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Innovative remote sensing methodologies and applications in coastal and marine environments

dc.contributor.authorZhao, Qing
dc.contributor.authorPepe, Antonio
dc.contributor.authorZamparelli, Virginia
dc.contributor.authorMastro, Pietro
dc.contributor.authorFalabella, Francesco
dc.contributor.authorAbdikan, Saygin
dc.contributor.authorBayik, Caglar
dc.contributor.authorBalik Sanli, Fusun
dc.contributor.authorUstuner, Mustafa
dc.contributor.authorAvsar, Nevin Betul
dc.contributor.authorWang, Jingjing
dc.contributor.authorChen, Peng
dc.contributor.authorLi, Zhengjie
dc.contributor.authorDevlin, Adam T.
dc.contributor.authorCalo, Fabiana
dc.date.accessioned2026-06-27T14:56:17Z
dc.date.issued2024
dc.description.abstractRemote sensing (RS) technologies are extensively exploited by scientists and a vast audience of local authorities, urban managers, and city planners. Coastal regions, geohazard-prone areas, and highly populated cities represent natural laboratories to apply RS technologies and test new methods. Over the last decades, many efforts have been spent on improving Earth's surface monitoring, including intensifying Earth Observation (EO) operations by the major national space agencies. They oversee to plan and make operational constellations of satellite sensors providing the scientific community with extensive research and development opportunities in the geoscience field. For instance, within this framework, the European Space Agency (ESA) and the Ministry of Science and Technology of China (MOST) have sponsored, since the early 2000s, the DRAGON initiative jointly carried out by the European and Chinese RS scientific communities. This manuscript aims to provide a synthetic overview of some research activities and new methods recently designed and applied and trace the route for further developments. The main findings are related to i) the analysis of flood risk in China, ii) the potential of new methods for the estimation and removal of ground displacement biases in small-baseline oriented interferometric Synthetic Aperture Radar (SAR) methods, iii) the analysis of the inundation risk in low-lying regions using coherent and incoherent SAR methods; and iv) the use of SAR-based technologies for marine applications.en
dc.description.sponsorshipDRAGON 5 ESA-MOST GREENISH project [58351]
dc.description.urihttps://doi.org/10.1080/10095020.2023.2244006
dc.identifier.doi10.1080/10095020.2023.2244006
dc.identifier.eissn1993-5153
dc.identifier.endpage853
dc.identifier.issn1009-5020
dc.identifier.issue3
dc.identifier.startpage836
dc.identifier.urihttps://hdl.handle.net/20.500.14981/66451
dc.identifier.volume27
dc.identifier.wos001059576700001
dc.language.isoeng
dc.publisherTAYLOR & FRANCIS LTD
dc.relation.ispartofGEO-SPATIAL INFORMATION SCIENCE
dc.rightsopenAccess
dc.subjectDisaster risk management
dc.subjectRemote Sensing (RS)
dc.subjectEarth Observation (EO)
dc.subjectSynthetic Aperture Radar (SAR)
dc.subjectflooding
dc.subjectsubsidence
dc.subjectcoastal/marine environments
dc.subjectCLIMATE-CHANGE
dc.subjectVEGETATION DYNAMICS
dc.subjectTIME-SERIES
dc.subjectRIVER-BASIN
dc.subjectSPATIOTEMPORAL VARIATION
dc.subject3-NORTH REGION
dc.subjectEAST-AFRICA
dc.subjectLAND-COVER
dc.subjectCHINA
dc.subjectNDVI
dc.subjectRemote Sensing
dc.titleInnovative remote sensing methodologies and applications in coastal and marine environments
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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