Special Issue "Remote Sensing for Land Surface Temperature and Related Applications"

Dear Colleagues,

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.

Topics:

• 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
Guest Editors

Manuscript Submission Information

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• 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