{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T14:12:55Z","timestamp":1788531175091,"version":"build-2803163510"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100011261","name":"Sichuan University State Key Laboratory of Hydraulics and Mountain River Engineering","doi-asserted-by":"publisher","award":["SKHL2406"],"award-info":[{"award-number":["SKHL2406"]}],"id":[{"id":"10.13039\/501100011261","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["8252007"],"award-info":[{"award-number":["8252007"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Water Research"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.watres.2026.126783","type":"journal-article","created":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T15:56:48Z","timestamp":1787759808000},"page":"126783","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["Mapping maximum floodwater footprints from sustained flood traces"],"prefix":"10.1016","volume":"308","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8083-5638","authenticated-orcid":false,"given":"Yiling","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6744-7291","authenticated-orcid":false,"given":"Xie","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0065-404X","authenticated-orcid":false,"given":"Xiekang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunxia","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.watres.2026.126783_bib0002","doi-asserted-by":"crossref","first-page":"895","DOI":"10.3390\/rs18060895","article-title":"TLE-FEDformer: a frequency-domain transformer framework for multi-sensor multi-temporal flood inundation mapping","volume":"18","author":"Ahmadi","year":"2026","journal-title":"Remote Sens."},{"issue":"6","key":"10.1016\/j.watres.2026.126783_bib0001","doi-asserted-by":"crossref","DOI":"10.1088\/2515-7620\/ade6d0","article-title":"A capsule network framework for flood mapping integrating remote sensing fusion techniques","volume":"7","author":"Ahmadi","year":"2025","journal-title":"Env. Res. Commun."},{"issue":"3","key":"10.1016\/j.watres.2026.126783_bib0003","doi-asserted-by":"crossref","first-page":"780","DOI":"10.3390\/geohazards5030039","article-title":"Global Landslide Finder: detecting the time and place of landslides with dense earth observation time series","volume":"5","author":"Aufaristama","year":"2024","journal-title":"GeoHazards"},{"issue":"2","key":"10.1016\/j.watres.2026.126783_bib0004","doi-asserted-by":"crossref","DOI":"10.1029\/2020WR028673","article-title":"Combined modeling of US fluvial, pluvial, and coastal flood hazard under current and future climates","volume":"57","author":"Bates","year":"2021","journal-title":"Water Resour. Res."},{"issue":"10","key":"10.1016\/j.watres.2026.126783_bib0005","doi-asserted-by":"crossref","DOI":"10.1029\/2023GL103042","article-title":"Extreme flood sediment production and export controlled by reach-scale morphology","volume":"50","author":"Baynes","year":"2023","journal-title":"Geophys. Res. Lett."},{"key":"10.1016\/j.watres.2026.126783_bib0006","doi-asserted-by":"crossref","first-page":"2023","DOI":"10.1109\/JSTARS.2022.3152127","article-title":"Sentinel-1-based water and flood Mapping: benchmarking convolutional neural networks against an operational rule-based processing chain","volume":"15","author":"Bereczky","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.watres.2026.126783_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2021.112808","article-title":"How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data","volume":"269","author":"Bofana","year":"2022","journal-title":"Remote Sens. Environ."},{"issue":"1","key":"10.1016\/j.watres.2026.126783_bib0008","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1038\/s41561-024-01596-x","article-title":"Erosional cascade during the 2021 Melamchi flood","volume":"18","author":"Chen","year":"2025","journal-title":"Nat. Geosci."},{"key":"10.1016\/j.watres.2026.126783_bib0009","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.agrformet.2019.02.002","article-title":"Remote-sensing disturbance detection index to identify spatio-temporal varying flood impact on crop production","volume":"269\u2013270","author":"Chen","year":"2019","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.watres.2026.126783_bib0010","article-title":"Automatic monitoring of surface water dynamics using Sentinel-1 and Sentinel-2 data with Google Earth Engine","volume":"113","author":"Chen","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"4","key":"10.1016\/j.watres.2026.126783_bib0011","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1038\/s41561-023-01163-w","article-title":"Blame the river not the rain","volume":"16","author":"David","year":"2023","journal-title":"Nat. Geosci."},{"key":"10.1016\/j.watres.2026.126783_bib0012","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.isprsjprs.2024.07.010","article-title":"A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series","volume":"215","author":"Deijns","year":"2024","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.watres.2026.126783_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2020.111664","article-title":"Rapid and robust monitoring of flood events using Sentinel-1 and landsat data on the google earth engine","volume":"240","author":"DeVries","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.watres.2026.126783_bib0014","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/j.isprsjprs.2025.11.011","article-title":"High-precision flood change detection with lightweight SAR transformer network and context-aware attention for enriched-diverse and complex flooding scenarios","volume":"231","author":"Du","year":"2026","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.watres.2026.126783_bib0015","series-title":"World Imagery Wayback [Basemap]","year":"2023"},{"key":"10.1016\/j.watres.2026.126783_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.agrformet.2026.111023","article-title":"Multi-source remote sensing of insect defoliation events in Abisko from point to regional scales","volume":"378","author":"Feng","year":"2026","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.watres.2026.126783_bib0017","article-title":"Time-series analysis of Sentinel-1\/2 data for flood detection using a discrete global grid system and seasonal decomposition","volume":"119","author":"Fichtner","year":"2023","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"1","key":"10.1016\/j.watres.2026.126783_bib0018","doi-asserted-by":"crossref","DOI":"10.1038\/sdata.2015.66","article-title":"The climate hazards infrared precipitation with stations\u2014a new environmental record for monitoring extremes","volume":"2","author":"Funk","year":"2015","journal-title":"Sci. Data"},{"issue":"3","key":"10.1016\/j.watres.2026.126783_bib0019","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI\u2014A normalized difference water index for remote sensing of vegetation liquid water from space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.watres.2026.126783_bib0020","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1038\/s43016-025-01179-y","article-title":"Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity","volume":"6","author":"Garcia-Vila","year":"2025","journal-title":"Nat. Food"},{"key":"10.1016\/j.watres.2026.126783_bib0021","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google earth engine: planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.watres.2026.126783_bib0022","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1016\/j.jhydrol.2017.02.041","article-title":"Changes in magnitude and frequency of heavy precipitation across China and its potential links to summer temperature","volume":"547","author":"Gu","year":"2017","journal-title":"J. Hydrol."},{"key":"10.1016\/j.watres.2026.126783_bib0023","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2023.3240097","article-title":"Fast flood extent monitoring with SAR change detection using google earth engine","volume":"61","author":"Hamidi","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"8","key":"10.1016\/j.watres.2026.126783_bib0024","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1038\/s41893-024-01375-x","article-title":"Threat of low-frequency high-intensity floods to global cropland and crop yields","volume":"7","author":"Han","year":"2024","journal-title":"Nat. Sustain."},{"key":"10.1016\/j.watres.2026.126783_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2025.132777","article-title":"Large-scale flood mapping using Sentinel-1 and Sentinel-2 imagery: spatio-temporal analysis of the 23\u00b77 Haihe basin-wide extreme flood","volume":"653","author":"Lan","year":"2025","journal-title":"J. Hydrol."},{"issue":"2","key":"10.1016\/j.watres.2026.126783_bib0026","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1109\/TGRS.2018.2860054","article-title":"Flood mapping based on synthetic aperture radar: an assessment of established approaches","volume":"57","author":"Landuyt","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.watres.2026.126783_bib0027","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.isprsjprs.2026.04.027","article-title":"Unsupervised anomaly localization with high-resolution and time-series satellite imagery: from global disaster dataset to zero-shot model via SAM","volume":"237","author":"Li","year":"2026","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.watres.2026.126783_bib0028","article-title":"TerrainFloodSense: improving seamless flood mapping with cloudy satellite imagery via water occurrence and terrain data fusion","volume":"144","author":"Li","year":"2025","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.watres.2026.126783_bib0029","doi-asserted-by":"crossref","DOI":"10.1029\/2025WR039992","article-title":"Quantifying the lifespan of 3D flood structures: unlocking the potential of flood detention areas for enhanced flood control in China","volume":"61","author":"Lin","year":"2025","journal-title":"Water Resour. Res."},{"issue":"3","key":"10.1016\/j.watres.2026.126783_bib0030","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1007\/s10346-024-02433-3","article-title":"Characterization and formation mechanism of the catastrophic flash flood-debris flow hazard triggered by the July 2023 extreme rainstorm in Hantai Gully of Beijing, China","volume":"22","author":"Ma","year":"2025","journal-title":"Landslides"},{"key":"10.1016\/j.watres.2026.126783_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2024.132045","article-title":"Using SAR imagery to extract flash flood sediment deposition area in the northern Loess Plateau","volume":"644","author":"Ma","year":"2024","journal-title":"J. Hydrol."},{"key":"10.1016\/j.watres.2026.126783_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2022.113077","article-title":"Towards a global seasonal and permanent reference water product from Sentinel-1\/2 data for improved flood mapping","volume":"278","author":"Martinis","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.watres.2026.126783_bib0033","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.isprsjprs.2014.07.014","article-title":"A fully automated TerraSAR-X based flood service","volume":"104","author":"Martinis","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.watres.2026.126783_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2022.113273","article-title":"A methodology for mapping annual flood extent using multi-temporal Sentinel-1 imagery","volume":"282","author":"McCormack","year":"2022","journal-title":"Remote Sens. Environ."},{"issue":"1","key":"10.1016\/j.watres.2026.126783_bib0035","doi-asserted-by":"crossref","first-page":"5762","DOI":"10.1038\/s41467-025-60973-1","article-title":"Mapping global floods with 10 years of satellite radar data","volume":"16","author":"Misra","year":"2025","journal-title":"Nat. Commun."},{"issue":"1","key":"10.1016\/j.watres.2026.126783_bib0036","doi-asserted-by":"crossref","first-page":"4191","DOI":"10.1038\/s41467-025-59261-9","article-title":"How extreme rainfall and failing dams unleashed the Derna flood disaster","volume":"16","author":"Nemnem","year":"2025","journal-title":"Nat. Commun."},{"issue":"1\u20132","key":"10.1016\/j.watres.2026.126783_bib0037","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.jhydrol.2011.03.051","article-title":"Height above the nearest drainage: a hydrologically relevant new terrain model","volume":"404","author":"Nobre","year":"2011","journal-title":"J. Hydrol."},{"key":"10.1016\/j.watres.2026.126783_bib0038","doi-asserted-by":"crossref","first-page":"6493","DOI":"10.1038\/s41467-024-49699-8","article-title":"Assessing flash flood erosion following Storm Daniel in Libya","volume":"15","author":"Normand","year":"2024","journal-title":"Nat. Commun."},{"key":"10.1016\/j.watres.2026.126783_bib0039","series-title":"OPERA Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2 (Version 1) [Data set]","year":"2023"},{"issue":"7633","key":"10.1016\/j.watres.2026.126783_bib0040","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"10.1016\/j.watres.2026.126783_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2025.114882","article-title":"Understanding flood detection models across Sentinel-1 and Sentinel-2 modalities and benchmark datasets","volume":"328","author":"Portal\u00e9s-Juli\u00e0","year":"2025","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.watres.2026.126783_bib0042","first-page":"1","article-title":"High-Precision flood mapping from Sentinel-1 dual-polarization SAR data","volume":"63","author":"Qin","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1","key":"10.1016\/j.watres.2026.126783_bib0043","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1007\/s13753-020-00305-7","article-title":"Remote sensing based rapid assessment of flood crop damage using novel disaster vegetation damage index (DVDI)","volume":"12","author":"Rahman","year":"2021","journal-title":"Int. J. Disaster Risk Sci."},{"issue":"8","key":"10.1016\/j.watres.2026.126783_bib0044","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1111\/ecog.02881","article-title":"Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure","volume":"40","author":"Roberts","year":"2017","journal-title":"Ecography"},{"key":"10.1016\/j.watres.2026.126783_bib0045","article-title":"Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: a multi-event validation study","volume":"11","author":"Roth","year":"2025","journal-title":"Sci. Remote Sens."},{"issue":"6","key":"10.1016\/j.watres.2026.126783_bib0046","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1080\/10106049.2014.965757","article-title":"Evaluation of NDWI and MNDWI for assessment of waterlogging by integrating digital elevation model and groundwater level","volume":"30","author":"Singh","year":"2015","journal-title":"Geocarto Int."},{"issue":"8","key":"10.1016\/j.watres.2026.126783_bib0047","doi-asserted-by":"crossref","first-page":"2473","DOI":"10.5194\/nhess-22-2473-2022","article-title":"Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe","volume":"22","author":"Tarpanelli","year":"2022","journal-title":"Nat. Hazards Earth Syst. Sci."},{"issue":"7870","key":"10.1016\/j.watres.2026.126783_bib0048","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1038\/s41586-021-03695-w","article-title":"Satellite imaging reveals increased proportion of population exposed to floods","volume":"596","author":"Tellman","year":"2021","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.watres.2026.126783_bib0049","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1038\/s41467-025-66391-7","article-title":"Coastal flood impacts and lost ecosystem services along Europe\u2019s outermost regions and overseas countries and territories","volume":"17","author":"Vousdoukas","year":"2026","journal-title":"Nat. Commun."},{"key":"10.1016\/j.watres.2026.126783_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2025.115108","article-title":"The fully-automatic sentinel-1 global flood monitoring service: scientific challenges and future directions","volume":"333","author":"Wagner","year":"2026","journal-title":"Remote Sens. Environ."},{"issue":"8","key":"10.1016\/j.watres.2026.126783_bib0051","doi-asserted-by":"crossref","first-page":"2046","DOI":"10.3390\/rs15082046","article-title":"A near-real-time flood detection method based on deep learning and SAR images","volume":"15","author":"Wu","year":"2023","journal-title":"Remote Sens."},{"issue":"21","key":"10.1016\/j.watres.2026.126783_bib0052","doi-asserted-by":"crossref","first-page":"4052","DOI":"10.3390\/rs16214052","article-title":"Floodwater extraction from UAV orthoimagery based on a transformer model","volume":"16","author":"Wu","year":"2024","journal-title":"Remote Sens."},{"key":"10.1016\/j.watres.2026.126783_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2025.134243","article-title":"Satellite-based monitoring and hazard assessment of multiple flooding types in the Haihe River Basin induced by the July 2023 extreme rainstorm","volume":"663","author":"Xu","year":"2025","journal-title":"J. Hydrol."},{"issue":"7951","key":"10.1016\/j.watres.2026.126783_bib0054","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1038\/d41586-023-00626-9","article-title":"Flash floods: why are more of them devastating the world\u2019s driest regions?","volume":"615","author":"Yin","year":"2023","journal-title":"Nature"},{"key":"10.1016\/j.watres.2026.126783_bib0055","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.gloplacha.2015.05.007","article-title":"Spatiotemporal behavior of floods and droughts and their impacts on agriculture in China","volume":"131","author":"Zhang","year":"2015","journal-title":"Global and Planetary Change"},{"issue":"24","key":"10.1016\/j.watres.2026.126783_bib0056","doi-asserted-by":"crossref","first-page":"5181","DOI":"10.3390\/rs13245181","article-title":"Using CYGNSS data to map flood inundation during the 2021 extreme precipitation in Henan Province, China","volume":"13","author":"Zhang","year":"2021","journal-title":"Remote Sensing"},{"key":"10.1016\/j.watres.2026.126783_bib0057","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2022.112935","article-title":"Mapping causal agents of disturbance in boreal and arctic ecosystems of North America using time series of Landsat data","volume":"272","author":"Zhang","year":"2022","journal-title":"Remote Sensing of Environment,"},{"key":"10.1016\/j.watres.2026.126783_bib0058","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.rse.2014.01.011","article-title":"Continuous change detection and classification of land cover using all available Landsat data","volume":"144","author":"Zhu","year":"2014","journal-title":"Remote Sensing of Environment"}],"container-title":["Water Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0043135426014570?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0043135426014570?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T13:17:08Z","timestamp":1788527828000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0043135426014570"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":58,"alternative-id":["S0043135426014570"],"URL":"https:\/\/doi.org\/10.1016\/j.watres.2026.126783","relation":{},"ISSN":["0043-1354"],"issn-type":[{"value":"0043-1354","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Mapping maximum floodwater footprints from sustained flood traces","name":"articletitle","label":"Article Title"},{"value":"Water Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.watres.2026.126783","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"126783"}}