[1] Tellman B, Sullivan J A, Kuhn C, et al. Satellite Imaging Reveals Increased Proportion of Population Exposed to Floods[J]. Nature, 2021, 596(7 870): 80-86
[2] 邱辉, 熊莹, 邢雯慧, 等. 2020年主汛期长江流域暴雨特征及成因分析[J]. 人民长江, 2020, 51 (12): 104-110 https://www.cnki.com.cn/Article/CJFDTOTAL-RIVE202012021.htm

Qiu Hui, Xiong Ying, Xing Wenhui, et al. Study on Characteristics and Causes of Rainstorm in Yang-tze River Basin During Major Flood Season in 2020 [J]. Yangtze River, 2020, 51(12): 104-110 https://www.cnki.com.cn/Article/CJFDTOTAL-RIVE202012021.htm
[3] Information Office of People's Government of Henan Province. The Tenth Press Conference on Fight Floods and Disaster Relief in Henan Province[EB/OL]. (2021-08-02)[2021-08-02]. https://www.henan.gov.cn/2021/08-02/2194036.html
[4] 谢萍, 张双喜, 周吕, 等. 武汉市中心城区地表形变与洪涝灾害防治新策略[J]. 武汉大学学报·信息科学版, 2021, 46 (7): 1 015-1 024 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202107006.htm

Xie Ping, Zhang Shuangxi, Zhou Lü, et al. Detec-tion of the Urban Surface Deformation and New Strategy for Flood Prevention in Wuhan Central Dis-trict[J]. Geomatics and Information Science of Wu-han University, 2021, 46(7): 1 015-1 024 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202107006.htm
[5] 黄平平, 段盈宏, 谭维贤, 等. 基于融合差异图的变化检测方法及其在洪灾中的应用[J]. 雷达学报, 2021, 10 (1): 143-158 https://www.cnki.com.cn/Article/CJFDTOTAL-LDAX202101012.htm

Huang Pingping, Duan Yinghong, Tan Weixian, et al. Change Detection Method Based on Fusion Dif-ference Map in Flood Disaster[J]. Journal of Ra-dars, 2021, 10(1): 143-158 https://www.cnki.com.cn/Article/CJFDTOTAL-LDAX202101012.htm
[6] 王志豪, 李刚, 蒋骁. 基于光学和SAR遥感图像融合的洪灾区域检测方法[J]. 雷达学报, 2020, 9 (3): 539-553 https://www.cnki.com.cn/Article/CJFDTOTAL-LDAX202003011.htm

Wang Zhihao, Li Gang, Jiang Xiao. Flooded Area Detection Method Based on Fusion of Optical and SAR Remote Sensing Images[J]. Journal of Ra-dars, 2020, 9(3): 539-553 https://www.cnki.com.cn/Article/CJFDTOTAL-LDAX202003011.htm
[7] 陈德清, 崔倩, 李磊, 等. 基于多源信息融合的业务化洪水遥感监测分析[J]. 中国防汛抗旱, 2021, 31 (4): 1-5 https://www.cnki.com.cn/Article/CJFDTOTAL-FHKH202104006.htm

Chen Deqing, Cui Qian, Li Lei, et al. Analysis of Operational Flood Remote Sensing Monitoring Based on Multi-source Information Integration[J]. China Flood and Drought Management, 2021, 31 (4): 1-5 https://www.cnki.com.cn/Article/CJFDTOTAL-FHKH202104006.htm
[8] 唐尧, 王立娟, 尹恒, 等. 基于"高分+" 的洪涝灾害应急指挥决策系统建设与应用[J]. 国土资源信息化, 2021 (2): 41-47 https://www.cnki.com.cn/Article/CJFDTOTAL-GTZX202102007.htm

Tang Yao, Wang Lijuan, Yin Heng, et al. Con-struction and Application of Flood Disaster Emergen-cy Decision Command Service System Based on "High Resolution+"[J]. Land and Resources Infor-matization, 2021(2): 41-47 https://www.cnki.com.cn/Article/CJFDTOTAL-GTZX202102007.htm
[9] 许小华, 黄萍, 黄诗峰, 等. 鄱阳湖洪涝灾害卫星雷达遥感应急监测应用[J]. 中国防汛抗旱, 2021, 31 (4): 10-14 https://www.cnki.com.cn/Article/CJFDTOTAL-FHKH202104008.htm

Xu Xiaohua, Huang Ping, Huang Shifeng, et al. Application of Satellite Radar Remote Sensing for Emergency Monitoring of Flood Disasters in Poyang Lake[J]. China Flood and Drought Management, 2021, 31(4): 10-14 https://www.cnki.com.cn/Article/CJFDTOTAL-FHKH202104008.htm
[10] 杜志强, 李钰, 张叶廷, 等. 自然灾害应急知识图谱构建方法研究[J]. 武汉大学学报·信息科学版, 2020, 45 (9): 1 344-1 355 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202009004.htm

Du Zhiqiang, Li Yu, Zhang Yeting, et al. Knowledge Graph Construction Method on Natural Disaster Emergency[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1 344-1 355 https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202009004.htm
[11] Feng W, Sui H, Huang W, et al. Water Body Extrac-tion from Very High-Resolution Remote Sensing Im -agery Using Deep U - Net and a Superpixel - Based Conditional Random Field Model[J]. IEEE Geoscien-ce and Remote Sensing Letters, 2019, 16 (4): 618-622 doi:  10.1109/LGRS.2018.2879492
[12] Puttinaovarat S, Khaimook K, Polnigongit W, et al. Robust Water Body Extraction from Landsat Imagery by Using Gradual Assignment of Water In-dex and DSM[C]//IEEE International Conference on Signal and Image Processing Applications, Kuala Lumpur, Malaysia, 2015
[13] Li S, Wang S, Zheng Z, et al. A New Algorithm for Water Information Extraction from High Resolution Remote Sensing Imagery[C]//International Confe-rence on Image Processing, Phoenix, USA, 2016
[14] Sui H, Xu C, Liu J, et al. A Novel Multi-scale Level Set Method for SAR Image Segmentation Based on a Statistical Model[J]. International Jour-nal of Remote Sensing, 2012, 33 (17): 5 600-5 614 doi:  10.1080/01431161.2012.666814
[15] Qu X, Gao F, Dong J, et al. Change Detection in Synthetic Aperture Radar Images Using a Dual-Do-main Network[J]. IEEE Geoscience and Remote Sensing Letters, 2021, DOI:10. 1109/LGRS. 2021. 3073900
[16] Zhao M, Sui H, Chen S, et al. BT-RoadNet: A Boundary and Topologically-Aware Neural Network for Road Extraction from High - Resolution Remote Sensing Imagery[J]. ISPRS Journal of Photogram-metry and Remote Sensing, 2020, 168: 288-306 doi:  10.1016/j.isprsjprs.2020.08.019
[17] Feng W, Sui H, Hua L, et al. Building Extraction from VHR Remote Sensing Imagery by Combining an Improved Deep Convolutional Encoder - Decoder Architecture and Historical Land Use Vector Map [J]. International Journal of Remote Sensing, 2020, 41 (17): 6 595-6 617 doi:  10.1080/01431161.2020.1742944
[18] 杨思全, 李素菊, 吴玮, 等. 高分三号卫星减灾行业应用能力分析[J]. 航天器工程, 2017, 26(6): 155-160 https://www.cnki.com.cn/Article/CJFDTOTAL-HTGC201706027.htm

Yang Siquan, Li Suju, Wu Wei, et al. Capacity Analysis of GF-3 Satellite on Disaster Management [J]. Spacecraft Engineering, 2017, 26(6): 155-160 https://www.cnki.com.cn/Article/CJFDTOTAL-HTGC201706027.htm