Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster
文献类型：期刊论文
| 作者 | Yang Fengshuo2,3; Yang Xiaomei1,2,3; Wang Zhihuai2; Lu Chen2,3; Li Zhi3,4; Liu Yueming2,3 |
| 刊名 | JOURNAL OF OCEANOLOGY AND LIMNOLOGY
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 37期号:6页码:1955-1970 |
| ISSN号 | 2096-5508 |
| 关键词 | coastal area marine disaster vulnerability assessment remote sensing land use cover object-based image analysis (OBIA) |
| DOI | 10.1007/s00343-019-8266-y |
| 通讯作者 | Wang Zhihuai(zhwang@lreis.ac.cn) |
| 英文摘要 | Efficient and accurate access to coastal land cover information is of great significance for marine disaster prevention and mitigation. Although the popular and common sensors of land resource satellites provide free and valuable images to map the land cover, coastal areas often encounter significant cloud cover, especially in tropical areas, which makes the classification in those areas non-ideal. To solve this problem, we proposed a framework of combining medium-resolution optical images and synthetic aperture radar (SAR) data with the recently popular object-based image analysis (OBIA) method and used the Landsat Operational Land Imager (OLI) and Phased Array type L-band Synthetic Aperture Radar (PALSAR) images acquired in Singapore in 2017 as a case study. We designed experiments to confirm two critical factors of this framework: one is the segmentation scale that determines the average object size, and the other is the classification feature. Accuracy assessments of the land cover indicated that the optimal segmentation scale was between 40 and 80, and the features of the combination of OLI and SAR resulted in higher accuracy than any individual features, especially in areas with cloud cover. Based on the land cover generated by this framework, we assessed the vulnerability of the marine disasters of Singapore in 2008 and 2017 and found that the high-vulnerability areas mainly located in the southeast and increased by 118.97 km 2 over the past decade. To clarify the disaster response plan for different geographical environments, we classified risk based on altitude and distance from shore. The newly increased high-vulnerability regions within 4 km offshore and below 30 m above sea level are at high risk; these regions may need to focus on strengthening disaster prevention construction. This study serves as a typical example of using remote sensing techniques for the vulnerability assessment of marine disasters, especially those in cloudy coastal areas. |
| WOS关键词 | LANDCOVER CLASSIFICATION ; SCALE ; URBAN ; LANDSAT ; SEGMENTATION ; INTEGRATION ; FEATURES ; REMOVAL ; TEXTURE ; PALSAR |
| 资助项目 | National Key Research and Development Program of China[2016YFC1402003] ; CAS Earth Big Data Science Project[XDA19060303] ; Innovation Project of the State Key Laboratory of Resources and Environmental Information System[O88RAA01YA] |
| WOS研究方向 | Marine & Freshwater Biology ; Oceanography |
| 语种 | 英语 |
| 出版者 | SCIENCE PRESS |
| WOS记录号 | WOS:000495243300015 |
| 资助机构 | National Key Research and Development Program of China ; CAS Earth Big Data Science Project ; Innovation Project of the State Key Laboratory of Resources and Environmental Information System |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131908]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang Zhihuai |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang Fengshuo,Yang Xiaomei,Wang Zhihuai,et al. Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2019,37(6):1955-1970. |
| APA | Yang Fengshuo,Yang Xiaomei,Wang Zhihuai,Lu Chen,Li Zhi,&Liu Yueming.(2019).Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,37(6),1955-1970. |
| MLA | Yang Fengshuo,et al."Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster".JOURNAL OF OCEANOLOGY AND LIMNOLOGY 37.6(2019):1955-1970. |
入库方式： OAI收割
来源：地理科学与资源研究所
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