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| Titel |
Using remote sensing to assess tsunami-induced impacts on coastal forest ecosystems at the Andaman Sea coast of Thailand |
| VerfasserIn |
H. Roemer, G. Kaiser, H. Sterr, R. Ludwig |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 10, no. 4 ; Nr. 10, no. 4 (2010-04-13), S.729-745 |
| Datensatznummer |
250008079
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| Publikation (Nr.) |
 copernicus.org/nhess-10-729-2010.pdf |
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| Zusammenfassung |
| The December 2004 tsunami strongly impacted coastal ecosystems along the
Andaman Sea coast of Thailand. In this paper tsunami-induced damage of five
different coastal forest ecosystems at the Phang-Nga province coast is
analysed with a remote sensing driven approach based on multi-date IKONOS
imagery. Two change detection algorithms, change vector analysis (CVA) and
direct multi-date classification (DMC), are applied and compared regarding
their applicability to assess tsunami impacts. The analysis shows that DMC
outperforms CVA in terms of accuracy (Kappa values for DMC ranging between
0.947 and 0.950 and between 0.610–0.730 for CVA respectively) and the degree
of detail of the created change classes. Results from DMC show that mangroves
were the worst damaged among the five forests, with a 55% of directly
damaged forest in the study area, followed by casuarina forest and coconut
plantation. Additionally this study points out the uncertainties in both
methods which are mainly due to a lack of ground truth information for the
time between the two acquisition dates of satellite images. The created
damage maps help to better understand the way the tsunami impacted coastal
forests and give basic information for estimating tsunami sensitivity of
coastal forests. |
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