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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張康聰(Kang-tsung Chang) | |
| dc.contributor.author | Thomas Lahousse | en |
| dc.contributor.author | 胡笙 | zh_TW |
| dc.date.accessioned | 2021-06-16T23:49:47Z | - |
| dc.date.available | 2012-07-27 | |
| dc.date.copyright | 2012-07-27 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-07-23 | |
| dc.identifier.citation | Aleotti, P. and Chowdhury, R.: Landslide hazard assessment: summary review and new perspectives, Bull. Eng. Geol. Env., 58, 21-44, 1999.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/65548 | - |
| dc.description.abstract | 崩塌製圖是一個進行崩塌危險評估的關鍵步驟。本文運用物件導向影像處理方法於台灣白石集水區兩個個案的崩塌檢測與製圖。在第一個個案中發展出一個多尺度的物件導向影像處理方法來繪製2004年艾莉颱風後的崩塌，檢測的準確率達到86%，此作法另可檢測出各種尺寸的崩塌。第二個個案所用的是地理物件導向影像變化處理方法(GEOBICA)繪製多重時間的崩塌。以此方法檢測2004年以及2008年的崩塌，兩者檢測結果均達到83%以上的準確率。此作法更可提供四年之間崩塌的發生、回復、持續作用的線索。本論文並分析此方法的限制，提出後續研究的方向及可能性，提供學界作為參考。 | zh_TW |
| dc.description.abstract | Landslide mapping is a fundamental step to undertake landslide hazard and risk assessments. We designed two case studies in the Baichi watershed, Taiwan, to detect and map landslides with object-based image analysis (OBIA) techniques. We first developed a multiscale OBIA approach to map shallow landslides after Typhoon Aere in 2004. The detection performance reached 86.5% in training and 86% at validation. The method detected substantial number of landslides of all sizes. It could serve for mapping shallow landslides over large areas. We developed a second landslide detection scheme, based on a geographic object-based image change analysis (GEOBICA) methodology, to map landslide for multi-temporal inventories. The technique detected landslide at two dates, 2004 and 2008. Its detection performance was above 83% in both the training and validation watersheds. The technique also provided an account of landslide recovery, occurrence and persistence in the watersheds over the 4-year period. This methodology could serve to develop multi-temporal inventories, to check old landslide maps, and to identify landslide hotspots. Both techniques presented inherent limitations: site and image specificity of the classification thresholds in the first case, a restricted geographic scope and the necessary absence of shadow and clouds in the second case. We suggested further research directions in OBIA landslide mapping, to remedy current limitations and develop the potential of both methodologies. We finally recommended the use of OBIA in landslide hazard and risk assessment, beyond its current landslide mapping scope. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T23:49:47Z (GMT). No. of bitstreams: 1 ntu-101-D96228009-1.pdf: 6308957 bytes, checksum: bac94d6c5a0a5ef63cef209d0c02b18f (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | Chapter 1 Introduction 1
1.1 Landslide significance in Taiwan 2 1.2 Landslide mapping 3 1.3 Ambition of the work 7 1.4 Outline of the work 8 Chapter 2 Landslide mapping with multi-scale OBIA – a case study in the Baichi watershed, Taiwan. 10 2.1 Introduction 11 2.2 Study area and materials 14 2.2.1 Study area 14 2.2.2 Data 17 2.3 Methodology 21 2.3.1 Multi-scale segmentation for landslides 21 2.3.2 Classification 25 2.3.2 Tests 29 2.4 Results 32 2.4.1 MSR performance 32 2.4.2 Single scale performance comparison 33 2.4.3 Validation 34 2.5 Discussion 35 2.5.1 OBIA, multiscale, and landslide detection performance 35 2.5.2 Limitations 38 2.5.3 Potential applications 39 2.6 Conclusions 41 Chapter 3 Mapping landslide through geographic object based image change analysis (GEOBICA) – a case study in Baichi watershed, Taiwan. 42 3.1 Introduction 43 3.2 Study area and materials 47 3.2.1 Study area 47 3.2.2 Satellite image, landslide inventory and stream data 49 3.3 Methodology 52 3.3.1 Object-based segmentation and multi-temporal signature 53 3.3.2 Cluster analysis 55 3.3.3 NDVI temporal trajectories 57 3.3.4 Object-based classification 61 3.3.5 Accuracy assessment and validation 66 3.3.6 Landslide occurrence, persistence and recovery 66 3.4 Results 67 3.4.1 Segmentation, signature, NDVI temporal trajectories 67 3.4.2 Landslide detection assessment 67 3.4.3 Validation 71 3.4.4 New occurrence, recovery, persistence 73 3.5 Discussion 76 3.5.1 From GEOBICA to landslide mapping 76 3.5.2 Persistence, occurrence, and recovery 78 3.5.3 Limits and potential of the methodology 80 3.6 Conclusion 82 Chapter 4 Conclusion and recommendations 83 4.1 Introduction 84 4.2 Landslide mapping with OBIA 85 4.2.1 Research question (1) 85 4.2.2 Research question (2) 87 4.2.3 Suggestions for both case studies 88 4.3 OBIA and landslide research 90 4.4 OBIA teaching 92 Reference 93 | |
| dc.language.iso | en | |
| dc.subject | 物件導向影像處理 | zh_TW |
| dc.subject | 崩塌製圖 | zh_TW |
| dc.subject | 多尺度 | zh_TW |
| dc.subject | 地理物件導向影像變化處理（GEOBICA） | zh_TW |
| dc.subject | 崩塌檢測 | zh_TW |
| dc.subject | 台灣 | zh_TW |
| dc.subject | landslide detection | en |
| dc.subject | OBIA | en |
| dc.subject | landslide mapping | en |
| dc.subject | Taiwan | en |
| dc.subject | multi-scale | en |
| dc.subject | GEOBICA | en |
| dc.title | 運用物件導向影像處理方法於崩塌製圖研究
台灣白石集水區的個案 | zh_TW |
| dc.title | Landslide Mapping at the Watershed Level with OBIA — Case studies in the Baichi watershed, Taiwan | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 林銘郎(Ming-Lang Lin),蔡博文(Bor-Wen Tsai),廖學誠(Shyue-cherng Liaw),古澤隄(Fausto Guzzetti) | |
| dc.subject.keyword | 物件導向影像處理,崩塌製圖,多尺度,地理物件導向影像變化處理（GEOBICA）,崩塌檢測,台灣, | zh_TW |
| dc.subject.keyword | OBIA,landslide mapping,multi-scale,GEOBICA,landslide detection,Taiwan, | en |
| dc.relation.page | 113 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-07-23 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 地理環境資源學研究所 | zh_TW |
| 顯示於系所單位： | 地理環境資源學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-101-1.pdf 未授權公開取用 | 6.16 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。