Algorithms Exploration of Land Surface Temperature Retrieval from Satellites Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 29 December 2025 | Viewed by 40
Special Issue Editor
Interests: thermal infrared; hyperspectral; quantitative remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Satellite-derived land surface temperature (LST) data are critical for climate studies, urban heat island analysis, and agricultural monitoring. This process relies on algorithms that convert thermal infrared (TIR) radiation measured by satellites into accurate land surface temperature (LST) estimates, addressing challenges such as atmospheric interference and surface emissivity. In recent decades, significant advancements have been made in the theoretical understanding and methodological approaches for satellite data. Various LST retrieval algorithms have been developed from thermal infrared data, such as the single-channel and split-window/dual-window algorithms, which require known LSEs. Others, like the temperature and emissivity separation algorithm and the physics-based day/night algorithm, necessitate up-front atmospheric correction. Despite the capabilities of physics-based TIR models in describing electromagnetic wave interactions with complex surfaces, accurately and stably retrieving surface parameters from limited satellite observations remains a challenging task. In recent years, with the advancement of artificial intelligence (AI), the integration of AI with physical models, particularly through the incorporation of deep learning technologies, has the potential to significantly enhance the interpretation of remote sensing images and information extraction capabilities, marking a pivotal direction for future research. However, those issues, including spatial discontinuity caused by cloud cover, spatiotemporal incomparability due to wide-field scanners and anisotropy, as well as instantaneous characteristics, have limited the broader application of thermal infrared remote sensing.
This Special Issue focuses on “Algorithms Exploration of Land Surface Temperature Retrieval from Satellites Data”. Potential topics include but are not limited to the following:
- Approaches to dealing with thermal infrared remote sensing data, such as atmospheric effect correction, land surface temperature, and emissivity separation;
- Downscaling techniques to improve the spatial resolution of LST products;
- Land surface temperature reconstruction under cloud-covered areas;
- Studies on the validation of land surface temperature products.
Prof. Dr. Caixia Gao
Guest Editor
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 infrared sensors
- atmospheric effect correction
- land surface temperature and emissivity separation
- land surface temperature downscaling
- land surface temperature validation
- artificial intelligence
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.
