Remote Sensing of Water Resources Monitoring, Parametrization and Modeling

Dear Colleagues,

Remote sensing data integrated with advanced machine learning algorithms serve as a cost-efficient alternative to in situ data collection at numerous spatial and temporal scales. Numerous models can be proposed to effectively monitor problems with a special focus on the conservation and management of water resources. The goal of this Special Issue of Remote Sensing is to collect papers (original research articles and review papers) to give insights about the use of RS/GIS-based techniques for monitoring, modeling, and managing water resources and water-related processes such as flooding, drought, land subsidence, sediment transport, and changing the morphology of rivers. In addition, the combined use of both optical and thermal multi-temporal imageries can be thus used to analyze aquatic environments at both global and regional scales. Therefore, articles that explore, evaluate, or implement the use of thermal images to monitor submarine groundwater discharge (SGD) and assess groundwater–lake interactions are welcome.

This open access Special Issue invites high-quality and innovative scientific papers describing cutting-edge research on the application of remote sensing methods from any platform (satellite, aircraft, drones, etc.) to the study of water-related issues. Potential topics include, but are not limited to, the following:

• Monitoring water quality (rivers, lakes, etc.) using remote sensing techniques
• Remote sensing-based modeling of submarine groundwater discharge (SGD)
• Thermal anomalies mapping in waterbodies
• Application of remote sensing methods in monitoring and modeling of water-related disasters (land subsidence, flood, drought, etc.) caused by the mismanagement of water resources
• Modeling energy and water fluxes

This Special Issue will benefit natural and social water and sustainability scientists, engineers, managers, and other stakeholders with an interest in the remote sensing of water resources.

Prof. Assefa M. Melesse
Dr. Omid Rahmati
Dr. Zahra Kalantari
Dr. Ravinesh C Deo
Dr. Khabat Khosravi
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 250 words) can be sent to the Editorial Office for assessment.

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.