| 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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| Source Publication | Geo-spatial Information Science
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| ISSN | 1009-5020 |
| 2015 | |
| Volume | 18Issue:1Pages:32-42 |
| Keyword | Water Extraction Operational Land Imager (Oli) Data Threshold Stability Water Indices |
| DOI | 10.1080/10095020.2015.1017911 |
| Contribution Rank | Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma |
| Department | 海岸带信息集成与综合管理实验室 |
| Abstract | 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. |
| Subtype | 期刊论文 |
| Indexed By | 其他 |
| Language | 英语 |
| CSCD ID | CSCD:5392872 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.yic.ac.cn/handle/133337/8454 |
| Collection | 中科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 |
| Corresponding Author | Wu, Xiaoqing.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Yantai, China. Email:xqwu@yic.ac.cn |
| Affiliation | 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 |
| Recommended Citation 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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