Remote Sensing and Time-Series Analysis to Track Ecosystem Transitions
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 1900
Special Issue Editors
Interests: remote sensing application; forestry; water security; water governance; new technologies; satellite images
Interests: remote sensing application; ecology; water science and technology; computers in earth sciences; forestry; satellite images
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Ecosystems are constantly transforming due to natural and anthropogenic factors, including climate change, land-use changes, and pressure on water and forest resources. The combination of remote sensing, machine learning, and time-series analysis has become an essential tool for detecting, characterizing, and predicting ecosystem transitions at different spatial and temporal scales.
We are pleased to invite you to submit your contributions to this Special Issue on "Remote Sensing and Time-Series Analysis to Track Ecosystem Transitions". This Special Issue will cover studies that utilize remote sensing technologies (satellite imagery, LiDAR, UAVs), advanced data analysis techniques, and predictive models to monitor ecosystem transitions. Contributions are welcome that address both green (forests, grasslands, agroecosystems) and blue areas (rivers, lakes, wetlands, coastal zones). Relevant topics include but are not limited to ecosystem dynamics, landscape fragmentation, extreme events, adaptive management strategies, and the impact of human activities and climate change on ecosystems.
This Special Issue aims to discuss innovative research on the use of remote sensing, machine learning, and time-series analysis to monitor changes in the structure, function, and dynamics of ecosystems. The focus is on ecological connectivity, environmental degradation, ecological restoration, and ecosystem resilience in the face of global change. Contributions are welcome that address both green areas (forests, grasslands, agroecosystems) and blue areas (rivers, lakes, wetlands, coastal zones).
Research articles and reviews will be considered. Research areas may include (but are not limited to) the following:
- Ecosystem dynamics;
- Landscape fragmentation;
- Extreme events;
- Adaptive management strategies;
- Monitoring ecosystem transitions;
- Impact of climate change and human activities;
- Ecological restoration and resilience;
- Remote sensing methodologies (satellite imagery, LiDAR, UAVs);
- Predictive modeling and machine learning.
We look forward to receiving your contributions.
Prof. Dr. Carolina Acuña-Alonso
Prof. Dr. Xana Álvarez Bermúdez
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
- remote sensing
- ecosystem transitions
- time-series analysis
- machine learning
- ecological connectivity
- environmental degradation
- ecological restoration
- predictive models
- LiDAR
- UAVs
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