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Ground deformation detection based on ALOS-PALSAR data utilizing DInSAR technique in Indonesia
http://hdl.handle.net/2237/14041
http://hdl.handle.net/2237/140414b657fd0-ee82-4181-baa6-c0c76f391da0
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k8740_thesis.pdf (11.5 MB)
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||
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公開日 | 2010-08-23 | |||||
タイトル | ||||||
タイトル | Ground deformation detection based on ALOS-PALSAR data utilizing DInSAR technique in Indonesia | |||||
言語 | en | |||||
著者 |
Agustan
× Agustan |
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アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
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内容記述タイプ | Abstract | |||||
内容記述 | Indonesia is located in a junction of four world’s major plates, namely Eurasian, Australian, Pacific and Philippines plates. These plates subduct and collide with each other and make Indonesia prone to disaster considering the number of population that live in vulnerable areas. Ground deformation can be utilized to identify the vulnerable areas and also to understand the tectonic and volcanic processes that occur in particular region. However, ground deformation monitoring systems are not well developed yet in almost every part of the country. \nInterferometric Synthetic Aperture Radar (InSAR) is one technique that can monitor ground deformation by measuring phase differences of the same ground pixel of Earth’s surface. This technique is promising for observation of ground deformation in tropical rainforest area by utilizing L-band SAR data, especially in developing countries that lack ground deformation monitoring network systems. \nThe research presented in this dissertation aims to obtain the best strategies in InSAR data processing for ground deformation detection in Indonesia. Ground deformations related to seismic and volcanic processes are the main objects in this research. This research detects the ground deformation based on differential InSAR and discusses the mechanism of earthquake of Mw 7.6 January 2009 Papua earthquake, volcanic eruptions at Ibu Volcano in April 2008, and Anak Krakatau Volcano in October 2008. For ground deformation detection related to volcanic activity associated with eruptions, it is difficult to obtain clear fringes directly from InSAR data processing due to noises caused by conditions in the surrounding environment, especially from volcanic ash. To enhance the ground deformation signal, InSAR data processing strategies are extended with post-processed filtering technique. This method is applied after phase unwrapping and converting the deformation value of each pixel into grid format. It is found that a non-convolution spatial filtering method is proven to enhance the similarities of grids and suppress noise of InSAR deformation estimates hence a reliable displacement quantity is obtained. Based on this estimates, the mechanism of ground deformation can be modeled. | |||||
言語 | en | |||||
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内容記述タイプ | Other | |||||
内容記述 | 名古屋大学博士学位論文 学位の種類 : 理学博士(課程) 学位授与年月日 : 平成22年3月25日 | |||||
言語 | ja | |||||
言語 | ||||||
言語 | eng | |||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||
資源タイプ | doctoral thesis | |||||
書誌情報 |
発行日 2010-03-25 |
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学位名 | ||||||
言語 | ja | |||||
学位名 | 理学博士(課程) | |||||
学位授与機関 | ||||||
学位授与機関識別子Scheme | kakenhi | |||||
学位授与機関識別子 | 13901 | |||||
言語 | ja | |||||
学位授与機関名 | 名古屋大学 | |||||
言語 | en | |||||
学位授与機関名 | Nagoya University | |||||
学位授与年度 | ||||||
値 | 2009 | |||||
学位授与年月日 | ||||||
学位授与年月日 | 2010-03-25 | |||||
学位授与番号 | ||||||
学位授与番号 | 甲第8740号 | |||||
フォーマット | ||||||
値 | application/pdf | |||||
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値 | publisher | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/14041 | |||||
識別子タイプ | HDL |