Recent Advances in Water Resources and Water Environmental Monitoring with Remote Sensing Techniques

Dear Colleagues,

Human beings live by water, and civilization thrives on water. The monitoring of water resources and the water environment is of great significance regarding the scientific use of water resources. Remote sensing data can provide rich spectral and spatial information for ground objects, making it possible to quantitatively monitor surface water resources and the water environment on a large scale. In this context, the processing and analysis techniques employed to obtain massive remote sensing images are crucial for monitoring water resources and the water environment.

Water resource and water environment monitoring includes the monitoring of water quality, water quantity and hydrology. With the rapid development of remote sensing technology and artificial intelligence, many novel technologies and methods have emerged regarding the application of water quality, water quantity and hydrology monitoring. This Special Issue aims to present studies that address the various uses of remote sensing data and techniques in water quality, water quantity and hydrology monitoring.

Water resources and water environment monitoring is one of the typical application scenarios of remote sensing technology. The research in this direction will promote the development and application of remote sensing technology. Therefore, the subject is suitable for the scope of Remote Sensing.

The scope of this Special Issue includes, but is not limited to, the following:

• Intelligent estimation method of water level and water volume.
• Deep learning for hydrology
• Data-driven hydrologic process learning.
• Intelligent extraction of waters with remote sensing images.
• Inversion models of water quality parameters.
• Detection and analysis of water changes with remote sensing images.
• Water pollution identification with remote sensing images.
• Novel application of remote sensing techniques in water resources and water environment monitoring.
• Deep learning and large model applied to water resources and water environment monitoring.
• Novel application of geographic information systems in water resources and environmental monitoring.

Prof. Dr. Xuchu Yu
Dr. Bing Liu
Dr. Qingyu Li
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 hydrological model
• hydrologic process
• water level monitoring
• water volume monitoring
• water body extraction
• inversion models
• change detection
• deep learning
• large model
• water pollution identification
• geographic information systems