008) to document changes in vegetation structure associated with a rise in water levels. We describe a spectral unmixing algorithm for basic classification and a supervised algorithm for mapping vegetation types. Atmospheric aerosol retrieval, lake-specific parameterisation and validation of classifications were supported by underwater spectral measurements in the respective seasons. Results revealed accurate classification of submersed aquatic vegetation and sediment structures in the littoral zone, documenting spatial vegetation dynamics induced by water level fluctuations and inter-annual variations in phytoplankton blooms. The data prove the cost-effective applicability of satellite remote-sensing approaches for high-resolution mapping in space and time of lake littoral zones playing a major role in lake ecosystem functioning. Such approaches could be used for monitoring wetlands anywhere in the world. Springer Science+Business Media B.V., 2010 Remote sensing nationallicence Littoral vegetation nationallicence Water level fluctuations nationallicence Spectral unmixing nationallicence Inversion nationallicence QuickBird nationallicence Heblinski Jörg Bräuhausgasse 1, 82205, Gilching, Germany aut Schmieder Klaus Institute for Landscape and Plant Ecology, University of Hohenheim, August-v.-Hartmann-Str. 3, 70599, Stuttgart, Germany aut Heege Thomas EOMAP GmbH & Co. KG, Friedrichshafener Str. 1, 82205, Gilching, Germany aut Agyemang Thomas Institute for Landscape and Plant Ecology, University of Hohenheim, August-v.-Hartmann-Str. 3, 70599, Stuttgart, Germany aut Sayadyan Hovik Department of Forestry and Agro-Ecology, State Agrarian University, 74 Teryan, 375079, Yerevan, Armenia aut Vardanyan Lilit Vanevan University, #19, Gulbenkyan 29A, Yerevan, Armenia aut Hydrobiologia Springer Netherlands 661/1(2011-02-01), 97-111 0018-8158 661:1<97 2011 661 10750 https://doi.org/10.1007/s10750-010-0466-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10750-010-0466-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Heblinski Jörg Bräuhausgasse 1, 82205, Gilching, Germany aut NATIONALLICENCE 700 1- Schmieder Klaus Institute for Landscape and Plant Ecology, University of Hohenheim, August-v.-Hartmann-Str. 3, 70599, Stuttgart, Germany aut NATIONALLICENCE 700 1- Heege Thomas EOMAP GmbH & Co. KG, Friedrichshafener Str. 1, 82205, Gilching, Germany aut NATIONALLICENCE 700 1- Agyemang Thomas Institute for Landscape and Plant Ecology, University of Hohenheim, August-v.-Hartmann-Str. 3, 70599, Stuttgart, Germany aut NATIONALLICENCE 700 1- Sayadyan Hovik Department of Forestry and Agro-Ecology, State Agrarian University, 74 Teryan, 375079, Yerevan, Armenia aut NATIONALLICENCE 700 1- Vardanyan Lilit Vanevan University, #19, Gulbenkyan 29A, Yerevan, Armenia aut NATIONALLICENCE 773 0- Hydrobiologia Springer Netherlands 661/1(2011-02-01), 97-111 0018-8158 661:1<97 2011 661 10750 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer