Multisource Remote Sensing for Coastal Mapping, Monitoring, and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 20151
Special Issue Editors
Interests: remote sensing; hyperspectral image processing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: coastal remote sensing; hyperspectral image processing with machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; hyperspectral image processing
Special Issues, Collections and Topics in MDPI journals
Interests: coastal wetland remote sensing; mangrove
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing of resources and environment in coastal zone; coastal risk assessment; Integrated Coastal Zone Management (ICZM); landscape ecology; landscape diversity; habitat quality assessment
Special Issues, Collections and Topics in MDPI journals
Interests: coastal remote sensing; remote sensing time-series products temporal reconstruction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
(1) Introduction, including scientific background and highlighting the importance of this research area.
Coastal zones are regions of high human activity with rich biodiversity and significant ecological service value. They are also typical sensitive areas with fragile ecological environment and have been increasingly threatened by human activities and climate change. Multisource remote sensing, including satellites, unmanned aerial vehicle (UAV), and ground observations, provide an effective measure for coastal processes.
(2) Aim of the Special Issue and how the subject relates to the journal scope.
This Special Issue focuses on multisource remote sensing in coastal monitoring, mapping, change detection, and applications, it will foster newly advanced technology for remote sensing of coastal zones. The theme of this Special Issue mainly includes multisource remote sensing, including satellite, UAV, ground platforms with panchromatic, multispectral, hyperspectral, synthetic aperture radar (SAR), LIDAR, and so forth, for coastal processing and applications. Correspondingly, the potential topics includes, but not limited to, the following:
(3) Suggested themes and article types for submissions.
Multisource remote sensing opening data collection (satellite, UAV, ground, etc) for coastal monitoring.
Multisource remote sensing image preprocessing (moasicing, denoising, dimension reduction, etc) for coastal mapping.
Multisource remote sensing image fusion (spatial-spectral fusion, spatio-temporal fusion, optical-SAR fusion, heterogeneous with satellite, UAV, and ground observations, etc) for coastal mapping.
Multisource remote sensing image classification for coastal mapping.
Multisource remote sensing image change detection for coastal zones.
Time-series image analysis for monitoring coastal zones.
Carbon sequestration estimation on multisource remote sensing for coastal zones.
Multisource remote sensing for coastal applications (coastal line, mangrove forest, etc)
Prof. Dr. Weiwei Sun
Prof. Dr. Xiangchao Meng
Prof. Dr. Jiangtao Peng
Prof. Dr. Xudong Zhu
Prof. Dr. Xiyong Hou
Prof. Dr. Gang Yang
Guest Editors
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Keywords
- coastal mapping
- coastal monitoring
- multisource remote sensing
- image preprocessing
- image fusion
- image classification
- change detection
- carbon sequestration estimation
- coastal applications
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