Advances in Multi-Sensor Remote Sensing for Vegetation Monitoring
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: 29 December 2025 | Viewed by 10
Special Issue Editors
Interests: vegetation remote sensing; biophysical parameter retrieval; multi-angle reflectance; polarized remote sensing; hyperspectral remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: post-fire disturbance; vegetation change; forest aboveground biomass estimation; forest carbon sequestration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Vegetation monitoring is pivotal for addressing global challenges such as climate change, food security, and biodiversity conservation. Multi-sensor approaches, integrating optical, radar, lidar, and hyperspectral data, enable variable insights into vegetation health, structure, and stress responses. Advances in data fusion, machine learning, and cloud computing have revolutionized applications like precision agriculture and carbon sequestration mapping. This Special Issue seeks to highlight cutting-edge research addressing sensor interoperability, scaling algorithms for local and global applications, and validating multi-sensor products across biomes, with a focus on novel methodologies, cross-disciplinary collaborations, and real-world applications.
This Special Issue aims to show cutting-edge methodologies and applications in multi-sensor vegetation monitoring. It aligns with Remote Sensing’s scope by advancing sensor integration, algorithm development, and data fusion. Topics cover novel fusion techniques, cross-sensor calibration, and scalable solutions for global ecosystems. By bridging gaps between technical innovation and real-world challenges (e.g., drought prediction, deforestation tracking), this Issue supports our aim to publish high-impact research across Earth sciences.
We encourage the submissions concerning advanced techniques/approaches that are relative to the multi-sensor data fusion (e.g., SAR–optical synergy, multispectral–hyperspectral integration, LIDAR–hyperspectral combination, and deep learning frameworks), vegetation stress monitoring using SIF, thermal, or optical remote sensing data, 3D structure mapping via LIDAR and SAR, and cross-disciplinary applications in agroecology, forestry, and climate change in various ecosystems. Articles integrating multi-temporal or multi-scale datasets are also welcomed.
Prof. Dr. Shan Lu
Prof. Dr. Chunying Ren
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
- SAR–optical synergy
- thermal–optical synergy
- LIDAR–optical synergy
- SIF–multispectral synergy
- vegetation biomass
- vegetation phenology
- vegetation mapping
- vegetation parameter inversion
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
