Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors
文献类型：期刊论文
| 作者 | Zhou, Yan3,4; Dong, Jinwei1,4; Xiao, Xiangming5; Xiao, Tong2; Yang, Zhiqi3,4; Zhao, Guosong4; Zou, Zhenhua5; Qin, Yuanwei5 |
| 刊名 | WATER
 |
| 出版日期 | 2017-04-01 |
| 卷号 | 9期号:4页码:16 |
| 关键词 | open surface water body mapping water indices Sentinel-2 Landsat 8 Landsat 7 comparison |
| ISSN号 | 2073-4441 |
| DOI | 10.3390/w9040256 |
| 通讯作者 | Dong, Jinwei(dongjw@igsnrr.ac.cn) ; Xiao, Xiangming(xiangming.xiao@ou.edu) |
| 英文摘要 | Open surface water bodies play an important role in agricultural and industrial production, and are susceptible to climate change and human activities. Remote sensing data has been increasingly used to map open surface water bodies at local, regional, and global scales. In addition to image statistics-based supervised and unsupervised classifiers, spectral index-and threshold-based approaches have also been widely used. Many water indices have been proposed to identify surface water bodies; however, the differences in performances of these water indices as well as different sensors on water body mapping are not well documented. In this study, we reviewed and compared existing open surface water body mapping approaches based on six widely-used water indices, including the tasseled cap wetness index (TCW), normalized difference water index (NDWI), modified normalized difference water index (mNDWI), sum of near infrared and two shortwave infrared bands (Sum457), automated water extraction index (AWEI), land surface water index (LSWI), as well as three medium resolution sensors (Landsat 7 ETM+, Landsat 8 OLI, and Sentinel-2 MSI). A case region in the Poyang Lake Basin, China, was selected to examine the accuracies of the open surface water body maps from the 27 combinations of different algorithms and sensors. The results showed that generally all the algorithms had reasonably high accuracies with Kappa Coefficients ranging from 0.77 to 0.92. The NDWI-based algorithms performed slightly better than the algorithms based on other water indices in the study area, which could be related to the pure water body dominance in the region, while the sensitivities of water indices could differ for various water body conditions. The resultant maps from Landsat 8 and Sentinel-2 data had higher overall accuracies than those from Landsat 7. Specifically, all three sensors had similar producer accuracies while Landsat 7 based results had a lower user accuracy. This study demonstrates the improved performance in Landsat 8 and Sentinel-2 for open surface water body mapping efforts. |
| WOS关键词 | TM TASSELED CAP ; LANDSAT 8 ; TIME-SERIES ; SENTINEL-2 MSI ; RIVER-BASIN ; IMAGERY ; MODIS ; DYNAMICS ; QUALITY ; BODIES |
| 资助项目 | Key Research Program of Frontier Sciences ; Chinese Academy of Sciences[QYZDB-SSW-DQC005] ; Thousand Youth Talents Plan ; National Natural Science Foundation of China[41501117] ; National Science Foundation EPSCoR program[OIA-1301789] ; National Institutes of Health NIAID[1R01AI101028-01A2] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000404556400026 |
| 出版者 | MDPI AG |
| 资助机构 | Key Research Program of Frontier Sciences ; Chinese Academy of Sciences ; Thousand Youth Talents Plan ; National Natural Science Foundation of China ; National Science Foundation EPSCoR program ; National Institutes of Health NIAID |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/63241]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dong, Jinwei; Xiao, Xiangming |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Minist Environm Protect, Satellite Environm Ctr, Beijing 100094, Peoples R China 3.China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 5.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA |
| 推荐引用方式 GB/T 7714 | Zhou, Yan,Dong, Jinwei,Xiao, Xiangming,et al. Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors[J]. WATER,2017,9(4):16. |
| APA | Zhou, Yan.,Dong, Jinwei.,Xiao, Xiangming.,Xiao, Tong.,Yang, Zhiqi.,...&Qin, Yuanwei.(2017).Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors.WATER,9(4),16. |
| MLA | Zhou, Yan,et al."Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors".WATER 9.4(2017):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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