Author
Listed:
- Thomas K. Alexandridis
(Aristotle University of Thessaloniki, Laboratory of Applied Soil Science, Laboratory of Remote Sensing and GIS, Faculty of Agronomy)
- Vasileios Takavakoglou
(Aristotle University of Thessaloniki, Laboratory of Applied Soil Science, Laboratory of Remote Sensing and GIS, Faculty of Agronomy)
- Thomas L. Crisman
(University of Florida, Howard T. Odum Center for Wetlands)
- George C. Zalidis
(Aristotle University of Thessaloniki, Laboratory of Applied Soil Science, Laboratory of Remote Sensing and GIS, Faculty of Agronomy)
Abstract
During recent decades, Lake Koronia has undergone severe degradation as a result of human activities around the lake and throughout the basin. Surface and groundwater abstraction and pollution from agricultural, industrial, and municipal sources are the major sources of degradation. Planning a restoration project was hampered by lack of sufficient data, with gaps evident in both spatial and temporal dimensions. This study emphasized various remote sensing and geographic information system techniques, such as digital image processing and geographic overlay, to fill gaps using satellite imagery and other spatial environmental, hydrological, and hydrogeological data in the process of planning the restoration of Lake Koronia, following Ramsar guidelines. Current and historical remote sensing data were used to assess the current status and level of degradation, set constraints and define the ideotype for the restoration, and, finally, define and select the best restoration scenario.
Suggested Citation
Thomas K. Alexandridis & Vasileios Takavakoglou & Thomas L. Crisman & George C. Zalidis, 2007.
"Remote Sensing and GIS Techniques for Selecting a Sustainable Scenario for Lake Koronia, Greece,"
Environmental Management, Springer, vol. 39(2), pages 278-290, February.
Handle:
RePEc:spr:envman:v:39:y:2007:i:2:d:10.1007_s00267-005-0364-2
DOI: 10.1007/s00267-005-0364-2
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