{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T19:18:30Z","timestamp":1790277510312,"version":"4.1.0"},"reference-count":78,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2015,11,23]],"date-time":"2015-11-23T00:00:00Z","timestamp":1448236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Early flood warning and real-time monitoring systems play a key role in flood risk reduction and disaster response decisions. Global-scale flood forecasting and  satellite-based flood detection systems are currently operating, however their reliability for decision-making applications needs to be assessed. In this study, we performed comparative evaluations of several operational global flood forecasting and flood detection systems, using 10 major flood events recorded over 2012\u20132014. Specifically, we evaluated the spatial extent and temporal characteristics of flood detections from the Global Flood Detection System (GFDS) and the Global Flood Awareness System (GloFAS). Furthermore, we compared the GFDS flood maps with those from NASA\u2019s two Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. Results reveal that: (1) general agreement was found between the GFDS and MODIS flood detection systems, (2) large differences exist in the spatio-temporal characteristics of the GFDS detections and GloFAS forecasts, and (3) the quantitative validation of global flood disasters in data-sparse regions is highly challenging. Overall, satellite remote sensing provides useful near real-time flood information that can be useful for risk management. We highlight the known limitations of global flood detection and forecasting systems, and propose ways forward to improve the reliability of large-scale flood monitoring tools.<\/jats:p>","DOI":"10.3390\/rs71115702","type":"journal-article","created":{"date-parts":[[2015,11,24]],"date-time":"2015-11-24T01:57:02Z","timestamp":1448330222000},"page":"15702-15728","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":108,"title":["On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5120-4095","authenticated-orcid":false,"given":"Beatriz","family":"Revilla-Romero","sequence":"first","affiliation":[{"name":"European Commission, Joint Research Centre, Ispra 21027, Italy"},{"name":"Faculty of Geosciences, Utrecht University, Utrecht 3508, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4919-4753","authenticated-orcid":false,"given":"Feyera","family":"Hirpa","sequence":"additional","affiliation":[{"name":"European Commission, Joint Research Centre, Ispra 21027, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jutta","family":"Pozo","sequence":"additional","affiliation":[{"name":"European Commission, Joint Research Centre, Ispra 21027, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Salamon","sequence":"additional","affiliation":[{"name":"European Commission, Joint Research Centre, Ispra 21027, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3217-4852","authenticated-orcid":false,"given":"Robert","family":"Brakenridge","sequence":"additional","affiliation":[{"name":"Institute of Arctic and Alpine Research (INSTAAR), University of Colorado, Boulder, CO 80309, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1766-2898","authenticated-orcid":false,"given":"Florian","family":"Pappenberger","sequence":"additional","affiliation":[{"name":"European Centre For medium-range Weather Forecast, Reading RG2 9AX, UK"},{"name":"School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tom","family":"De Groeve","sequence":"additional","affiliation":[{"name":"European Commission, Joint Research Centre, Ispra 21027, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2015,11,23]]},"reference":[{"key":"ref_1","unstructured":"Centre for Research on the Epidemiology of Disasters (CRED) The Human Cost of Natural Disasters 2015: A Global Perspective. 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