1 |
Hirpa F, Pappenberger F, Arnal L, et al. Global flood forecasting for averting disasters worldwide[J]. Global Flood Hazard, 2018: 205-228.DOI: 10.1002/9781119217886.ch12 .
doi: 10.1002/9781119217886.ch12
|
2 |
Qiu J, Cao B, Park E, et al. Flood monitoring in rural areas of the Pearl River Basin (China) using Sentinel-1 SAR[J]. Remote Sensing,2021,13(7):1384. DOI:10.3390/rs13071384 .
doi: 10.3390/rs13071384
|
3 |
The Ministry of Water Resources of People's Republic of China. 2006 China Flood and Drought Disaster Bulletin[R]. Bulletin of the Ministry of Water Resources of the People's Republic of China, 2008(1):11-26.
|
3 |
中华人民共和国水利部.2006年中国水旱灾害公报[R]. 中华人民共和国水利部公报, 2008(1): 11-26.
|
4 |
The Ministry of Water Resources of People's Republic of China. 2008 China Flood and Drought Disaster Bulletin[R]. Bulletin of the Ministry of Water Resources of the People's Republic of China,2009(4):2-20.
|
4 |
中华人民共和国水利部.2008年中国水旱灾害公报[R]. 中华人民共和国水利部公报,2009(4):2-20.
|
5 |
The Ministry of Water Resources of People's Republic of China. 2007 China Flood and Drought Disaster Bulletin[R]. Bulletin of the Ministry of Water Resources of the people's Republic of China, 2009(1):22-37.中华人民共和国水利部.2007年中国水旱灾害公报[R]. 中华人民共和国水利部公报, 2009(1):22-37.
|
6 |
The Ministry of Water Resources of People's Republic of China. China Flood and Drought Disaster Bulletin 2010[R]. China Flood Control and Drought Relief, 2011,21(4):3.
|
6 |
中华人民共和国水利部.《中国水旱灾害公报2010》发布公告[R]. 中国防汛抗旱, 2011,21(4):3.
|
7 |
The Ministry of Water Resources of People's Republic of China. 2009 China Flood and Drought Disaster Bulletin[R]. Bulletin of the Ministry of Water Resources of the People's Republic of China, 2011(1):14-30.
|
7 |
中华人民共和国水利部.2009年中国水旱灾害公报[R]. 中华人民共和国水利部公报,2011(1):14-30.
|
8 |
Klemas V. Remote sensing of floods and flood-prone areas: An overview[J]. Journal of Coastal Research, 2014, 31(4): 1005-1013.DOI: 10.2112/JCOASTRES-D-14-00160.1 .
doi: 10.2112/JCOASTRES-D-14-00160.1
|
9 |
Schumann G J, Brakenridge G R, Kettner A J, et al. Assisting flood disaster response with earth observation data and products: a critical assessment[J]. Remote Sensing, 2018, 10(8): 1230.DOI: 10.3390/rs10081230 .
doi: 10.3390/rs10081230
|
10 |
Feyisa G L, Meilby H, Fensholt R, et al. Automated water extraction index: a new technique for surface water mapping using Landsat imagery[J]. Remote Sensing of Environment, 2014, 140: 23-35. DOI: 10.1016/j.rse.2013.08.029 .
doi: 10.1016/j.rse.2013.08.029
|
11 |
Anusha N, Bharathi B. Flood detection and flood mapping using multi-temporal synthetic aperture radar and optical data[J]. The Egyptian Journal of Remote Sensing and Space Science,2020,23(2):207-219.DOI: 10.1016/j.ejrs.2019.01.001 .
doi: 10.1016/j.ejrs.2019.01.001
|
12 |
Alsdorf D E, Roeríguez E, Lettenmaier D P. Measuring surface water from space[J]. Reviews of Geophysics, 2007, 45(2).DOI: 10.1029/2006RG000197 .
doi: 10.1029/2006RG000197
|
13 |
Schlaffer S, Matgen P, Hollaus M, et al. Flood detection from multi-temporal SAR data using harmonic analysis and change detection[J]. International Journal of Applied Earth Observation and Geoinformation,2015,38:15-24. DOI:10.1016/j.jag.2014.12.001 .
doi: 10.1016/j.jag.2014.12.001
|
14 |
Kaplan G, Avdan U. Sentinel-1 and Sentinel-2 data fusion for wetlands mapping: Balikdami,Turkey[J]. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences,2018,42(3):729-734. DOI:10.5194/isprs-archives-XLII-3-729-2018 .
doi: 10.5194/isprs-archives-XLII-3-729-2018
|
15 |
Singha M, Dong J, Sarmah S, et al. Identifying floods and flood-affected paddy rice fields in bangladesh based on Sentinel-1 imagery and Google Earth Engine[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 166: 278-293. DOI: 10.1016/j.isprsjprs.2020.06.011 .
doi: 10.1016/j.isprsjprs.2020.06.011
|
16 |
Kuntla S. An era of Sentinels in flood management: potential of Sentinel-1, -2, and -3 satellites for effective flood management[J]. Open Geosciences, 2021, 13: 1616-1642. DOI: 10.1515//geo-2020-0325 .
doi: 10.1515//geo-2020-0325
|
17 |
Landuyt L, Wesemael A V, Schumann G J, et al. Flood mapping based on synthetic aperture radar: An assessment of established approaches[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(2): 722-739. DOI: 10.1109/TGRS.2018.2860054 .
doi: 10.1109/TGRS.2018.2860054
|
18 |
Cian F, Marconcini M, Ceccato P. Normalized difference flood index for rapid flood mapping: taking advantage of EO Big Data[J]. Remote Sensing of Environment, 2018, 209: 712-730. DOI: 10.1016/j.rse.2018.03.006 .
doi: 10.1016/j.rse.2018.03.006
|
19 |
Clement M A, Kilsby C G, Moore P. Multi-temporal synthetic aperture radar flood mapping using change detection[J]. Journal of Flood Risk Management, 2018, 11(2): 152-168. DOI: 10.1016/j.ejrs.2019.01.001 .
doi: 10.1016/j.ejrs.2019.01.001
|
20 |
Huang W, Devries B, Huang C, et al. Automated extraction of surface water extent from Sentinel-1 data[J]. Remote Sensing, 2018, 10(5):10050797. DOI: 10.3390/rs10050797 .
doi: 10.3390/rs10050797
|
21 |
Cao H, Zhang H, Wang C, et al. Operational flood detection using Sentinel-1 SAR data over large areas[J]. Water, 2019, 11(4):786. DOI: 10.3390/w11040786 .
doi: 10.3390/w11040786
|
22 |
Moharrami M, Javanbakht M, Attarchi S. Automatic flood detection using Sentinel-1 images on the Google Earth Engine[J]. Environmental Monitoring and Assessment, 2021, 193(5): 248.DOI: 10.1007/s10661-021-09037-7 .
doi: 10.1007/s10661-021-09037-7
|
23 |
Mudi S, Prakash J, Das P. Flood hazard mapping in assam using Sentinel-1 SAR data[M]. 2022: 459-473. DOI: 10.1007/978-3-030-75197-5_20 .
doi: 10.1007/978-3-030-75197-5_20
|
24 |
Dasgupta A, Grimaldi S, Ramsankaran R A A J, et al. Towards operational SAR-based flood mapping using neuro-fuzzy texture-based approaches[J]. Remote Sensing of Environment,2018,215:313-329.DOI:10.1016/j.rse.2018.06.019 .
doi: 10.1016/j.rse.2018.06.019
|
25 |
Sharifi A. Development of a method for flood detection based on Sentinel‐1 images and classifier algorithms[J]. Water and Environment Journal, 2021, 35(3):924-929. DOI: 10.1111/wej.12681 .
doi: 10.1111/wej.12681
|
26 |
Kumar G, Kumar S, Ahmad S. Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2021,180:163-173. DOI:10.1016/j.isprsjprs.2021. 08.016 .
doi: 10.1016/j.isprsjprs.2021. 08.016
|
27 |
Li S, Sun D, Goldberg M D, et al. Automatic near real-time flood detection using Suomi-NPP/VIIRS data[J]. Remote Sensing of Environment,2018,204:672-689. DOI: 10.1016/j.rse.2017.09.032 .
doi: 10.1016/j.rse.2017.09.032
|
28 |
Panteras G, Cervone G. Enhancing the temporal resolution of Satellite-based flood extent generation using crowdsourced data for disaster monitoring[J]. International Journal of Remote Sensing,2018,39(5):1459-1474. DOI:10.1080/01431161. 2017.1400193 .
doi: 10.1080/01431161. 2017.1400193
|
29 |
Xu Hanzeyu, Liu Chong, Wang Junbang, et al. Remote sensing extraction of citrus orchards in Southern Jiangxi supported by Google Earth Engine Platform[J]. Journal of Earth Information Science, 2018, 20(3): 396-404.
|
29 |
徐晗泽宇, 刘冲, 王军邦,等. Google Earth Engine平台支持下的赣南柑橘果园遥感提取研究[J]. 地球信息科学学报, 2018, 20(3): 396-404.
|
30 |
Martinis S, Twele A, Voigt S. Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data[J]. Natural Hazards and Earth System Sciences,2009,9(2):303-314. DOI: 10.5194/nhess-9-303-2009 .
doi: 10.5194/nhess-9-303-2009
|
31 |
Li X, Wang X, Shao W, et al. Forecast of flood in Chaohu Lake Basin of China based on Grey-Markov theory[J]. Chinese Geographical Science,2007,17(1):64-68.DOI:10.1007/s11769-007-0064-3 .
doi: 10.1007/s11769-007-0064-3
|
32 |
Shi Wenyu. Study on flood and drought disasters in Chaohu Lake Basin since 600 years[D]. Shanghai:Shanghai Normal University, 2011.施汶妤. 600年以来巢湖流域水旱灾害研究[D].上海:上海师范大学, 2011.
|
33 |
Hao Dandan. Flood disaster risk assessment and scenario analysis in Chaohu Lake Basin[D]. Wuhu: Anhui Normal University, 2014.
|
33 |
郝丹丹. 巢湖流域洪水灾害风险评价与情景分析[D]. 芜湖: 安徽师范大学, 2014.
|
34 |
Shi Zhengbao. Study on urban flood control in Chaohu city, Anhui province[J]. Water Conservancy Planning and Design, 2014(9):1-4,51.
doi: 10.3969/j.issn.1672-2469.2014.09.001
|
34 |
石正宝. 安徽省巢湖市城市防洪研究[J]. 水利规划与设计,2014(9):1-4,51. DOI:10.3969/j.issn.1672-2469.2014.09.001 .
doi: 10.3969/j.issn.1672-2469.2014.09.001
|
35 |
Wan Nengsheng, Qi Pengyun. Practice and thinking on the response to the catastrophic flood disaster in Chaohu Lake Basin in 2020[J]. China Flood Control and Drought Relief, 2021, 31(4): 37-41.
|
35 |
万能胜, 齐鹏云. 巢湖流域2020年特大洪涝灾害应对实践与思考[J]. 中国防汛抗旱, 2021,31(4):37-41.
|
36 |
Xie Meichao. Flood analysis of Chaohu Lake Basin in 2020[J]. Journal of Anhui Water Resources and Hydropower Vocational and Technical College, 2021, 21(2):7-10,22.
|
36 |
谢每超. 巢湖流域2020年洪水分析[J]. 安徽水利水电职业技术学院学报,2021,21(2):7-10,22.
|
37 |
Qi Guohua, Ma Xiaoshuang, He Shiyu, et al. Analysis of temporal and spatial variation of water bloom length in Chaohu Lake (2009-2018) and prediction of occurrence probability based on multi-source remote sensing data[J]. Lake Science, 2021,33(2):414-427.
|
37 |
祁国华, 马晓双, 何诗瑜,等. 基于多源遥感数据的巢湖水华长时序时空变化(2009~2018年)分析与发生概率预测[J]. 湖泊科学,2021,33(2):414-427.]
|
38 |
Jun Lü. Research on flood disaster risk assessment and Risk management based on cloud model[D]. Wuhu:Anhui Normal University, 2019.
|
38 |
吕军. 基于云模型的洪涝灾害风险评价与风险管理研究[D]. 芜湖: 安徽师范大学, 2019.
|
39 |
Zhang Pingping. Study on security evaluation and safeguard measures of cultivated land resources in Wanjiang Urban belt based on food security[D]. Wuhu: Anhui Normal University, 2011.
|
39 |
张平平. 基于粮食安全的皖江城市带耕地资源安全评价及保障措施研究[D]. 芜湖: 安徽师范大学, 2011.
|
40 |
Yang Fubao, Wang Guohan. Analysis of flood control situation and control countermeasures in Chaohu Lake Basin[J]. Water conservancy planning and design,2018(7):33-36.
|
40 |
杨富宝, 王国汉. 巢湖流域防洪形势与治理对策分析[J]. 水利规划与设计,2018(7):33-36.]
|
41 |
Torres R, Snoeij P, Geudtner D, et al. GMES Sentinel-1 mission[J]. Remote Sensing of Environment, 2012, 120: 9-24.DOI:10.1016/j.rse.2011.05.028 .
doi: 10.1016/j.rse.2011.05.028
|
42 |
Pickens A H, Hansen M C, Hancher M, et al. Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full landsat time-series[J]. Remote Sensing of Environment,2020,243:111792. DOI:10.1016/j.rse.2020. 111792 .
doi: 10.1016/j.rse.2020. 111792
|
43 |
Qi Caimei. Atlas of land cover of the People's Republic of China (1:1 Million) officially published[J]. Geological and mineral mapping, 2017,33(4):50.
doi: 10.16864/j.cnki.dkch.2017.0067
|
43 |
祁彩梅. 《中华人民共和国土地覆被地图集》(1∶100万)正式出版[J]. 地矿测绘,2017,33(4):50. DOI:10.16864/j.cnki.dkch.2017.0067 .
doi: 10.16864/j.cnki.dkch.2017.0067
|
44 |
REVILLA-ROMERO B, Hirpa F A, T-D Pozo J, et al. On the use of global flood forecasts and Satellite-Derived inundation maps for flood monitoring in data-sparse regions[J]. Remote Sensing, 2015, 7(11): 15702-15728.DOI: 10.3390/rs71115702. DOI: 10.3390/rs71115702 .
doi: 10.3390/rs71115702. DOI: 10.3390/rs71115702
|
45 |
Lee S U, Yoon Chung S, Park R H. A comparative performance study of several global thresholding techniques for segmentation[J]. Computer Vision, Graphics, and Image Processing, 1990, 52(2): 171-190. DOI: 10.1016/0734-189X(90)90053-X .
doi: 10.1016/0734-189X(90)90053-X
|
46 |
Jia Shichao, Xue Dongjian, Li Chengrao, et al. Research on water information extraction method based on Sentinel-1 data[J]. People's Yangtze River,2019,50(2):213-227.
|
46 |
贾诗超, 薛东剑, 李成绕,等. 基于Sentinel-1数据的水体信息提取方法研究[J]. 人民长江,2019,50(2):213-227.
|
47 |
Zhang Pan. Research on classifier selection integration method based on confusion matrix[D]. Jiaozuo:Henan University of Technology,2016.
|
47 |
张盼. 基于混淆矩阵的分类器选择集成方法研究[D]. 焦作: 河南理工大学, 2016.
|