High-resolution satellite remote sensing of littoral vegetation of Lake Sevan (Armenia) as a basis for monitoring and assessment |
| |
Authors: | Jörg Heblinski Klaus Schmieder Thomas Heege Thomas Kwaku Agyemang Hovik Sayadyan Lilit Vardanyan |
| |
Institution: | 1.Gilching,Germany;2.EOMAP GmbH & Co. KG,Gilching,Germany;3.Institute for Landscape and Plant Ecology,University of Hohenheim,Stuttgart,Germany;4.Department of Forestry and Agro-Ecology,State Agrarian University,Yerevan,Armenia;5.Vanevan University,Yerevan,Armenia |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|