{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T11:13:47Z","timestamp":1771758827999,"version":"3.50.1"},"reference-count":85,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,9,14]],"date-time":"2025-09-14T00:00:00Z","timestamp":1757808000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003329","name":"Gobierno de Espa\u00f1a Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003339","name":"CSIC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003339","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Ecological Informatics"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1016\/j.ecoinf.2025.103433","type":"journal-article","created":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T00:24:33Z","timestamp":1758068673000},"page":"103433","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"special_numbering":"C","title":["UAV imagery in natural disasters: Real-time damage assessment of flash flooding events"],"prefix":"10.1016","volume":"91","author":[{"given":"Alejandro","family":"Rom\u00e1n","sequence":"first","affiliation":[]},{"given":"Antonio","family":"Tovar-S\u00e1nchez","sequence":"additional","affiliation":[]},{"given":"Marcos","family":"Larrad","sequence":"additional","affiliation":[]},{"given":"Francisco Jos\u00e9","family":"Rubiano-S\u00e1nchez","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Manuel","family":"Zafra","sequence":"additional","affiliation":[]},{"given":"Rafael","family":"Pi\u00f1eiro","sequence":"additional","affiliation":[]},{"given":"\u00c1ngel","family":"Castillo","sequence":"additional","affiliation":[]},{"given":"F\u00e9lix Antonio","family":"L\u00f3pez","sequence":"additional","affiliation":[]},{"given":"Ana Luc\u00eda","family":"Vela","sequence":"additional","affiliation":[]},{"given":"Ana","family":"Allende","sequence":"additional","affiliation":[]},{"given":"Gloria","family":"S\u00e1nchez","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Mart\u00ednez-Alonso","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Samper","sequence":"additional","affiliation":[]},{"given":"Juan Carlos","family":"Garc\u00eda-Davalillo","sequence":"additional","affiliation":[]},{"given":"In\u00e9s","family":"Galindo","sequence":"additional","affiliation":[]},{"given":"Gabriel","family":"Navarro","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ecoinf.2025.103433_bb0005","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.atmosres.2013.11.002","article-title":"Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks","volume":"138","author":"Abbot","year":"2014","journal-title":"Atmos. Res."},{"issue":"3","key":"10.1016\/j.ecoinf.2025.103433_bb0010","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1109\/TEM.2019.2949479","article-title":"The employment of unmanned aerial vehicles for analyzing and mitigating disaster risks in industrial sites","volume":"67","author":"Aiello","year":"2020","journal-title":"IEEE Trans. Eng. Manag."},{"issue":"13","key":"10.1016\/j.ecoinf.2025.103433_bb0015","doi-asserted-by":"crossref","first-page":"4598","DOI":"10.3390\/s21134598","article-title":"A sustainable early warning system using rolling forecasts based on ANN and Golden ratio optimization methods to accurately predict real-time water levels and flash flood","volume":"21","author":"Alasali","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0020","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1002\/2016EF000485","article-title":"Global projections of river flood risk in a warmer world","volume":"5","author":"Alfieri","year":"2017","journal-title":"Earth\u2019s Future"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.cosrev.2023.100614","article-title":"Deep learning for unmanned aerial vehicles detection: a review","volume":"51","author":"Al-lQubaydhi","year":"2024","journal-title":"Comput. Sci. Rev."},{"issue":"1","key":"10.1016\/j.ecoinf.2025.103433_bb0030","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S0198-9715(01)00010-2","article-title":"A real-time hydrological model for flood prediction using GIS and the WWW","volume":"27","author":"Al-Sabhan","year":"2003","journal-title":"Comput. Environ. Urban. Syst."},{"issue":"13","key":"10.1016\/j.ecoinf.2025.103433_bb0035","doi-asserted-by":"crossref","first-page":"3885","DOI":"10.3390\/s25133885","article-title":"Development of a secured IoT-based flood monitoring and forecasting system using genetic-algorithm-based neuro-fuzzy network","volume":"25","author":"Arante","year":"2025","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0040","article-title":"Guide for selecting manning\u2019s roughness coefficients for natural channels and flood plains","volume":"38","author":"Arcement","year":"1989","journal-title":"USGS Number. Ser. Water Supply Paper"},{"issue":"1","key":"10.1016\/j.ecoinf.2025.103433_bb0045","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2166\/nh.2016.031","article-title":"Assessing long term flash flooding frequency using historical information","volume":"48","author":"Archer","year":"2017","journal-title":"Hydrol. Res."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0050","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jher.2021.10.002","article-title":"DEM resolution effects on machine learning performance for flood probability mapping","volume":"40","author":"Avand","year":"2022","journal-title":"J. Hydro Environ. Res."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0055","doi-asserted-by":"crossref","first-page":"7786","DOI":"10.1109\/ACCESS.2023.3349208","article-title":"A comprehensive survey on 5G-and-beyond networks with UAVs: applications, emerging technologies, regulatory aspects, research trends and challenges","volume":"12","author":"Banafaa","year":"2024","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.ecoinf.2025.103433_bb0060","doi-asserted-by":"crossref","first-page":"473","DOI":"10.11591\/eei.v13i1.5305","article-title":"Developing a model for unmanned aerial vehicle with fixed-wing using 3D-map exploring rapidly random tree technique","volume":"13","author":"Bashi","year":"2024","journal-title":"Bull. Electr. Eng. Inform."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2022.128975","article-title":"Developing reliable urban flood hazard mapping from LiDAR data","volume":"617","author":"Bodoque","year":"2023","journal-title":"J. Hydrol."},{"issue":"2","key":"10.1016\/j.ecoinf.2025.103433_bb0070","doi-asserted-by":"crossref","DOI":"10.1002\/wat2.1338","article-title":"Forensic analysis of flash flood response","volume":"6","author":"Borga","year":"2019","journal-title":"WIREs Water"},{"issue":"4","key":"10.1016\/j.ecoinf.2025.103433_bb0075","doi-asserted-by":"crossref","first-page":"265","DOI":"10.2166\/hydro.2004.0020","article-title":"Identification of support vector machines for runoff modelling","volume":"6","author":"Bray","year":"2004","journal-title":"J. Hydroinf."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0080","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.landurbplan.2011.10.009","article-title":"Flood risk assessment and mapping in peri-urban Mediterranean environments using hydrogeomorphology. Application to ephemeral streams in the Valencia region (eastern Spain)","volume":"104","author":"Camarasa-Belmonte","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0085","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.fm.2015.02.004","article-title":"Assessment of microbial risk factors and impact of meteorological conditions during production of baby spinach in the southeast of Spain","volume":"49","author":"Castro-Ib\u00e1\u00f1ez","year":"2015","journal-title":"Food Microbiol."},{"issue":"2","key":"10.1016\/j.ecoinf.2025.103433_bb0090","doi-asserted-by":"crossref","first-page":"1990","DOI":"10.1016\/j.asr.2024.10.047","article-title":"A machine learning-based approach for flash flood susceptibility mapping considering rainfall extremes in the northeast region of Bangladesh","volume":"75","author":"Chowdhury","year":"2025","journal-title":"Adv. Space Res."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0095","author":"Congedo"},{"issue":"1","key":"10.1016\/j.ecoinf.2025.103433_bb0100","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s11069-015-1606-0","article-title":"Flood mapping using LIDAR DEM. Limitations of the 1-D modelling highlighted by the 2-D approach","volume":"77","author":"Costabile","year":"2015","journal-title":"Nat. Hazards"},{"issue":"9","key":"10.1016\/j.ecoinf.2025.103433_bb0105","doi-asserted-by":"crossref","first-page":"1422","DOI":"10.3390\/rs12091422","article-title":"Using GIS, remote sensing, and machine learning to highlight the correlation between the land-use\/land-cover changes and flash-flood potential","volume":"12","author":"Costache","year":"2019","journal-title":"Remote Sens"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhazmat.2021.126691","article-title":"Remobilization of pollutants during extreme flood events poses severe risks to human and environmental health","volume":"421","author":"Crawford","year":"2022","journal-title":"J. Hazard. Mater."},{"issue":"50","key":"10.1016\/j.ecoinf.2025.103433_bb0115","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1175\/0065-9401-28.50.481","article-title":"Flash flood forecast and detection methods: severe convective storms","volume":"28","author":"Davis","year":"2001","journal-title":"AMS Meteorol. Monogr. Ser."},{"issue":"1","key":"10.1016\/j.ecoinf.2025.103433_bb0120","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1175\/JHM-400.1","article-title":"The catastrophic flash-flood event of 8-9 September 2002 in the Gard region, France: a first case study for the C\u00e9vennes-Vivarais Mediterranean Hydrometeorological observatory","volume":"6","author":"Delrieu","year":"2005","journal-title":"J. Hydrometeorol."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2020.125452","article-title":"Proposal of a flash flood impact severity scale for the classification and mapping of flash flood impacts","volume":"590","author":"Diakakis","year":"2020","journal-title":"J. Hydrol."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0130","article-title":"Quantifying the spatial pattern of urban expansion trends in the period 1987-2022 and identifying areas at risk of flooding due to the impact of urbanization in Lao Cai city","volume":"72","author":"Do","year":"2022","journal-title":"Eco. Inform."},{"issue":"12","key":"10.1016\/j.ecoinf.2025.103433_bb0135","doi-asserted-by":"crossref","first-page":"750","DOI":"10.3390\/drones8120750","article-title":"Drone-enabled AI edge computing and 5G communication network for real-time coastal litter detection","volume":"8","author":"Duangsuwan","year":"2024","journal-title":"Drones"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0140","author":"European Commission"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0145","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121473","article-title":"Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations","volume":"237","author":"Faiz","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0150","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1126\/science.aac7358","article-title":"Time for in situ renaissance","volume":"349","author":"Fekete","year":"2015","journal-title":"Science"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.envc.2022.100449","article-title":"Urban flash flood and extreme rainfall events trend analysis in Bamako, Mali","volume":"6","author":"Fofana","year":"2022","journal-title":"Environ. Challeng."},{"issue":"1\u20132","key":"10.1016\/j.ecoinf.2025.103433_bb0160","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.jhydrol.2008.12.028","article-title":"A compilation of data on European flash floods","volume":"367","author":"Gaume","year":"2009","journal-title":"J. Hydrol."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0165","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.jhydrol.2016.02.057","article-title":"Integrative neural networks models for stream assessment in restoration projects","volume":"536","author":"Gazendam","year":"2016","journal-title":"J. Hydrol."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0170","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.jhydrol.2016.04.041","article-title":"Regional flood frequency analysis using support vector regression under historical and future climate","volume":"538","author":"Gizaw","year":"2016","journal-title":"J. Hydrol."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0175","doi-asserted-by":"crossref","first-page":"69","DOI":"10.3390\/w8030069","article-title":"Support vector regression for rainfall-runoff modelling in urban drainage: a comparison with the EPA\u2019S storm water management model","volume":"8","author":"Granata","year":"2016","journal-title":"Water"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0180","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1002\/hyp.8040","article-title":"A review of advances in flash flood forecasting","volume":"25","author":"Hapuarachchi","year":"2011","journal-title":"Hydrol. Process."},{"issue":"1","key":"10.1016\/j.ecoinf.2025.103433_bb0185","doi-asserted-by":"crossref","first-page":"223","DOI":"10.3390\/rs14010223","article-title":"Flood detection using real-time image segmentation from unmanned aerial vehicles on edge-computing platform","volume":"14","author":"Hern\u00e1ndez","year":"2022","journal-title":"Remote Sens"},{"issue":"2","key":"10.1016\/j.ecoinf.2025.103433_bb0190","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/S0034-4257(02)00114-1","article-title":"An evaluation of LIDAR- and IFSAR-derived digital elevation models in leaf-on conditions with USGS level 1 and level 2 DEMs","volume":"84","author":"Hodgson","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.tre.2023.103314","article-title":"Towards sustainable UAV operations: balancing economic optimization with environmental and social considerations in path planning","volume":"181","author":"Hu","year":"2024","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0200","article-title":"Towards an ecological informatics scholarship that is reflective, repeatable, transparent, and sharable!","volume":"76","author":"Huettmann","year":"2023","journal-title":"Eco. Inform."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0205","series-title":"Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change","first-page":"3056","author":"IPCC","year":"2022"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0210","doi-asserted-by":"crossref","DOI":"10.1016\/j.envc.2023.100833","article-title":"Local-scale flash flood susceptibility assessment in northeastern Bangladesh using machine learning algorithms","volume":"14","author":"Islam","year":"2024","journal-title":"Environ. Challeng."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121795","article-title":"Two-layer intelligent deployment of capsule airports and unmanned aerial vehicles for providing emergency communication services","volume":"238","author":"Jin","year":"2024","journal-title":"Expert Syst. Appl."},{"issue":"10","key":"10.1016\/j.ecoinf.2025.103433_bb0220","article-title":"Comparison of the damaged area caused by an agricultural dam-break flood waver using HEC-RAS and UAV surveying","volume":"8","author":"Jung","year":"2017","journal-title":"Agric. Sci."},{"issue":"4","key":"10.1016\/j.ecoinf.2025.103433_bb0225","doi-asserted-by":"crossref","DOI":"10.1111\/jfr3.12622","article-title":"The use of unmanned aerial vehicles in flood hazard assessment","volume":"13","author":"Karamuz","year":"2020","journal-title":"J. Flood Risk Manage."},{"issue":"25","key":"10.1016\/j.ecoinf.2025.103433_bb0230","doi-asserted-by":"crossref","first-page":"4920","DOI":"10.1002\/hyp.13913","article-title":"An integrated approach of flash flood analysis in ungauged Mediterranean watersheds using post-flood surveys and unmanned aerial vehicles","volume":"34","author":"Kastridis","year":"2020","journal-title":"Hydrol. Process."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0235","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.oceaneng.2016.06.017","article-title":"A real-time forecast model using artificial neural network for after-runner storm surges on the Tottori coast, Japan","volume":"122","author":"Kim","year":"2016","journal-title":"Ocean Eng."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0240","doi-asserted-by":"crossref","first-page":"3223","DOI":"10.1007\/s00024-018-1874-1","article-title":"Detection and mapping of the geomorphic effects of flooding using UAV photogrammetry","volume":"175","author":"Langhammer","year":"2018","journal-title":"Pure Appl. Geophys."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0245","doi-asserted-by":"crossref","first-page":"929","DOI":"10.5194\/isprs-archives-XLII-3-929-2018","article-title":"Building damage extraction triggered by earthquake using the UAV imagery","volume":"XLII-3","author":"Li","year":"2018","journal-title":"Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0250","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1007\/s11269-021-02783-w","article-title":"Application of LiDAR UAV for high-resolution flood modelling","volume":"35","author":"Li","year":"2021","journal-title":"Water Resour. Manag."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0255","doi-asserted-by":"crossref","DOI":"10.1088\/1742-6596\/1746\/1\/012012","article-title":"Application and typical case of unmanned aerial vehicles combined with building 3D modeling","volume":"1746","author":"Li","year":"2021","journal-title":"J. Phys. Conf. Ser."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0260","article-title":"Extraction and mapping of component information of ancient buildings in Huizhou based on UAV technology","volume":"66","author":"Liu","year":"2021","journal-title":"Eco. Inform."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0265","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1016\/j.scitotenv.2017.05.260","article-title":"Lessons learned from Khartoum flash flood impacts: an integrated assessment","volume":"601-602","author":"Mahmood","year":"2017","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0270","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.jhydrol.2010.07.017","article-title":"Characterisation of selected extreme flash floods in Europe and implications for flood risk management","volume":"394","author":"Marchi","year":"2010","journal-title":"J. Hydrol."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0275","doi-asserted-by":"crossref","first-page":"1536","DOI":"10.3390\/w10111536","article-title":"Flood prediction using machine learning models: literature review","volume":"10","author":"Mosavi","year":"2018","journal-title":"Water"},{"issue":"5","key":"10.1016\/j.ecoinf.2025.103433_bb0280","doi-asserted-by":"crossref","first-page":"748","DOI":"10.2166\/nh.2012.217","article-title":"WaterWorld: a self-parameterising, physically based model for application in data-poor but problem-rich environments globally","volume":"44","author":"Mulligan","year":"2013","journal-title":"Hydrol. Res."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0285","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-97804-4","article-title":"Model-based analysis of multi-UAV path planning for surveying postdisaster building damage","volume":"11","author":"Nagasawa","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0290","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1007\/s00704-013-0867-3","article-title":"Prediction of extreme rainfall event using weather pattern recognition and support vector machine classifier","volume":"114","author":"Nayak","year":"2013","journal-title":"Theor. Appl. Climatol."},{"issue":"4","key":"10.1016\/j.ecoinf.2025.103433_bb0295","doi-asserted-by":"crossref","DOI":"10.1029\/2004WR003562","article-title":"Short-term flood-forecasting with a neurofuzzy model","volume":"41","author":"Nayak","year":"2005","journal-title":"Water Resour. Res."},{"issue":"3","key":"10.1016\/j.ecoinf.2025.103433_bb0300","doi-asserted-by":"crossref","first-page":"287","DOI":"10.3390\/rs11030287","article-title":"Towards real-time building damage mapping with low-cost UAV solutions","volume":"11","author":"Nex","year":"2019","journal-title":"Remote Sens"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0305","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2023.102427","article-title":"Flood inundation assessment of UNESCO world heritage sites using remote sensing and spatial metrics in hoi an City, Vietnam","volume":"79","author":"Nguyen","year":"2024","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0315","doi-asserted-by":"crossref","first-page":"15891","DOI":"10.1038\/s41598-024-66743-1","article-title":"Flood risk assessment of the Garita River in the urban zone of san Luis Potos\u00ed City, by hydrodynamic modelling","volume":"14","author":"Onchi-Ramos","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0320","doi-asserted-by":"crossref","DOI":"10.1016\/j.techsoc.2025.102894","article-title":"Drivers and barriers of unmanned aerial vehicles in emergency logistics operations","volume":"82","author":"Ozbiltekin-Pala","year":"2025","journal-title":"Technol. Soc."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0325","doi-asserted-by":"crossref","first-page":"1985","DOI":"10.1038\/s41467-018-04253-1","article-title":"Trends in flood losses in Europe over the past 150 years","volume":"9","author":"Paprotny","year":"2018","journal-title":"Nat. Commun."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0330","doi-asserted-by":"crossref","DOI":"10.1016\/j.envpol.2024.125518","article-title":"Fluvial flooding and plastic pollution \u2013 the delivery of potential human pathogenic bacteria into agricultural fields","volume":"366","author":"Pow","year":"2025","journal-title":"Environ. Pollut."},{"issue":"3","key":"10.1016\/j.ecoinf.2025.103433_bb0335","doi-asserted-by":"crossref","first-page":"364","DOI":"10.3390\/w13030364","article-title":"Potential dam breach analysis and flood wave risk assessment using HEC-RAS and remote sensing data: a multicriteria approach","volume":"13","author":"Psomiadis","year":"2021","journal-title":"Water"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0340","doi-asserted-by":"crossref","DOI":"10.3389\/fpls.2023.1152419","article-title":"Microplastics in agriculture \u2013 a potential novel mechanism for the delivery of human pathogens onto crops","volume":"14","author":"Quilliam","year":"2023","journal-title":"Front. Plant Sci."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0345","doi-asserted-by":"crossref","DOI":"10.1016\/j.pce.2024.103675","article-title":"UAV-based DEM augmentation using ConSinGAN for efficient flood parameter prediction with machine learning and 1D hydrodynamic models","volume":"135","author":"Rana","year":"2024","journal-title":"Phys. Chem. Earth"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0350","doi-asserted-by":"crossref","DOI":"10.1016\/j.envc.2024.101029","article-title":"Flash flood prediction modeling in the hilly regions of southeastern Bangladesh: a machine learning attempt on present and future climate scenarios","volume":"17","author":"Rifath","year":"2024","journal-title":"Environ. Challeng."},{"issue":"17","key":"10.1016\/j.ecoinf.2025.103433_bb0355","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph191710754","article-title":"Possibilities of using UAVs in pre-hospital security for medical emergencies","volume":"19","author":"Robakowska","year":"2022","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0360","author":"Roboflow Inc"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0365","article-title":"A review of flash-floods management: from hydrological modeling to crisis management","volume":"e12999","author":"Sadkou","year":"2024","journal-title":"J. Flood Risk Manage."},{"issue":"4","key":"10.1016\/j.ecoinf.2025.103433_bb0370","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1080\/02626660009492354","article-title":"A hybrid multi-model approach to river level forecasting","volume":"45","author":"See","year":"2000","journal-title":"Hydrol. Sci. J."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0375","first-page":"2232","article-title":"The influence of flash floods on the limnology of the Albufera of Valencia lagoon","volume":"27","author":"Soria","year":"2000","journal-title":"Verhandl. Int. Verein Limnol."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0380","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/srep36021","article-title":"Global-scale river flood vulnerability in the last 50 years","volume":"6","author":"Tanoue","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0385","series-title":"The Nature of Statistical Learning Theory","author":"Vapnick","year":"1995"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0390","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.isprsjprs.2017.03.001","article-title":"Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning","volume":"140","author":"Vetrivel","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0395","series-title":"Estudio de Evaluaci\u00f3n de la Calidad de las Aguas del Barranco del Poyo (Valencia)","author":"Vicente Ferrer","year":"2014"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0400","article-title":"A driving force analysis method for drought-flood abrupt alternation events","volume":"90","author":"Wang","year":"2025","journal-title":"Eco. Inform."},{"issue":"8","key":"10.1016\/j.ecoinf.2025.103433_bb0405","doi-asserted-by":"crossref","first-page":"158","DOI":"10.3390\/hydrology10080158","article-title":"Flood inundation and depth mapping using unmanned aerial vehicles combined with high-resolution multispectral imagery","volume":"10","author":"Wienhold","year":"2023","journal-title":"Hydrology"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0410","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1186\/s12302-024-00860-6","article-title":"Evaluation of the high-energy flood of mid-July 2021 as a morphologic driver in the anthropogenically developed Ahr Valley, Germany, in interaction with infrastructures","volume":"36","author":"Wolf","year":"2024","journal-title":"Environ. Sci. Eur."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0415","doi-asserted-by":"crossref","first-page":"51353","DOI":"10.1007\/s11356-024-34491-4","article-title":"Survival and transfer potential of salmonella enterica serovar typhimurium colonising polyethylene microplastics in contaminated agricultural soils","volume":"31","author":"Woodford","year":"2024","journal-title":"Environ. Sci. Pollut. Res."},{"key":"10.1016\/j.ecoinf.2025.103433_bb0420","doi-asserted-by":"crossref","DOI":"10.1029\/2023WR036739","article-title":"Simulation of the full-process dynamics of floating vehicles driven by flash floods","volume":"60","author":"Xiong","year":"2024","journal-title":"Water Resour. Res."},{"issue":"4","key":"10.1016\/j.ecoinf.2025.103433_bb0425","doi-asserted-by":"crossref","first-page":"68","DOI":"10.3390\/drones4040068","article-title":"Shortrange transportation using unmanned aerial vehicles (UAVs) during disasters in Japan","volume":"4","author":"Yakushiji","year":"2020","journal-title":"Drones"},{"key":"10.1016\/j.ecoinf.2025.103433_bb0430","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.107513","article-title":"Deep learning-based object detection in maritime unmanned aerial vehicle imagery: review and experimental comparisons","volume":"128","author":"Zhao","year":"2024","journal-title":"Eng. Appl. Artif. Intell."}],"container-title":["Ecological Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S157495412500442X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S157495412500442X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T22:36:09Z","timestamp":1762382169000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S157495412500442X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":85,"alternative-id":["S157495412500442X"],"URL":"https:\/\/doi.org\/10.1016\/j.ecoinf.2025.103433","relation":{},"ISSN":["1574-9541"],"issn-type":[{"value":"1574-9541","type":"print"}],"subject":[],"published":{"date-parts":[[2025,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"UAV imagery in natural disasters: Real-time damage assessment of flash flooding events","name":"articletitle","label":"Article Title"},{"value":"Ecological Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ecoinf.2025.103433","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"103433"}}