[1] Adams, J. B., M. O. Smith, and P. E. Johnson, 1986: Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 Site. J. Geophys. Res. Solid Earth, 91, 8098–8112. doi: 10.1029/JB091iB08p08098
[2] Cao, S., H. Li, and W. Ma, 2009: Removing thin cloud arithmetic based on mathematic morphology for remote sensing image. Geogr. Geo-inform. Sci., 25, 30–33. (in Chinese)
[3] Chen, J., L. Ma, X. H. Chen, et al., 2016: Research progress of spectral mixture analysis. J. Remote Sens., 20, 1102–1109. (in Chinese) doi: 10.11834/jrs.20166169
[4] Ding, L. D., H. Wu, C. J. Wang, et al., 2006: Study of the water body extracting from MODIS images based on spectrum-photometric method. Geom. Spati. Inform. Technol., 29, 25–27. (in Chinese) doi: 10.3969/j.issn.1672-5867.2006.06.008
[5] Dong, Y. H., 2016: FY-4 meteorological satellite and its application prospect. Aerosp. Shanghai, 33, 1–8. (in Chinese) doi: 10.19328/j.cnki.1006-1630.2016.02.001
[6] Du, J. K., X. Z. Feng, Z. L. Wang, et al., 2002: The methods of extracting water information from spot image. Chinese Geophys. Sci., 12, 68–72. doi: 10.1007/s11769-002-0073-1
[7] Feng, M., J. O. Sexton, S. Channan, et al., 2016: A global, high-resolution (30-m) inland water body dataset for 2000: First results of a topographic–spectral classification algorithm. Int. J. Digit. Earth, 9, 113–133. doi: 10.1080/17538947.2015.1026420
[8] Li, M., D. C. Liew, and L. K. Kwoh, 2003: Producing cloud free and cloud-shadow free mosaic from cloudy IKONOS images. Proceedings of 2003 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Toulouse, France, 3946–3948, doi: 10.1109/IGARSS.2003.1295323.
[9] Li, Z. F., 2015: Application of GF-1 satellite in land-use remote sensing monitoring. Land Resour. Her., 12, 85–88. (in Chinese) doi: 10.3969/j.issn.1672-5603.2015.03.016
[10] Lu, F., X. H. Zhang, B. Y. Chen, et al., 2017: FY-4 geostationary meteorological satellite imaging characteristics and its application prospects. J. Mar. Meteor., 37, 1–12. (in Chinese) doi: 10.19513/j.cnki.issn2096-3599.2017.02.001
[11] Lu, J. J., and S. H. Li, 1992: Improvement of the techniques for distinguishing water bodies from TM data. Remote Sens. Environ. China, 7, 17–23. (in Chinese)
[12] Lu, S. L., B. F. Wu, N. Yan, et al., 2011: Water body mapping method with HJ-1A/B satellite imagery. Int. J. Appl. Earth Obs. Geoinform., 13, 428–434. doi: 10.1016/j.jag.2010.09.006
[13] McFeeters, S. K., 1996: The use of the normalized difference water index (NDWI) in the delineation of open water features. Int. J. Remote Sens., 17, 1425–1432. doi: 10.1080/01431169608948714
[14] Milly, P. C. D., R. T. Wetherald, K. A. Dunne, et al., 2002: Increasing risk of great floods in a changing climate. Nature, 415, 514–517. doi: 10.1038/415514a
[15] Otsu, N., 2007: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern., 9, 62–66. doi: 10.1109/TSMC.1979.4310076
[16] Potin, P., B. Rosich, N. Miranda, et al., 2016: Sentinel-1 mission status. Procedia Comput. Sci., 100, 1297–1304. doi: 10.1016/j.procs.2016.09.245
[17] Schubert, A., D. Small, N. Miranda, et al., 2015: Sentinel-1A product geolocation accuracy: Commissioning phase results. Remote Sens., 7, 9431–9449. doi: 10.3390/rs70709431
[18] Shao, J. L., W. Zheng, and C. Liu, 2015: Analysis of spatial–temporal variations in the main flood season and their influencing factors of the Dongting Lake based on meteorological satellite data. Resour. Environ. Yangtze Basin, 24, 1315–1321. (in Chinese) doi: 10.11870/cjlyzyyhj201508008
[19] Wang, S. D., M. H. A. Baig, L. F. Zhang, et al., 2015: A simple enhanced water index (EWI) for percent surface water estimation using Landsat data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 8, 90–97. doi: 10.1109/JSTARS.2014.2387196
[20] Xu, H. Q., 2005: A study on information extraction of water body with the modified normalized difference water index (MNDWI). J. Remote Sens., 9, 589–595. (in Chinese)
[21] Yang, H. B., Z. M. Wang, H. L. Zhao, et al., 2011: Water body extraction methods study based on RS and GIS. Procedia Environ. Sci., 10, 2619–2624. doi: 10.1016/j.proenv.2011.09.407
[22] Yang, P. G., J. F. Hu, B. H. Yu, et al., 2013: Spatial and temporal characteristics of flood disaster in Asia–Pacific region. J. Shaanxi Norm. Univ. (Nat. Sci. Ed.), 41, 74–81. (in Chinese) doi: 10.3969/j.issn.1672-4291.2013.01.017
[23] Zhang, P., L. Zhu, S. H. Tang, et al., 2019: General comparison of FY-4A/AGRI with other GEO/LEO instruments and its potential and challenges in non-meteorological applications. Front. Earth Sci., 6, 224. doi: 10.3389/feart.2018.00224
[24] Zhou, C. H., 1993: Flood disaster surveillance and evaluation by remote sensing. Geogr. Res., 12, 63–68. (in Chinese)