Remote Sensing for Eutrophication Monitoring in Oceanic and Inland Water Bodies

Dear Colleagues,

Eutrophication, driven by an overabundance of nutrients, leads to harmful algal blooms (HABs) and oxygen depletion, posing significant threats to aquatic ecosystems, biodiversity, and water quality. This phenomenon, largely driven by agricultural runoff, wastewater discharge, and climate change, affects both inland and oceanic water systems, resulting in severe ecological, economic, and public health consequences. Monitoring eutrophication at a global scale is critical for managing water resources and mitigating its adverse effects.

Remote sensing, leveraging data from a variety of satellite and airborne assets, has emerged as a powerful tool to characterize and monitor eutrophication in both freshwater and marine environments. The integration of multiple remote sensing platforms—such as ocean color satellites, hyperspectral sensors, and aircraft systems—offers a unique opportunity to assess the spatial and temporal variability of eutrophication indicators, including chlorophyll-a and nutrient concentrations, harmful algal blooms, total suspended matter, and dissolved organic matter.

This Special Issue invites submissions that explore the use of remote sensing technologies to improve our understanding and monitoring of eutrophication in inland and oceanic water systems. We welcome contributions focused on the application of multi-platform remote sensing data, advancements in algorithms, and innovative methodologies that enhance the characterization of eutrophication processes.

We welcome submissions on a wide range of topics, including but not limited to the following:

• The use of multi-satellite and multi-sensor approaches to detect and monitor eutrophication in oceanic and inland waters.
• Integration of satellite, aircraft, and drone platforms for high-resolution eutrophication assessments.
• Remote sensing of HABs and nutrient loading.
• Application of hyperspectral data to characterize the biogeochemical processes driving eutrophication.
• Advances in algorithms for chlorophyll-a, phytoplankton composition, and water quality.
• Quantification eutrophication’s impacts on aquatic ecosystems using remote sensing.
• Case studies on eutrophication monitoring in coastal, estuarine, and freshwater systems.
• Combining remote sensing with in situ observations for comprehensive eutrophication monitoring.
• Assessing economic impacts of eutrophication on fisheries, tourism, and water resources using remote sensing data.
• Societal impacts of eutrophication, including public health risks and water management challenges, with remote sensing aiding the policy decision.
• Modeling the long-term impacts of eutrophication on biodiversity and ecosystem services with remote sensing data.

We encourage interdisciplinary contributions that combine remote sensing with oceanography, limnology, and biogeochemistry to address the challenges of eutrophication monitoring and management.

Dr. Jing Tan
Dr. Ishan Joshi
Dr. Zhigang Cao
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.

• ocean color
• eutrophication
• water quality
• multi-sensor data
• optical properties
• atmospheric correction
• marine ecosystems
• remote sensing data