Application of Remote Sensing in Inland and Coastal Water Monitoring
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 142
Special Issue Editor
Interests: interdisciplinary applications of the remote sensing, LiDAR, and photogrammetry; environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Inland waters (lakes, rivers, reservoirs) and coastal oceans are highly dynamic and biologically diverse ecosystems that are vital to the survival of humanity. However, these environments are increasingly vulnerable to unprecedented stressors, including climate change, urbanization, pollution, and eutrophication. Effective and continuous monitoring is essential for the sustainable management and protection of these vital water bodies.
While traditional in situ sampling is often limited by spatial and temporal constraints, remote sensing technologies—ranging from satellite and airborne sensors to Unmanned Aerial Vehicles (UAVs)—offer powerful, cost-effective tools for observing large-scale aquatic processes. Recent advancements in multi-spectral and hyper-spectral sensors, coupled with machine learning and big data analytics, have significantly enhanced our ability to retrieve accurate biogeochemical and physical parameters from complex water bodies.
This Special Issue seeks to gather the latest advancements, methodologies, and applications of remote sensing in aquatic environments. We invite researchers to submit original research articles, comprehensive reviews, and methodological papers.
Topics of interest include, but are not limited to, the following topics:
- Retrieval and monitoring of water quality parameters (e.g., Chlorophyll-a, SPM, CDOM, turbidity).
- Detection and tracking of harmful algal blooms (HABs) and marine pollution.
- Coastal geomorphology, shoreline dynamics, and shallow-water bathymetry.
- Monitoring of aquatic vegetation, coral reefs, and coastal wetlands.
- Integration of multi-sensor, multi-resolution, and time-series remote sensing data.
- Applications of artificial intelligence, machine learning, and novel algorithms in aquatic remote sensing.
- Synergies between remote sensing data and hydrodynamic/biogeochemical models.
Dr. Ting On Chan
Guest Editor
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. Water 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 2600 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
- remote sensing
- inland waters
- coastal monitoring
- water quality
- coastal wetlands
- machine learning
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