| Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations | |
Zhai Ke1,3; Wu Xiaoqing1,2 ; Qin Yuanwei2; Du Peipei1,3; Wu, Xiaoqing.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Yantai, China. Email:xqwu@yic.ac.cn
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| 发表期刊 | Geo-spatial Information Science
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| ISSN | 1009-5020 |
| 2015 | |
| 卷号 | 18期号:1页码:32-42 |
| 关键词 | Water Extraction Operational Land Imager (Oli) Data Threshold Stability Water Indices |
| DOI | 10.1080/10095020.2015.1017911 |
| 产权排序 | Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| 英文摘要 | Recently, water extraction based on the indices method has been documented in many studies using various remote sensing data sources. Among them, Landsat satellites data have certain advantages in spatial resolution and cost. After the successful launch of Landsat 8, the Operational Land Imager (OLI) data from the satellite are getting more and more attention because of its new improvements. In this study, we used the OLI imagery data source to study the water extraction performance based on the Normalized Difference Vegetation Index, Normalized Difference Water Index, Modified Normalized Water Index (MNDWI), and Automated Water Extraction Index (AWEI) and compared the results with the Thematic Mapper (TM) imagery data. Two test sites in Tianjin City of north China were selected as the study area to verify the applicability of OLI data and demonstrate its advantages over TM data. We found that the results of surface water extraction based on OLI data are slightly better than that based on TM in the two test sites, especially in the city site. The AWEI and MNDWI indices performs better than the other two indices, and the thresholds of water indices show more stability when using the OLI data. So, it is suitable to combine OLI imagery with other Landsat sensor data to study water changes for long periods of time. |
| 文章类型 | 期刊论文 |
| 收录类别 | 其他 |
| 语种 | 英语 |
| CSCD记录号 | CSCD:5392872 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/8454 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 中国科学院烟台海岸带研究所 |
| 通讯作者 | Wu, Xiaoqing.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Yantai, China. Email:xqwu@yic.ac.cn |
| 作者单位 | 1.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences 2.Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman; OK, United States 3.University of Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Zhai Ke,Wu Xiaoqing,Qin Yuanwei,et al. Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations[J]. Geo-spatial Information Science,2015,18(1):32-42. |
| APA | Zhai Ke,Wu Xiaoqing,Qin Yuanwei,Du Peipei,&Wu, Xiaoqing.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Yantai, China. Email:xqwu@yic.ac.cn.(2015).Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations.Geo-spatial Information Science,18(1),32-42. |
| MLA | Zhai Ke,et al."Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations".Geo-spatial Information Science 18.1(2015):32-42. |
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