Biodiversity in Wetlands: Monitoring, Assessment, and Conservation Through Remote Sensing
A special issue of Diversity (ISSN 1424-2818).
Deadline for manuscript submissions: 30 May 2026 | Viewed by 21
Special Issue Editors
Interests: hyperspectral remote sensing; ecosystem monitoring and assessment; marine biodiversity; natural protected areas conservation and management; wetland ecology
Interests: plant diversity; global change; plant traits; carbon flux
Interests: remote sensing of resources and environments in coastal zones; coastal risk assessment; integrated coastal zone management (ICZM)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wetlands are one of the most biologically diverse and productive natural ecosystems, hosting more than 40% of biological species. Monitoring, assessment, and conservation of wetland biodiversity are essential for maintaining the health and sustainability of wetland ecosystems and safeguarding biodiversity. In recent years, remote sensing techniques have been increasingly contributing to determining biodiversity characteristics as well as monitoring large-scale areas. The evolution of remote sensing tools allows the refinement of existing approaches and the development of new innovative approaches for better evaluation of the biodiversity response to wetland ecosystem management and conservation. This Special Issue aims to highlight technological innovations, assessment models, conservation practices, and interdisciplinary integration in remote sensing research and its application in wetland biodiversity. Topics of interest include, but are not limited to, the following:
- Remote sensing for studying both observed and potential diversity;
- Applications of new remote sensing sensors (such as hyperspectral and LiDAR) in species identification and habitat mapping;
- Optimization of deep-learning-driven wetland vegetation classification algorithms;
- Development and dynamic analysis of biodiversity indices based on multi-source remote sensing data;
- Evaluation of ecological restoration effectiveness supported by remote sensing and optimization strategies for protected areas;
- Simulation of species migration under climate change scenarios;
- Long-term monitoring of restored wetland ecosystems using remote sensing;
- The collaborative monitoring approach combining artificial intelligence (AI), big data analytics, and field surveys.
Dr. Zhiguo Dou
Dr. Zhaogang Liu
Prof. Dr. Xiyong Hou
Guest Editors
Manuscript Submission Information
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Keywords
- wetland ecosystem
- remote sensing
- conservation management
- diversity
- modeling
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