{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T16:23:49Z","timestamp":1773678229414,"version":"3.50.1"},"reference-count":23,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2015,12,16]],"date-time":"2015-12-16T00:00:00Z","timestamp":1450224000000},"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>This Special Issue is a collection of papers studying the use of remote sensing data and methods for flood monitoring and management. The articles contributed span a wide range of topics and present novel processing techniques, review methods and discuss limitations, and also report on current capabilities and outline emerging needs. This preface provides a brief overview of the content. 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Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active\/Passive Microwave Remote Sensing Data. Remote Sens., 7.","DOI":"10.3390\/rs71215843"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Revilla-Romero, B., Hirpa, F.A., Pozo, J.T.D., Salamon, P., Brakenridge, R., Pappenberger, F., and de Groeve, T. (2015). On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions. Remote Sens., 7.","DOI":"10.3390\/rs71115702"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Giustarini, L., Chini, M., Hostache, R., Pappenberger, F., and Matgen, P. (2015). Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data. Remote Sens., 7.","DOI":"10.3390\/rs71014200"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Malinowski, R., Groom, G., Schwanghart, W., and Heckrath, G. (2015). 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Remote Sens., 7.","DOI":"10.3390\/rs70912380"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Byun, Y., Han, Y., and Chae, T. (2015). Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images. Remote Sens., 7.","DOI":"10.3390\/rs70810347"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Yuan, T., Lee, H., and Jung, H.C. (2015). Toward Estimating Wetland Water Level Changes Based on Hydrological Sensitivity Analysis of PALSAR Backscattering Coefficients over Different Vegetation Fields. Remote Sens., 7.","DOI":"10.3390\/rs70303153"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Martinis, S., and Rieke, C. (2015). Backscatter Analysis Using Multi-Temporal and Multi-Frequency SAR Data in the Context of Flood Mapping at River Saale, Germany. Remote Sens., 7.","DOI":"10.3390\/rs70607732"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Hu, Y., Huang, J., Du, Y., Han, P., and Huang, W. (2015). Monitoring Spatial and Temporal Dynamics of Flood Regimes and Their Relation to Wetland Landscape Patterns in Dongting Lake from MODIS Time-Series Imagery. Remote Sens., 7.","DOI":"10.3390\/rs70607494"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Wu, G., and Liu, Y. (2015). Combining Multispectral Imagery with in situ Topographic Data Reveals Complex Water Level Variation in China\u2019s Largest Freshwater Lake. Remote Sens., 7.","DOI":"10.3390\/rs71013466"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhang, P., Lu, J., Feng, L., Chen, X., Zhang, L., Xiao, X., and Liu, H. (2015). Hydrodynamic and Inundation Modeling of China\u2019s Largest Freshwater Lake Aided by Remote Sensing Data. 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