IGSNRR OpenIR
Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors
Zhou, Yan1,2; Dong, Jinwei2,3; Xiao, Xiangming4; Xiao, Tong5; Yang, Zhiqi1,2; Zhao, Guosong2; Zou, Zhenhua4; Qin, Yuanwei4
2017-04-01
Source PublicationWATER
ISSN2073-4441
Volume9Issue:4Pages:16
Corresponding AuthorDong, Jinwei(dongjw@igsnrr.ac.cn) ; Xiao, Xiangming(xiangming.xiao@ou.edu)
AbstractOpen 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.
Keywordopen surface water body mapping water indices Sentinel-2 Landsat 8 Landsat 7 comparison
DOI10.3390/w9040256
WOS KeywordTM TASSELED CAP ; LANDSAT 8 ; TIME-SERIES ; SENTINEL-2 MSI ; RIVER-BASIN ; IMAGERY ; MODIS ; DYNAMICS ; QUALITY ; BODIES
Indexed BySCI
Language英语
Funding ProjectKey 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]
Funding OrganizationKey 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
WOS Research AreaWater Resources
WOS SubjectWater Resources
WOS IDWOS:000404556400026
PublisherMDPI AG
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63242
Collection中国科学院地理科学与资源研究所
Corresponding AuthorDong, Jinwei; Xiao, Xiangming
Affiliation1.China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
5.Minist Environm Protect, Satellite Environm Ctr, Beijing 100094, Peoples R China
Recommended Citation
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.
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