Remote Sensing for Wetland Inventory, Mapping and Change Analysis

Dear Colleagues,

Wetlands provide numerous services to humans and the environment. They facilitate water purification, reduce the risk of natural hazards, play an important role in soil and water conservation, act as natural filters of sediments, remove a considerable amount of pollution, and provide recreational and aesthetic values. Wetlands are negatively impacted by anthropogenic and natural activities, such as land cover changes, urbanization, industrial wastes, groundwater depletion, and climate change. Therefore, they should be monitored and preserved for managing their biodiversity and wildlife and sustainable development. Several international organizations (e.g., the Wetland International, Ramsar Convention, International Union for Conservation of Nature) have developed strategies for wetland ecosystem monitoring, conservation, and restoration. In this regard, generating wetland inventories is an important step that should be followed by consistent and timely monitoring and assessment of wetland ecological conditions for better management, protection, preservation, restoration, and conservation.

Remote sensing has proved to be an efficient tool for wetland mapping and monitoring. The possibility of acquiring images with various spectral and spatial resolutions enables researchers to efficiently study wetlands at local, regional, continental, and global scales in a cost-effective manner. Moreover, the availability of multitemporal open-source remote sensing datasets makes this technology invaluable for long-term monitoring of wetlands to measure wetland state, condition, and change. Finally, the availability of advanced machine learning algorithms and big data processing platforms facilitates effective wetland mapping and monitoring.

This Special Issue of Remote Sensing aims to collect the most recent research works related to different aspects of wetland mapping and change analysis using remote sensing methods. Potential topics for this Special Issue include but are not limited to:

• Wetland mapping using different types of remote sensing datasets (e.g., multispectral, hyperspectral, SAR, LiDAR, and UAV data);
• Decadal/annual/seasonal change analysis of wetlands;
• Condition assessment of wetlands using multispectral and hyperspectral remote sensing images;
• Polarimetric and interferometric techniques for wetland classification and change detection;
• Advanced machine learning algorithms (e.g., deep learning) for wetland classification and monitoring;
• Applications of geospatial big data processing platforms (e.g., Google Earth Engine) for wetland mapping and change analysis;
• Hydrological dynamics of wetland ecosystems

Dr. Meisam Amani
Dr. Brian Brisco
Dr. Hooman Latifi
Dr. Qiusheng Wu
Dr. Sahel Mahdavi
Dr. Arsalan Ghorbanian
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Remote sensing
• Wetland mapping
• Wetland change analysis
• Wetland conservation
• Wetland condition assessment
• Machine learning
• Geospatial big data