{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T11:19:07Z","timestamp":1769599147235,"version":"3.49.0"},"reference-count":18,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2019,4,19]],"date-time":"2019-04-19T00:00:00Z","timestamp":1555632000000},"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 that focus on the use of remote sensing data and describe methods for flood monitoring and mapping. These articles span a wide range of topics; present novel processing techniques and review methods; and discuss limitations and challenges. This preface provides a brief overview of the content.<\/jats:p>","DOI":"10.3390\/rs11080943","type":"journal-article","created":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T03:15:53Z","timestamp":1555902953000},"page":"943","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":53,"title":["Preface: Remote Sensing for Flood Mapping and Monitoring of Flood Dynamics"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4726-5316","authenticated-orcid":false,"given":"Alessio","family":"Domeneghetti","sequence":"first","affiliation":[{"name":"DICAM-Department of Civil, Chemical, Environmental, and Materials Engineering University of Bologna, 40136 Bologna, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0968-7198","authenticated-orcid":false,"given":"Guy J.-P.","family":"Schumann","sequence":"additional","affiliation":[{"name":"Remote Sensing Solutions Inc., Barnstable, MA 91016, USA"},{"name":"School of Geographical Sciences, University of Bristol, Bristol BS8 1QU, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3487-1659","authenticated-orcid":false,"given":"Angelica","family":"Tarpanelli","sequence":"additional","affiliation":[{"name":"Research Institute for Geo-Hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128 Perugia, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2891","DOI":"10.1002\/hyp.10825","article-title":"Exploiting the proliferation of current and future satellite observations of rivers","volume":"30","author":"Schumann","year":"2016","journal-title":"Hydrol. Process."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"DeVries, B., Huang, C., Lang, M.W., Jones, J.W., Huang, W., Creed, I.F., and Carroll, M.L. (2017). Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery. Remote Sens., 9.","DOI":"10.3390\/rs9080807"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Bangira, T., Alfieri, S.M., Menenti, M., Van Niekerk, A., and Vekerdy, Z. (2017). A Spectral Unmixing Method with Ensemble Estimation of Endmembers: Application to Flood Mapping in the Caprivi Floodplain. Remote Sens., 9.","DOI":"10.3390\/rs9101013"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Huang, W., DeVries, B., Huang, C., Lang, M.W., Jones, J.W., Creed, I.F., and Carroll, M.L. (2018). Automated Extraction of Surface Water Extent from Sentinel-1 Data. 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Remote Sens., 10.","DOI":"10.3390\/rs10050725"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Goldberg, M.D., Li, S., Goodman, S., Lindsey, D., Sjoberg, B., and Sun, D. (2018). Contributions of Operational Satellites in Monitoring the Catastrophic Floodwaters Due to Hurricane Harvey. Remote Sens., 10.","DOI":"10.3390\/rs10081256"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Chini, M., Pelich, R., Pulvirenti, L., Pierdicca, N., Hostache, R., and Matgen, P. (2019). Sentinel-1 InSAR Coherence to Detect Floodwater in Urban Areas: Houston and Hurricane Harvey as A Test Case. Remote Sens., 11.","DOI":"10.3390\/rs11020107"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Mashaly, J., and Ghoneim, E. (2018). Flash Flood Hazard Using Optical, Radar, and Stereo-Pair Derived DEM: Eastern Desert, Egypt. Remote Sens., 10.","DOI":"10.3390\/rs10081204"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Notti, D., Giordan, D., Cal\u00f3, F., Pepe, A., Zucca, F., and Galve, J.P. (2018). Potential and Limitations of Open Satellite Data for Flood Mapping. Remote Sens., 10.","DOI":"10.20944\/preprints201807.0624.v1"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Olthof, I., and Tolszczuk-Leclerc, S. (2018). Comparing Landsat and RADARSAT for Current and Historical Dynamic Flood Mapping. Remote Sens., 10.","DOI":"10.3390\/rs10050780"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Rao, P., Jiang, W., Hou, Y., Chen, Z., and Jia, K. (2018). Dynamic Change Analysis of Surface Water in the Yangtze River Basin Based on MODIS Products. Remote Sens., 10.","DOI":"10.3390\/rs10071025"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Domeneghetti, A., Tarpanelli, A., Grimaldi, L., Brath, A., and Schumann, G. (2018). Flow Duration Curve from Satellite: Potential of a Lifetime SWOT Mission. Remote Sens., 10.","DOI":"10.3390\/rs10071107"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Yoshimoto, S., and Amarnath, G. (2017). Applications of Satellite-Based Rainfall Estimates in Flood Inundation Modeling\u2014A Case Study in Mundeni Aru River Basin, Sri Lanka. Remote Sens., 9.","DOI":"10.3390\/rs9100998"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Alahacoon, N., Matheswaran, K., Pani, P., and Amarnath, G. (2018). A Decadal Historical Satellite Data and Rainfall Trend Analysis (2001\u20132016) for Flood Hazard Mapping in Sri Lanka. Remote Sens., 10.","DOI":"10.3390\/rs10030448"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Bhattacharya, B., Mazzoleni, M., and Ugay, R. (2019). Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products. 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