A Downscaling Method Based on MODIS Product for Hourly ERA5 Reanalysis of Land Surface Temperature

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 18; p. 4441
• Main Authors: Wang, Ning, Tian, Jia, Su, Shanshan, Tian, Qingjiu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2023
• Subjects: Algorithms; Clouds; Comparative analysis; Datasets; Distribution; downscaling; Earth temperature; Electronic data processing; ERA5 reanalysis data; Forecasts and trends; Iterative methods; Land cover; Land surface temperature; Measurement; Model accuracy; MODIS; Neural networks; Pixels; Radiation; Regression analysis; Regression models; Remote sensing; Satellite imaging; Satellites; Spacecraft; Spatial discrimination; Spatial distribution; Spatial resolution; Support vector machines; surface temperature; Technology application; temporal alignment; Temporal resolution; Vegetation; Weather forecasting; Weather stations; China

Land surface temperature (LST) is a critical parameter for the dynamic simulation of land surface processes and for analyzing variations on regional or global scales. Obtaining LST with high spatiotemporal resolution is a subject of intensive and ongoing research. This study proposes a pixel-wise te...