FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891007421> ?p ?o ?g. }

• W2891007421 endingPage "1673" @default.
• W2891007421 startingPage "1673" @default.
• W2891007421 abstract "Satellite remote sensing is a powerful tool to map flooded areas. In recent years, the availability of free satellite data significantly increased in terms of type and frequency, allowing the production of flood maps at low cost around the world. In this work, we propose a semi-automatic method for flood mapping, based only on free satellite images and open-source software. The proposed methods are suitable to be applied by the community involved in flood hazard management, not necessarily experts in remote sensing processing. As case studies, we selected three flood events that recently occurred in Spain and Italy. Multispectral satellite data acquired by MODIS, Proba-V, Landsat, and Sentinel-2 and synthetic aperture radar (SAR) data collected by Sentinel-1 were used to detect flooded areas using different methodologies (e.g., Modified Normalized Difference Water Index, SAR backscattering variation, and supervised classification). Then, we improved and manually refined the automatic mapping using free ancillary data such as the digital elevation model-based water depth model and available ground truth data. We calculated flood detection performance (flood ratio) for the different datasets by comparing with flood maps made by official river authorities. The results show that it is necessary to consider different factors when selecting the best satellite data. Among these factors, the time of the satellite pass with respect to the flood peak is the most important. With co-flood multispectral images, more than 90% of the flooded area was detected in the 2015 Ebro flood (Spain) case study. With post-flood multispectral data, the flood ratio showed values under 50% a few weeks after the 2016 flood in Po and Tanaro plains (Italy), but it remained useful to map the inundated pattern. The SAR could detect flooding only at the co-flood stage, and the flood ratio showed values below 5% only a few days after the 2016 Po River inundation. Another result of the research was the creation of geomorphology-based inundation maps that matched up to 95% with official flood maps." @default.
• W2891007421 created "2018-09-27" @default.
• W2891007421 creator A5036117253 @default.
• W2891007421 creator A5082809651 @default.
• W2891007421 creator A5084862352 @default.
• W2891007421 creator A5085262121 @default.
• W2891007421 creator A5087184209 @default.
• W2891007421 creator A5090068751 @default.
• W2891007421 date "2018-10-23" @default.
• W2891007421 modified "2023-10-16" @default.
• W2891007421 title "Potential and Limitations of Open Satellite Data for Flood Mapping" @default.
• W2891007421 cites W1066523502 @default.
• W2891007421 cites W1500296370 @default.
• W2891007421 cites W1519694837 @default.
• W2891007421 cites W1586954264 @default.
• W2891007421 cites W1652973002 @default.
• W2891007421 cites W1965825034 @default.
• W2891007421 cites W1968115474 @default.
• W2891007421 cites W1970323848 @default.
• W2891007421 cites W1977167567 @default.
• W2891007421 cites W1978617972 @default.
• W2891007421 cites W1984670836 @default.
• W2891007421 cites W1992225739 @default.
• W2891007421 cites W1994508789 @default.
• W2891007421 cites W2005779189 @default.
• W2891007421 cites W2006108538 @default.
• W2891007421 cites W2006725446 @default.
• W2891007421 cites W2026400855 @default.
• W2891007421 cites W2033295690 @default.
• W2891007421 cites W2036745212 @default.
• W2891007421 cites W2051854999 @default.
• W2891007421 cites W2060059902 @default.
• W2891007421 cites W2062815717 @default.
• W2891007421 cites W2064736922 @default.
• W2891007421 cites W2074504304 @default.
• W2891007421 cites W2095156493 @default.
• W2891007421 cites W2101044141 @default.
• W2891007421 cites W2101378180 @default.
• W2891007421 cites W2101678239 @default.
• W2891007421 cites W2119513445 @default.
• W2891007421 cites W2122684287 @default.
• W2891007421 cites W2153560836 @default.
• W2891007421 cites W2156606791 @default.
• W2891007421 cites W2157675604 @default.
• W2891007421 cites W2166148349 @default.
• W2891007421 cites W2168480769 @default.
• W2891007421 cites W2168746820 @default.
• W2891007421 cites W2176363452 @default.
• W2891007421 cites W2215149882 @default.
• W2891007421 cites W2238169501 @default.
• W2891007421 cites W2263939926 @default.
• W2891007421 cites W2267093276 @default.
• W2891007421 cites W2343675796 @default.
• W2891007421 cites W2462089918 @default.
• W2891007421 cites W2509917403 @default.
• W2891007421 cites W2529064413 @default.
• W2891007421 cites W2537646284 @default.
• W2891007421 cites W2566744289 @default.
• W2891007421 cites W2604199742 @default.
• W2891007421 cites W2606990765 @default.
• W2891007421 cites W2611516702 @default.
• W2891007421 cites W2727741216 @default.
• W2891007421 cites W2775757464 @default.
• W2891007421 cites W2780240127 @default.
• W2891007421 cites W2784203435 @default.
• W2891007421 cites W2791152274 @default.
• W2891007421 cites W2793014151 @default.
• W2891007421 cites W2810337459 @default.
• W2891007421 cites W2883628037 @default.
• W2891007421 cites W2963097326 @default.
• W2891007421 doi "https://doi.org/10.3390/rs10111673" @default.
• W2891007421 hasPublicationYear "2018" @default.
• W2891007421 type Work @default.
• W2891007421 sameAs 2891007421 @default.
• W2891007421 citedByCount "98" @default.
• W2891007421 countsByYear W28910074212019 @default.
• W2891007421 countsByYear W28910074212020 @default.
• W2891007421 countsByYear W28910074212021 @default.
• W2891007421 countsByYear W28910074212022 @default.
• W2891007421 countsByYear W28910074212023 @default.
• W2891007421 crossrefType "journal-article" @default.
• W2891007421 hasAuthorship W2891007421A5036117253 @default.
• W2891007421 hasAuthorship W2891007421A5082809651 @default.
• W2891007421 hasAuthorship W2891007421A5084862352 @default.
• W2891007421 hasAuthorship W2891007421A5085262121 @default.
• W2891007421 hasAuthorship W2891007421A5087184209 @default.
• W2891007421 hasAuthorship W2891007421A5090068751 @default.
• W2891007421 hasBestOaLocation W28910074211 @default.
• W2891007421 hasConcept C127313418 @default.
• W2891007421 hasConcept C127413603 @default.
• W2891007421 hasConcept C146849305 @default.
• W2891007421 hasConcept C146978453 @default.
• W2891007421 hasConcept C154945302 @default.
• W2891007421 hasConcept C166957645 @default.
• W2891007421 hasConcept C173163844 @default.
• W2891007421 hasConcept C181843262 @default.
• W2891007421 hasConcept C19269812 @default.
• W2891007421 hasConcept C205649164 @default.

• next