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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 4
Nat. Hazards Earth Syst. Sci., 10, 729–745, 2010
https://doi.org/10.5194/nhess-10-729-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nat. Hazards Earth Syst. Sci., 10, 729–745, 2010
https://doi.org/10.5194/nhess-10-729-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Apr 2010

13 Apr 2010

Using remote sensing to assess tsunami-induced impacts on coastal forest ecosystems at the Andaman Sea coast of Thailand

H. Roemer1, G. Kaiser1, H. Sterr1, and R. Ludwig2 H. Roemer et al.
  • 1Department of Geography, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
  • 2Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany

Abstract. 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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