Remote Sensing for Wetland Restoration

Dear Colleagues,

Wetlands, known as the ‘kidney of the earth’, represent highly productive and critical habitats for a wide variety of plants and animals. However, due to human activities and climate change, the world’s wetlands have been continuously destroyed, resulting in a gradual degradation in ecological functions. Fortunately, more and more countries have joined the Ramsar Convention, and substantial effective work has been performed to protect and restore wetlands. Remote sensing techniques can provide a cost-effective means of selecting restoration sites and observing their progress over time. With the continuous progress of image processing algorithms and remote sensing images of different types and time sequences enable the detection of changes in wetland extent and quality, wetland function, wetland and water body buffers, land use and land cover in watersheds, extent of ditching, and water quality.

The fifth China Wetland Remote Sensing Conference will be held on 27–29 July 2023 in Yantai, China, on the theme ‘Remote Sensing for Wetland Restoration’. The participants will exchange their latest research on wetland remote sensing theory, method and technology application; discuss the utilization, protection and management of wetlands; and promote the protection and restoration of wetlands. We welcome articles from the global research community who are actively involved in this theme.  As such, this Special Issue is open to anyone conducting research in the field of wetland remote sensing.  Potential topics include, but are not limited to, the following areas:

• Wetland classification and landscape pattern evolution;
• Remote sensing monitoring for wetland ecological elements;
• Remote sensing assessment of wetland ecosystem services;
• Remote sensing for wetland protection;
• Remote sensing for wetland restoration;
• Remote sensing of coastal wetlands;
• Remote sensing of inland wetland;
• New technology and method of wetland remote sensing;
• Wetland remote sensing big data;
• Wetland restoration policies and measures.

Prof. Dr. Xiyong Hou
Prof. Dr. Weiwei Sun
Prof. Dr. Dehua Mao
Prof. Dr. Chao Chen
Dr. Dong Li
Guest Editors

Manuscript Submission Information

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