Special Issue "Remote Sensing for Land Surface Temperature and Related Applications"
Deadline for manuscript submissions: 30 April 2024 | Viewed by 342
Interests: urban environment; air pollution; thermal environment in cities; climate change adaptation
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Special Issue in Sustainability: Urban Climate Modeling and Assessment in Support of Sustainable Development
Land surface temperature (LST) is a key input parameter for climatic, urban, energy, agricultural, hydrological, ecological, and biogeochemical research. The LST is estimated via remote sensing techniques that are based on either aerial or spaceborne observations in the thermal infrared. A critical factor for the use of the spaceborne observations is the appropriate, per research area, mix of temporal and spatial resolutions. New algorithms are developed to support the improvement (downscaling) of the spatial resolution, whereas new spaceborne platforms provide the potential for more regular data. At the same time, the growth of cloud computing platforms, such as Google Earth Engine, has also opened the possibility for local-, regional-, or continental-scale studies on LST over extended time periods. Contributions toward LST-related applications in the field of climatic, urban, energy, hydrological, ecological, and biogeochemical research; on the development of algorithms for the improvement of the spatial resolution of data; on new satellite missions that can improve the temporal resolution of data; and on the use of cloud computing systems are welcome. Special consideration will be given to contributions that demonstrate the role of LST for energy studies, drought detection, and climate change adaptation or mitigation at the urban scale.
- Novel application of LST products.
- Studies exploring long-term series of LST as well as the link between the LST and other variables, through cloud computing platforms.
- LST as a predictor of atmospheric or climatic events.
- Using LST to improve land products, e.g., fire detection, land-cover classification, soil moisture retrieval, etc.
- Downscaling techniques to improve the spatial resolution of LST products.
- New satellite missions in support of the extraction of LST.
- LST and climate change.
- LST in relation to urban form, urban fabric, and urban functions.
- Inter-relationships between the near surface air temperature and LST.
- LST acquired by Unmanned Aerial Vehicles (UAVs).
Prof. Dr. Constantinos Cartalis
Dr. Ilias Agathangelidis
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.
- land surface temperature (LST)
- land products
- fire detection
- land-cover classification
- soil moisture retrieval
- spatial resolution
- LST and climate change
- urban form, urban fabric, and urban functions
- near surface air temperature
- thermal infrared remote sensing
- land surface energy fluxes and evapotranspiration
- downscaling and disaggregation techniques