About this Research Topic
Coastal zones are home to unique ecosystems, where complex ecological processes take place through the interaction of terrestrial, aquatic, atmospheric, and human landscapes. With the increasing intensity of human coastal development activities and the impact of climate change, some coastal zones have witnessed a sharp decrease in biodiversity, resulting in fragile ecosystems and frequent natural disasters. Ecological protection in coastal zone has become a common challenge facing the world. However, there are considerable knowledge and data gaps in achieving effective and sustainable management and healthy development of coastal zones around the world.
Remote sensing technology, with its advantages of continually, rapidly, informatively and dynamically monitoring of the environment, is one of the important means to obtain information such as resources, environment and disasters in coastal zones. With the launch of numerous satellites, the increasingly mature UAV technology and the progress of sensor technology, data about the coastal zones have shown explosive growth. At present, how to accurately perceive the dynamic information about coastal zones from the massive remote sensing data is a very challenging subject.
Remote sensing technology is an indivisible part of coastal monitoring. The purpose of this special issue is to promote outstanding research concerning aspects in the realm of remote sensing technology for coastal zone environment, focusing on state-of-the-art progress, development and new trend using multi-scale observation platforms (e.g., satellite, unmanned aerial vehicle, airborne, Lidar, shore-based HD camera) in coastal zones.
The following sub-topics will be included, but are not limited to:
• Remote sensing for natural resources extraction (including but not limited to coastlines, mangroves, wetlands, tidal flats, aquaculture zones)
• Long-time spatial and temporal analysis of coastal environment parameters
• Remote sensing for biodiversity protection in coastal zones
• Rapid parameters estimation and mapping using the cloud-computing platforms (e.g., Google Earth Engine, PIE-Engine, Amazon Web Services, and Microsoft Azure)
• Multi-source images registration and fusion for coastal zones
• Application of AI in remote sensing Big data analysis in coastal zones
• Health sensing of coastal zones using spatial information technology
• Scientific management of coastal zones using spatial information technology
Remote sensing technology, with its advantages of continually, rapidly, informatively and dynamically monitoring of the environment, is one of the important means to obtain information such as resources, environment and disasters in coastal zones. With the launch of numerous satellites, the increasingly mature UAV technology and the progress of sensor technology, data about the coastal zones have shown explosive growth. At present, how to accurately perceive the dynamic information about coastal zones from the massive remote sensing data is a very challenging subject.
Remote sensing technology is an indivisible part of coastal monitoring. The purpose of this special issue is to promote outstanding research concerning aspects in the realm of remote sensing technology for coastal zone environment, focusing on state-of-the-art progress, development and new trend using multi-scale observation platforms (e.g., satellite, unmanned aerial vehicle, airborne, Lidar, shore-based HD camera) in coastal zones.
The following sub-topics will be included, but are not limited to:
• Remote sensing for natural resources extraction (including but not limited to coastlines, mangroves, wetlands, tidal flats, aquaculture zones)
• Long-time spatial and temporal analysis of coastal environment parameters
• Remote sensing for biodiversity protection in coastal zones
• Rapid parameters estimation and mapping using the cloud-computing platforms (e.g., Google Earth Engine, PIE-Engine, Amazon Web Services, and Microsoft Azure)
• Multi-source images registration and fusion for coastal zones
• Application of AI in remote sensing Big data analysis in coastal zones
• Health sensing of coastal zones using spatial information technology
• Scientific management of coastal zones using spatial information technology
Keywords: remote sensing, coastal, cloud-computing platform, AI, coastline, mangroves, wetlands
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
