Monitoring and Assessment of Ecohydrological Evolution of River–Lake–Wetland Systems Based on Remote Sensing Big Data

Dear Colleagues,

River–lake–wetland systems play a crucial role in maintaining ecological balance, providing biodiversity habitats, and supporting various ecosystem services. These complex ecosystems are highly sensitive to both natural and anthropogenic changes, such as climate variability, land use alterations, and water management practices. Understanding the ecohydrological evolution of these systems is essential for effective environmental management and sustainable development. Recent advancements in remote sensing technologies and big data analytics have provided unprecedented capabilities to monitor and assess these dynamic systems at various spatial and temporal scales. This Special Issue aims to leverage these technological advancements to enhance our understanding of the ecohydrological processes and changes in river–lake–wetland systems.

This Special Issue seeks to bring together cutting-edge research that utilizes remote sensing big data to monitor and assess the ecohydrological evolution of river–lake–wetland systems. It aligns with the scope of Remote Sensing by focusing on the application of advanced remote sensing techniques and big data analytics to address critical environmental challenges. The goal is to provide a comprehensive overview of the current state of the art in this field, identify knowledge gaps, and propose innovative solutions for sustainable management and conservation of these vital ecosystems. By doing so, this Special Issue will contribute to the broader scientific community by offering valuable insights and practical tools for policymakers, environmental scientists, and practitioners.

This issue will contribute to the field of Remote Sensing by showcasing novel approaches for handling and analyzing large volumes of data from diverse sources. It will highlight how these techniques can be applied to complex ecohydrological systems, potentially leading to new methodologies and tools that can be used in other environmental monitoring contexts.

We invite submissions that cover a wide range of topics related to the ecohydrological evolution of river–lake–wetland systems using remote sensing big data. Potential themes include but are not limited to the following:

• Land Cover and Land Use Change Detection;
• Water Quality Monitoring;
• Hydrological Modeling and Assessment;
• Ecological Health and Biodiversity;
• Impact of Climate Change and Human Activities;
• Machine Learning and Data Analytics;
• Case Studies and Regional Assessments.

We welcome a variety of article types, including original research articles, review papers, short communications, and technical notes. Submissions should present novel methodologies, innovative applications, or significant advancements in the field of remote sensing for ecohydrological studies.

Dr. Yanfeng Wu
Prof. Dr. Hsiang-te Kung
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 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. 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.