Mapping and Change Analysis of Water and Wetland
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 5535
Special Issue Editor
Interests: remote sensing; water mapping; wetland mapping; change analysis; machine learning; classification; google earth engine; landsat; sentinel
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water and wetland ecosystems provide valuable water resources for human society while supporting a wide range of plant and animal species. Driven by climatic and anthropogenic factors, open surface water and wetlands across the world are experiencing rapid changes.
Global warming and climate change have dried out numerous lakes and ponds worldwide. Meanwhile, the increasing temperature is thawing the permafrost in Arctic wetlands, changing their water regimes and vegetation types. The increasing demands of public water supply, irrigation, and hydroelectric power have led to the construction of new reservoirs, while the land reclamation for housing and agriculture has led to the loss of natural water bodies and wetlands.
The availability of fine resolution remote sensing data (e.g., Landsat, Sentinel, PALSAR, RADARSAT) and the development of new algorithms (e.g., machine learning, deep learning) have advanced the techniques in water and wetland mapping and their change analysis.
This Special Issue of Water aims to collect research related to different aspects of mapping and change analysis of water and wetland. The potential research topics include but are not limited to:
- Exploring different remote sensing data (e.g., optical, SAR, LiDAR, UAV, etc.) in the mapping of water or wetland;
- Exploring different approaches (e.g., field survey, indexing, machine learning, deep learning, etc.) in the mapping of water or wetland;
- Analyzing changes of water or wetland across different time periods (e.g., seasonal, annual, decadal, etc.);
- Analyzing natural or anthropogenic drivers (e.g., climate change, drought, flood, reservoir construction, land reclamation, etc.) of water or wetland changes;
- Using big data, high-performance computers, and cloud-computing platforms (e.g., Google Earth Engine) in water or wetland mapping and change analysis.
Dr. Zhenhua Zou
Guest Editor
Manuscript Submission Information
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Keywords
- water
- wetland
- remote sensing
- mapping
- change analysis
- big data
- hydrology
- machine learning
- google earth engine
- sustainable management
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