Recent Advances in Quantitative Thermal Imaging Using Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 21
Special Issue Editors
Interests: thermal infrared; renewable energy; GIS; thermal modelling
Special Issues, Collections and Topics in MDPI journals
Interests: infrared thermography; image processing; automation; deep learning; machine learning; defect detection; infrastructure conservation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Thermal remote sensing has become an essential tool for the quantitative analysis of land, water, atmosphere, and infrastructure dynamics. Advances in sensor technology, calibration techniques, and data processing have greatly enhanced the accuracy and utility of thermal imagery across a wide range of applications. From monitoring Land Surface Temperature and evapotranspiration to detecting heat anomalies in urban areas, wildfires, or industrial systems, quantitative thermal imaging is now central to environmental science, energy diagnostics, and geospatial analysis. The emergence of high-resolution thermal sensors, integration with AI, and multisource data fusion further extend the frontiers of what thermal remote sensing can achieve.
This Special Issue aims to gather innovative research and review articles that advance the theory, methods, and applications of quantitative thermal imaging using remote sensing platforms (e.g., satellite, airborne, UAV-based). It aligns with the journal’s scope by promoting interdisciplinary approaches and technological developments that enable robust environmental monitoring, hazard detection, and sustainable planning. We seek contributions that not only showcase cutting-edge science but also provide practical insights into processing chains, calibration protocols, and validation strategies.
We welcome submissions on topics including, but not limited to the following:
- Land Surface Temperature retrieval and modeling;
- Calibration and correction techniques for thermal sensors;
- Urban Heat Island detection and mitigation;
- Wildfire detection and thermal anomaly tracking;
- Integration of thermal data with machine learning and data fusion;
- UAV and satellite-based thermal mapping in agriculture or hydrology;
- Infrastructure and industrial monitoring using thermal imaging.
Both original research and review articles are encouraged.
Prof. Dr. Susana Lagüela López
Dr. Iván Garrido González
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
- thermal remote sensing
- land surface temperature
- sensor calibration
- urban heat island
- wildfire detection
- multisource data fusion
- artificial intelligence
- UAV thermal mapping
- infrastructure monitoring
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