Remote sensing and GIS techniques for selecting a sustainable scenario for Lake Koronia, Greece.
Identifieur interne : 000170 ( Ncbi/Checkpoint ); précédent : 000169; suivant : 000171Remote sensing and GIS techniques for selecting a sustainable scenario for Lake Koronia, Greece.
Auteurs : Thomas K. Alexandridis [Grèce] ; Vasileios Takavakoglou ; Thomas L. Crisman ; George C. ZalidisSource :
- Environmental management [ 0364-152X ] ; 2007.
Descripteurs français
- Wicri :
- geographic : Grèce.
English descriptors
- KwdEn :
- MESH :
- geographic : Greece.
- Geographic Information Systems, Guidelines as Topic, Water Pollution.
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.
DOI: 10.1007/s00267-005-0364-2
PubMed: 17123001
Affiliations:
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Alexandridis</name><affiliation wicri:level="1"><nlm:affiliation>Laboratory of Applied Soil Science, Laboratory of Remote Sensing and GIS, Faculty of Agronomy, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece. thalex@agro.auth.gr</nlm:affiliation><country xml:lang="fr">Grèce</country><wicri:regionArea>Laboratory of Applied Soil Science, Laboratory of Remote Sensing and GIS, Faculty of Agronomy, Aristotle University of Thessaloniki, 54124, Thessaloniki</wicri:regionArea><wicri:noRegion>Thessaloniki</wicri:noRegion></affiliation></author><author><name sortKey="Takavakoglou, Vasileios" sort="Takavakoglou, Vasileios" uniqKey="Takavakoglou V" first="Vasileios" last="Takavakoglou">Vasileios Takavakoglou</name></author><author><name sortKey="Crisman, Thomas L" sort="Crisman, Thomas L" uniqKey="Crisman T" first="Thomas L" last="Crisman">Thomas L. Crisman</name></author><author><name sortKey="Zalidis, George C" sort="Zalidis, George C" uniqKey="Zalidis G" first="George C" last="Zalidis">George C. 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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. 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