Large-Scale Estimation of Hourly Surface Air Temperature Based on Observations from the FY-4A Geostationary Satellite

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 7; p. 1753
• Main Authors: Zhang, Zhenwei, Liang, Yanzhi, Zhang, Guangxia, Liang, Chen
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2023
• Subjects: Air temperature; Algorithms; Artificial satellites; Atmosphere; China; Comparative analysis; Computational linguistics; data collection; Datasets; Deep learning; Earth surface; Energy; Estimation; geostationary satellite; hourly resolution; Image processing; Land surface temperature; Language processing; large-scale estimation; Meteorological satellites; model validation; Natural language interfaces; Performance prediction; Remote sensing; Satellites; Sensors; Statistical methods; surface air temperature; surface temperature; Synchronous satellites; Variables; Vegetation; Very high frequencies; China

Spatially continuous surface air temperature (SAT) is of great significance for various research areas in geospatial communities, and it can be reconstructed by the SAT estimation models that integrate accurate point measurements of SAT at ground sites with wall-to-wall datasets derived from remotel...