Thermal remote sensing is an increasingly popular technique employing passive sensors to detect Earth’s surface properties from the emitted radiation in the Thermal Infrared (TIR) domain. The main focus of TIR remote sensing is the evaluation of the thermal state of an object or surface, and its associated surface temperature and emissivity. These properties are widely relevant in several frameworks for geological, environmental, climate, agricultural, biological, and engineering purposes.
Recent technological advancements have supported the development of the TIR remote sensing, as satellite sensor and data infrastructure systems are now able to collect and manage a large amount of high-fidelity TIR data with different spatial and temporal resolutions. Further, beside the airborne- and ground-based measurement systems, the Unmanned Aerial Systems (UAS) and drones are increasingly considered as versatile platforms concerning the temporal resolution ensuring high spatial resolution.
This session aims to deal with the main emerged and still emerging research directions of TIR remote sensing, as well as discussing the next challenges for this community. Examples of welcome contributions are the new frontiers, case studies, and data integration analysis related to:
• Geosciences: volcanoes, hydrothermal systems, geothermal potential, mineral exploration, rare earths, cryosphere.
• Climate, Urban Systems, and Ecosystems: urban heat islands, global warming impacts, ecosystem stress, forest health, fire risk assessment, water management.
• Agriculture and Precision Farming: crop stress monitoring, irrigation management, soil analysis and pest/disease monitoring.
• Technological and Methodological Innovations: new sensors for satellite, airborne, UAS and in-situ platforms, multi-platform and/or multi-sensor data integration, Cal/Val activities.
• Data Processing and Infrastructure: approaches for managing and processing large TIR datasets, data fusion techniques, advanced algorithms for atmospheric correction and temperature and emissivity separation.
Multi-disciplinary studies and contributions from the Early Career Scientists are welcome.