Remote Sensing Tools for Monitoring Vegetation and Enhancing Biodiversity Conservation Strategies
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 15 May 2026 | Viewed by 1310
Special Issue Editors
Interests: remote sensing; plant ecology; plant physiology
Interests: remote sensing; plant community ecology; biodiversity; conservation biology; vegetation; ecosystem functioning; upscaling
Special Issue Information
Dear Colleagues,
In recent decades, the growing pressures of climate change, habitat loss, and anthropogenic activities have significantly impacted vegetation dynamics and biodiversity patterns worldwide. The accurate and timely monitoring of these changes is crucial for the development of effective conservation strategies. Remote sensing has emerged as a powerful tool to assess vegetation health, species distribution, ecosystem changes, and habitat fragmentation over large spatial and temporal scales. With advances in satellite technologies, unmanned aerial vehicles (UAVs), and image analysis algorithms, remote sensing now offers new opportunities for understanding ecological processes and supporting sustainable biodiversity management.
The primary aim of this Special Issue is to collect research and practical applications that utilize remote sensing technologies for monitoring vegetation and enhancing biodiversity conservation. We invite contributions that demonstrate how remote sensing supports the assessment, modeling, and prediction of ecological variables relevant to vegetation dynamics and biodiversity. The theme of this Special Issue is closely related to Remote Sensing topics, specifically to research on methodological innovations and multidisciplinary approaches in environmental monitoring. Hence, applications of remote sensing tecniques (e.g., multispectral, hyperspectral, and thermal) or multiscale approaches (e.g., from UAVs to satellites) to monitor vegetation dynamics and biodiversity are welcome.
Articles may address, but are not limited to, the following topics:
-Applications of UAV species mapping;
-Time-series analysis of vegetation indices;
-Upscaling approach in landscape monitoring;
-Land cover changes;
-Protected areas monitoring;
-Machine learning in remote sensing;
-Time-series analyses;
-Vegetation/habitat unsupervised classification;
-Remote monitoring of global change impact on vegetation;
-Remote sensing of wildfire impacts on vegetation.
Dr. Marco Vuerich
Dr. Giacomo Trotta
Guest Editors
Paolo Cingano
Guest Editor Assistant
Affiliation: Department of Environmental and Life Sciences (DSV), University of Trieste, Via Licio Giorgieri 5, 34127 Trieste, Italy
Email: PAOLO.CINGANO@phd.units.it
Webpage: https://dsv.units.it/en/department/people/doctoral-students?q=en/node/60842
Interests: remote sensing; plant ecology; seagrasses; coastal systems
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.
Keywords
- remote sensing
- upscaling approach
- vegetation dynamics
- biodiversity conservation
- global change impact
- machine learning technique
- hyperspectral and multispectral data
- time-series analyses
- vegetation indices (e.g., NDVI)
- vegetation mapping
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