1.Ajin, R., et al., Flood hazard assessment of Vamanapuram River basin, Kerala, India: an approach using remote sensing & GIS techniques. Advances in Applied Science Research, 2013. 4(3): p. 263-274.
2.AR., A.-A., et al., Assessment analysis of flood susceptibility in Tropical Desert area: a case study of Yemen. Remote Sensing, 2022. 14(16): p. 4050-4078.
3.Haq, M., et al., Techniques of remote sensing and GIS for flood monitoring and damage assessment: a case study of Sindh province, Pakistan. The Egyptian Journal of Remote Sensing and Space Science, 2012. 15(2): p. 135-141.
4.Isma'il, M. and I. Saanyol, Application of remote sensing (RS) and geographic information systems (GIS) in flood vulnerability mapping: case study of River Kaduna. International Journal of Geomatics and Geosciences, 2013. 3(3): p. 618-627.
5Kourgialas, N. and G. Karatzas, Flood management and a GIS modelling method to assess flood-hazard areas—a case study. Hydrological Sciences Journal–Journal des Sciences Hydrologiques, 2011. 56(2): p. 212-225.
6.Sinha, R., et al., Flood risk analysis in the Kosi River Basin, north Bihar using multi-parametric approach of analytical hierarchy process (AHP). Journal of the Indian Society of Remote Sensing, 2008. 36: p. 335-349.
7.Uddin, K., et al., Application of remote sensing and GIS for flood hazard management: a case study from Sindh Province, Pakistan. American Journal of Geographic Information System, 2013. 2(1): p. 1-5.
8.Youssef, A.M. and M.A. Hegab, Flood-hazard assessment modeling using multicriteria analysis and GIS: a case study—Ras Gharib Area, Egypt. Spatial modeling in GIS and RS for earth and environmental sciences, 2019. 1: p. 229-257.
9.Boroumandi, M., M. Khamehchiyan, and M. Nikoudel, Using of analytic hierarchy process for landslide hazard zonation in Zanjan province, Iran, in Engineering Geology for Society and Territory. 2015 Springer International Publishing: Berlin.
10.خیری زاده, م.، ملکی, ج.، عمونیا، ح. ، پهنه بندی پتانسیل خطر وقوع سیلاب در حوضه ی آبریز مردقچای با استفاده از مدل ANP. پژوهشهای ژئومورفولوژی کمّی، 1395. 1(3): ص.39-56.
11.چابک بلداجی، م.، حسن زاده نفوتی، م.، ابراهیمی خوسفی، ز.، مکانیابی عرصه پخش سیلاب با استفاده از روش تحلیل سلسله مراتبی (AHP) (مطالعه موردی حوزه آبخیز عشق آباد طبس). علوم و مهندسی آبخیزداری ایران، 1398. 4 (13): ص.31-38.
12.قنواتی، ع.، صفاری، ا.، بهشتی جاوید، ا.، منصوریان، ا. ، پهنه بندی پتانسیل سیل خیزی با استفاده از تلفیق مدل هیدرولوژیکی CN و AHP در محیط GIS مطالعه موردی: حوضه رودخانه بالخلو. جغرافیای طبیعی، 1393. 77(25): ص.6-80.
13.میرموسوی، س.ح.، اسمعیلی، ح.، پهنهبندی نواحی سیلخیز با استفاده از سامانه اطلاعات جغرافیایی (GIS) و سنجش از دور (RS)، مطالعه موردی: شهرستان داراب. مخاطرات محیط طبیعی، 1400. 10(27): ص.21-46.
14.ملکیان، آ.، افتادگان خوزانی، ا.، عشوری نژاد، غ.، پهنه بندی پتانسیل سیل خیزی حوزه ی آبخیز اخترآباد با استفاده از روش تحلیل سلسله مراتبی فازی. پژوهش های جغرافیای طبیعی، 1391. 44(4): ص. 131-152.
15.اکرمی مقدم، ب.، ایلخانی پور زینالی، ر.، نیک مهر، س.، پهنهبندی پتانسیل سیلگیری با استفاده از روش تحلیل سلسله مراتبی در استان کردستان. محیط زیست و مهندسی آب، 1403. 10(1): ص. 93-97.
16.حاتمی نژاد، آتش افروز، آروین، م.، پهنهبندی خطر سیل با استفاده از تحلیل چندمعیاره و GIS مطالعه موردی: شهرستان ایذه. فصلنامه علمی دانش پیشگیری و مدیریت بحران، 1396. 7(2): ص. 44-57.
17.حسن زاده نفوتی، م. و ح. خواجه بافقی، پهنه بندی خطر سیلاب با استفاده از سیستم تصمیم گیری چندمعیاره (مطالعه موردی: حوزه آبخیز شیطور بافق). پژوهشنامه مدیریت حوزه آبخیز، 1395. 7(14): ص.29-37.
18.حمیدی، ن.، وفاخواه، م.، نجفی، ا.، تهیه نقشه خطرپذیری سیلاب در حوزه آبخیز شهری نور با استفاده از تحلیل سلسله مراتبی و منطق فازی. پژوهشنامه مدیریت حوزه آبخیز، 1395. 7(14): ص.11-19.
19.Armenakis, C., et al., Flood risk assessment in urban areas based on spatial analytics and social factors. Geosciences, 2017. 7(4): p. 123-138.
20.Brandt, S., Modeling and visualizing uncertainties of flood boundary delineation: algorithm for slope and DEM resolution dependencies of 1D hydraulic models. Stochastic environmental research and risk assessment, 2016. 30(6): p. 1677-1690.
21.Chignell, S., et al., Multi-temporal independent component analysis and Landsat 8 for delineating maximum extent of the 2013 Colorado front range flood. Remote Sensing, 2015. 7(8): p. 9822-9843.
22.Costache, R., et al., Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and GIS techniques. Remote Sensing, 2019. 12(1): p. 15-31.
23.Courty, L., J. Soriano‐Monzalvo, and A. Pedrozo‐Acuña, Evaluation of open‐access global digital elevation models (AW3D30, SRTM, and ASTER) for flood modelling purposes. Journal of Flood Risk Management, 2019. 12: p. e12550.
24.Das, S., Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India. Arabian Journal of Geosciences, 2018. 11(19): p. 576-583.
25.Domeneghetti, A., On the use of SRTM and altimetry data for flood modeling in data‐sparse regions. 2016. Water Resources Research, 2016. 52(4): p. 2901-2918.
26.Ekeu-Wei, I. and G. Blackburn, Applications of open-access remotely sensed data for flood modelling and mapping in developing regions. Hydrology 2018. 5(3): p. 39-51.
27.Ho, L., M. Umitsu, and Y. Yamaguchi, Flood hazard mapping by satellite images and SRTM DEM in the Vu Gia–Thu Bon alluvial plain, Central Vietnam. International archives of the photogrammetry, remote sensing and spatial information science, 2010. 38(8): p. 275-280.
28.Ireland, G., M. Volpi, and G. Petropoulos, Examining the capability of supervised machine learning classifiers in extracting flooded areas from Landsat TM imagery: a case study from a Mediterranean flood. Remote sensing, 2015. 7(3): p. 3372-3399.
29.Jafarzadegan, K. and V. Merwade, A DEM-based approach for large-scale floodplain mapping in ungauged watersheds. Journal of Hydrology, 2017. 550: p. 650-662.
30.Kvočka, D., R. Falconer, and M. Bray, Appropriate model use for predicting elevations and inundation extent for extreme flood events. Natural Hazards, 2015. 79: p. 1791-1808.
31.Opolot, E., Application of remote sensing and geographical information systems in flood management: a review. Research Journal of Applied Science Engineering and Technology, 2013. 6: p. 1884–1894.
32.Patel, D. and P. Srivastava, Flood hazards mitigation analysis using remote sensing and GIS: correspondence with town planning scheme. Water resources management, 2013. 27(7): p. 2353-2368.
33.Rahman, M. and L. Di, The state of the art of spaceborne remote sensing in flood management. Natural Hazards, 2017. 85: p. 1223-1248.
34.Samansiri, S., T. Fernando, and B. Ingirige, Advanced technologies for offering situational intelligence in flood warning and response systems: A literature review. Water, 2022. 14(13): p. 2091-2112.
35.Shafapour Tehrany, M. and L. Kumar, The application of a Dempster–Shafer-based evidential belief function in flood susceptibility mapping and comparison with frequency ratio and logistic regression methods. Environmental earth sciences, 2018. 77: p. 1-24.
36.Shafapour Tehrany, M., B. Pradhan, and M. Jebur, Spatial prediction of flood susceptible areas using rule-based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. Journal of hydrology, 2013. 504: p. 69-79.
37.Shafapour Tehrany, M., et al., GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques. Geomatics, Natural Hazards and Risk, 2017. 8(2): p. 1538-1561.
38.Siddayao, G., S.E. Valdez, and P. Fernandez, Analytic hierarchy process (AHP) in spatial modeling for floodplain risk assessment. International Journal of Machine Learning and Computing, 2014. 1(5): p. 450-461.
39.SMJS., S., et al., Application of remote sensing and GIS for flood risk analysis: a case study at Kalu-Ganga River, Sri Lanka. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 2010. 38(8): p. 110-115.
40.Swain, K., C. Singha, and L. Nayak, Flood susceptibility mapping through the GIS-AHP technique using the cloud. ISPRS International Journal of Geo-Information, 2020. 9(12): p. 720-735.
41. V., M., A. Cook, and J. Coonrod, GIS techniques for creating river terrain models for hydrodynamic modeling and flood inundation mapping. Environmental Modelling & Software, 2008. 23(10-11): p. 1300-1311.
42.Wang, X. and H. Xie, A review on applications of remote sensing and geographic information systems (GIS) in water resources and flood risk management. Water 2018. 10(5): p. 608-618.
43.Yan, K., G. Di Baldassarre, and D. Solomatine, Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty Journal of hydroinformatics, 2013. 15(3): p. 849-861.
44.Yan, K., et al., Exploring the potential of SRTM topography and radar altimetry to support flood propagation modeling: Danube case study. Journal of Hydrologic Engineering, 2015. 20(2): p. 4041-4048.
45.Davenport, F., M. Burke, and N. Diffenbaugh, Contribution of historical precipitation change to US flood damages. Proceedings of the National Academy of Sciences, 2021. 118(4): p. 2017524118.
46.Bennett, B., et al., An empirical investigation into the effect of antecedent precipitation on flood volume. Journal of hydrology, 2018. 567: p. 435-450.
47.Powell, S., A. Jakeman, and B. Croke, Can NDVI response indicate the effective flood extent in macrophyte dominated floodplain wetlands? Ecological indicators, 2014. 45: p. 486-493.
48. O’Connor, J., G. Grant, and J. Costa, The geology and geography of floods. Ancient floods, modern hazards: Principles and applications of paleoflood hydrology, 2002. 5: p. 359-385.
49.Guo, X., et al., Failure process of a lateral slope deposit and its effect on debris flood formation. Bulletin of Engineering Geology and the Environment. Bulletin of Engineering Geology and the Environment, 2022. 81(8): p. 324-330.