Coastal Erosion Monitoring Based on Earth Observation Products
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (17 October 2022) | Viewed by 6102
Special Issue Editors
Interests: monitoring systems for morphodynamic proposes; data acquisition methods; digital image analysis; remote sensing for nearshore applications; morphological analysis; sandy shore environments; risk management; short to medium term shoreline modelling
Interests: coastal hydrodynamics; sediment transport and morphological modelling; shoreline evolution; data acquisition and coastal monitoring; coastal hazards; coastal vulnerability and risk assessment and mapping; remote sensing of coastal parameters and bathymetry; nature-based solutions.
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Erosion has become one of the biggest threats in many coastal regions of the world, and it is estimated that 70% of the shorelines are in retreat. Considering the large number of people living in coastal areas, this process implies many societal challenges. Since coastal areas are very dynamic at different spatial and temporal scales, the monitoring of morphological changes requires good data sources and dedicated methodological approaches.
Presently, there is a vast range of remote sensing (RS)-based sensors from varied platforms which make it possible to cover these different scales. When the RS-acquired data are explored through novel methods and algorithms, a great potential for quantifying changes occurring in coastal areas is evidenced.
Several coastal erosion indicators can be considered in both rocky and sandy shores, such as waterlines, maximum swash execution (run-up), dune foot or cliff foot of apex, beach width, tidal creeks, underwater seabed type, and morphology such as nearshore bathymetry, coastal habitats, and cover mapping. This Special Issue will focus on research concerned with innovative approaches to retrieving coastal erosion indicators from RS, the associated limits of application, and the achieved accuracies useful for coastal management proposes.
Papers are welcome linking coastal erosion with various aspects of RS, such as multi-spectral and hyperspectral RS, lidar surveying, geometric reconstruction, image processing and pattern recognition, data fusion and data assimilation, and spaceborne, airborne and terrestrial platforms.
Dr. Paulo Renato Baganha Baptista
Dr. Francisco Sancho
Guest Editors
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Keywords
- remote sensing
- coastal erosion indicators
- algorithms
- validation
- management applications
- coastal mapping
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