[1] GHOBADI Y, PRADHAN B, SHAFRI H Z M, et al. Spatio-temporal remotely sensed data for analysis of the shrinkage and shifting in the Al Hawizeh wetland[J]. Environ Monit Assess, 2015, 187(1):1-17.
[2] SARP G, OZCELIK M. Water body extraction and change detection using time series:a case study of Lake Burdur, Turkey[J]. J Taibah Univ Sci, 2016, 11(3):381-391.
[3] ADADE R, NYARKO B K, AHETO D W, et al. Fragmentation of wetlands in the south eastern coastal savanna of Ghana[J]. Reg Stud Mar Sci, 2017, 12:40-48.
[4] McFEETERS S. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features[J]. Int J Remote Sens, 2012, 17(7):1425-1432.
[5] 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报, 2005, 9(5):589-595.

XU Hanqiu. A study on information extraction of water body with the modified normalized difference water index(MNDWI)[J]. J Remote Sens, 2005, 9(5):589-595.
[6] 骆剑承, 盛永伟, 沈占锋, 等.分步迭代的多光谱遥感水体信息高精度自动提取[J].遥感学报, 2009, 13(4):610-615.

LUO Jiancheng, SHENG Yongwei, SHEN Zhanfeng, et al. Automatic and high-precise extraction for water information from multispectral images with the step-by-step iterative transformation mechanism[J]. J Remote Sens, 2009, 13(4):610-615.
[7] SAGHEBIAN S M, SATTARI M T, MIRABBASI R, et al. Ground water quality classification by decision tree method in Ardebil region, Iran[J]. Arabian J Geosci, 2014, 7(11):4767-4777.
[8] MISHRA K, PRASAD P R C. Automatic extraction of water bodies from landsat imagery using perceptron model[J]. J Comput Environ Sci, 2015, 2015:903465. doi:10.1155/2015/903465.
[9] CRASTO N, HOPKINSON C, FORBES D L, et al. A LIDAR-based decision-tree classification of open water surfaces in an Arctic delta[J]. Remote Sens Environ, 2015, 164(46):90-102.
[10] PARDO-PASCUAL J E, ALMONACID-CABALLER J, RUIZ L A, et al. Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision[J]. Remote Sens Environ, 2012, 123(6):1-11.
[11] GRINGS F, SALVIA M, KAESZENBAUM H, et al. Exploring the capacity of radar remote sensing to estimate wetland marshes water storage[J]. J Environ Manage, 2009, 90(7):2189-2198.
[12] 邢丽玮, 牛振国, 张海英.不同湿度指数在湿地分类中的对比研究[J].地理与地理信息科学, 2015, 31(6):35-40.

XING Liwei, NIU Zhenguo, ZHANG Haiying. Study on capability of wetness indexes for wetland classification[J]. Geogr Geogr-Inf Sci, 2015, 31(6):35-40.
[13] XU Hanqiu. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery[J]. Int J Remote Sens, 2006, 27(14):3025-3033.
[14] 凌成星, 张怀清, 林辉.利用混合水体指数模型(CIWI)提取滨海湿地水体的信息[J].长江流域资源与环境, 2010, 19(2):152-157.

LING Chengxing, ZHANG Huaiqing, LIN Hui. Research on extraction coastal wetlands water information using composition CIWI water index[J]. Resour Environ Yangtze Basin, 2010, 19(2):152-157.
[15] 朱宝山, 张绍华, 徐大龙, 等.综合水体指数及其应用[J].测绘科学技术学报, 2013, 30(1):19-23.

ZHU Baoshan, ZHANG Shaohua, XU Dalong, et al. Comprehensive water index and its application[J]. J Geomat Sci Technol, 2013, 30(1):19-23.
[16] ZHAO Xin, WANG Ping, CHEN Chao, et al. Waterbody information extraction from remote-sensing images after disasters based on spectral information and characteristic knowledge[J]. Int J Remote Sens, 2017, 38(5):1404-1422.
[17] PANG Kun, XIE Wenbin, AO Zhigang, et al. The extraction of water based on texture features form remote sensing information[J]. Adv Mater Res, 2012, 546/547:1444-1447.
[18] HUANG Chengquan, SONG Kuan, KIM S, et al. Use of a dark object concept and support vector machines to automate forest cover change analysis[J]. Remote Sens Environ, 2008, 112(3):970-985.