Remote Sensing of Surface Water Systems at the Catchment to Global Scale: Measuring and Modelling Using Remote Sensing Techniques
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 1677
Special Issue Editors
Interests: remote sensing of lakes and reservoirs; interaction among lakes; climate change and human activities
Special Issue Information
Dear Colleagues,
Remote sensing has been proliferating in recent years. A series of recently launched satellites provide new data for understanding the water cycle and freshwater resources. Commercial satellites with hyper spatial and temporal resolutions are in orbit. Airborne remote sensing has been increasingly used for monitoring surface water systems. The improved remote sensing techniques and exponentially increased remote sensing data, accompanied with advanced analytical tools, provide unprecedented opportunities for monitoring surface water systems and informing water resources management at various spatial and temporal scales.
The aim of this Special Issue is to cover studies that use remote sensing to address scientific and operational challenges in river/lake science from local to global scales. Topics may include improving the ability of remote sensing to quantify surface water variables using new satellite and airborne remote sensing technologies (e.g., Sentinel-2, Sentinel-3, ICESat-2, SWOT, PlanetScope, and UAVSAR), advanced approaches (e.g., data fusion, machine learning, and data assimilation), or efficient analytical tools dealing with big remote sensing data. Studies that focus on pressing challenges of surface water resources, such as monitoring water quality, tracking flow and storage changes in small water bodies, and quantifying human alterations of surface water systems, are also encouraged.
Articles may address, but are not limited to, the following topics:
- Flow rate and velocity;
- Water storage;
- Water quality;
- Small rivers/lakes;
- Geomorphological status and evolution;
- Human regulations;
- Multi-sensor data fusion;
- Integration of remote sensing and modeling;
- Data assimilation;
- Machine learning and artificial intelligence.
Dr. Fangfang Yao
Dr. Dongmei Feng
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.
Keywords
- surface water quality
- water storage
- flow rate/velocity
- geomorphology
- hyperspectral remote sensing
- data fusion and assimilation
- machine learning
