Remote Sensing of Aquatic Ecosystem Monitoring

Dear Colleagues,

Remote sensing offers a systematic approach to monitoring vast aquatic environments, offering a comprehensive understanding of ecosystem dynamics over varying spatial and temporal scales. In this Special Issue, we curate a collection of articles that exemplify the most recent advancements, applications, and hurdles encountered in remote sensing for monitoring aquatic ecosystems, including aspects such as water quality, aquatic vegetation, algal blooms, and so on. Spanning from the tranquil depths of lakes and reservoirs to the meandering currents of rivers, these contributions underscore the transformative impact of remote sensing technologies in deepening our comprehension of aquatic ecosystems and their response to climatic and anthropogenic impacts. Moreover, they underscore the crucial role remote sensing plays in bolstering the sustainable management and conservation efforts aimed at preserving these invaluable natural resources.

The aim of this Special Issue is to provide a comprehensive overview of the latest advancements, applications, and challenges in remote sensing for aquatic ecosystem monitoring, including aspects such as water quality, aquatic vegetation, and algal blooms. By bringing together a diverse range of articles, we seek to showcase the transformative potential of remote sensing technologies in enhancing our understanding of aquatic ecosystems and supporting their sustainable management and conservation. Through empirical studies, methodological developments, and critical reviews, this Special Issue aims to contribute to the growing body of knowledge in this field and stimulate further research and innovation.

Theme: Advancements in Remote Sensing Technologies

Article Types: original research, review, methodological development

Description: Explore the latest innovations in remote sensing technologies applicable to aquatic ecosystem monitoring, such as advancements in satellite imaging, unmanned aerial vehicles (UAVs), hyperspectral imaging, LiDAR, and other remote sensing techniques.

Theme: Integration of AI Models in Remote Sensing Analysis

Article Types: original research, review, case study

Description: Investigate the application of artificial intelligence and machine learning techniques in analyzing remote sensing data for aquatic ecosystem monitoring, including the development of AI-driven classification algorithms, predictive modeling approaches, and data fusion methods.

Theme: Mechanistic Modeling of Aquatic Ecosystems

Article Types: original research, review, conceptual analysis

Description: Explore the use of mechanistic models to simulate and understand the dynamics of aquatic ecosystems based on remote sensing data, including models of nutrient cycling, species distribution, and ecosystem response to environmental drivers.

Theme: Long-term Monitoring and Analysis

Article Types: original research, longitudinal study, meta-analysis

Description: Present studies that utilize remote sensing data to analyze long-term trends and changes in aquatic ecosystems, including aspects such as water quality, aquatic vegetation, algal blooms, and so on. Additionally, the articles delve into how aquatic ecosystems respond to climatic and anthropogenic impacts, particularly those arising from extreme events and compound phenomena.

Dr. Yibo Zhang
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 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.

• aquatic ecosystem
• algal blooms
• aquatic vegetation
• artificial intelligence
• mechanism
• extreme events