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| Titel |
Mapping and Monitoring of urban growth using remote sensing imagery analysis: the case of Chania, Crete |
| VerfasserIn |
Marily Xigaki, Giorgos Stavroulakis, Nune Igityan |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250049918
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| Zusammenfassung |
| Urbanization is an anthropogenic phenomenon that has been recognized as a threat to
human health, to social relations, to climate, to natural environment and to economy.
Urban development has profound effects on biodiversity and ecosystem functioning
at local, regional, and global scales. Thus, being able to map the urban areas and
monitor urbanisation trend is of highly importance to both scientists and policy
makers.
Traditional methods for urbanisation mapping based on gathering demographic data,
censuses and maps using samples are impractical and unsatisfactory for urban management
purposes. However, remote sensing and Geographic Information Systems (GIS) can help to
solve these problems by providing up-to-date spatial information. The present study aims to
study the urban expansion of the city of Chania and the wider area around it, for a period of
20 years based on multispectral remote sensing imagery analysis. Chania is located in the
island of Crete in Greece and the second on population city of the island. Crete
is a great tourist destination with special natural landscape and large agricultural
production.
Urban expansion mapping for the study site has been based on a time series analysis of
Landsat TM images and a GIS built up to facilitate an efficient data analysis. The use of
image classification applied to the TM observations for mapping urban growth is examined.
As a means of accuracy assessment, the resulting land cover estimates were compared with
independent estimates obtained from the visual interpretation of digital orthophotography of
the Landsat TM images. An attempt is also made to relate results from this study to any
relevant for the study area significant social, economic, political, scientific, natural
phenomena and events.
KEYWORDS: urbanisation, urban growth, Landat TM, image classification, Crete,
Greece |
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