首页|Innovative remote sensing methodologies and applications in coastal and marine environments

Innovative remote sensing methodologies and applications in coastal and marine environments

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Remote 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 oppor-tunities 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 analy-sis of the inundation risk in low-lying regions using coherent and incoherent SAR methods;andⅳ)the use of SAR-based technologies for marine applications.

Disaster risk managementRemote Sensing(RS)Earth Observation(EO)Synthetic Aperture Radar(SAR)floodingsubsidencecoastal/marine environments

Qing Zhao、Antonio Pepe、Virginia Zamparelli、Pietro Mastro、Francesco Falabella、Saygin Abdikan、Caglar Bayik、Fusun Balik Sanli、Mustafa Ustuner、Nevin Betul Avşar、Jingjing Wang、Peng Chen、Zhengjie Li、Adam T.Devlin、Fabiana Calò

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Key Laboratory of Geographical Information Science,Ministry of Education,East China Normal University,Shanghai,China

School of Geographic Sciences,East China Normal University,Shanghai,China

Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities,Ministry of Natural Resources,Shanghai,China

Institute for Electromagnetic Sensing of the Environment(IREA),Italian National Research Council,Napoli,Italy

School of Engineering,University of Basilicata,Potenza,Italy

Institute of Methodologies for Environmental Analysis(IMAA),Italian National Research Council,Tito Scalo,Italy

Department of Geomatics Engineering,Hacettepe University,Ankara,Turkey

Department of Geomatics Engineering,Zonguldak Bulent Ecevit University,Zonguldak,Turkey

Department of Geomatic Engineering,Yildiz Technical University,Istanbul,Turkey

Department of Geomatic Engineering,Artvin Çoruh University,Artvin,Turkey

Department of Geomatics Engineering,Izmir Katip Celebi University,İzmir,Turkey

School of Ocean and Earth Science and Technology,University of Hawaii at Mānoa,Honolulu,HI,USA

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2024

10.1080/10095020.2023.2244006

地球空间信息科学学报(英文版)
武汉大学（原武汉测绘科技大学）

地球空间信息科学学报(英文版)

影响因子：0.207
ISSN：1009-5020
年,卷(期)：2024.27(3)