Innovative remote sensing methodologies and applications in coastal and marine environments
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...
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-05-01
|
| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2023.2244006 |
| _version_ | 1827126562284109824 |
|---|---|
| author | 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 |
| author_facet | 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 |
| author_sort | Qing Zhao |
| collection | DOAJ |
| description | 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 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. |
| first_indexed | 2024-03-12T02:16:38Z |
| format | Article |
| id | doaj.art-e5ce94392bc6412ebb2cc19b58c4027f |
| institution | Directory Open Access Journal |
| issn | 1009-5020 1993-5153 |
| language | English |
| last_indexed | 2025-03-20T15:14:35Z |
| publishDate | 2024-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj.art-e5ce94392bc6412ebb2cc19b58c4027f2024-09-05T11:57:54ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532024-05-0127383685310.1080/10095020.2023.2244006Innovative remote sensing methodologies and applications in coastal and marine environmentsQing Zhao0Antonio Pepe1Virginia Zamparelli2Pietro Mastro3Francesco Falabella4Saygin Abdikan5Caglar Bayik6Fusun Balik Sanli7Mustafa Ustuner8Nevin Betul Avşar9Jingjing Wang10Peng Chen11Zhengjie Li12Adam T. Devlin13Fabiana Calò14Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, ChinaInstitute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, Napoli, ItalyInstitute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, Napoli, ItalyInstitute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, Napoli, ItalyInstitute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, Napoli, ItalyDepartment of Geomatics Engineering, Hacettepe University, Ankara, TurkeyDepartment of Geomatics Engineering, Zonguldak Bulent Ecevit University, Zonguldak, TurkeyDepartment of Geomatic Engineering, Yildiz Technical University, Istanbul, TurkeyDepartment of Geomatic Engineering, Artvin Çoruh University, Artvin, TurkeyDepartment of Geomatics Engineering, Izmir Katip Celebi University, İ̇zmir, TurkeyKey Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, ChinaKey Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, ChinaKey Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, ChinaSchool of Ocean and Earth Science and Technology, University of Hawaii at Mānoa, Honolulu, HI, USAInstitute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, Napoli, ItalyRemote 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.https://www.tandfonline.com/doi/10.1080/10095020.2023.2244006Disaster risk managementRemote Sensing (RS)Earth Observation (EO)Synthetic Aperture Radar (SAR)floodingsubsidence |
| spellingShingle | 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 Innovative remote sensing methodologies and applications in coastal and marine environments Geo-spatial Information Science Disaster risk management Remote Sensing (RS) Earth Observation (EO) Synthetic Aperture Radar (SAR) flooding subsidence |
| title | Innovative remote sensing methodologies and applications in coastal and marine environments |
| title_full | Innovative remote sensing methodologies and applications in coastal and marine environments |
| title_fullStr | Innovative remote sensing methodologies and applications in coastal and marine environments |
| title_full_unstemmed | Innovative remote sensing methodologies and applications in coastal and marine environments |
| title_short | Innovative remote sensing methodologies and applications in coastal and marine environments |
| title_sort | innovative remote sensing methodologies and applications in coastal and marine environments |
| topic | Disaster risk management Remote Sensing (RS) Earth Observation (EO) Synthetic Aperture Radar (SAR) flooding subsidence |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2023.2244006 |
| work_keys_str_mv | AT qingzhao innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT antoniopepe innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT virginiazamparelli innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT pietromastro innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT francescofalabella innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT sayginabdikan innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT caglarbayik innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT fusunbaliksanli innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT mustafaustuner innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT nevinbetulavsar innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT jingjingwang innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT pengchen innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT zhengjieli innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT adamtdevlin innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments AT fabianacalo innovativeremotesensingmethodologiesandapplicationsincoastalandmarineenvironments |