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Integrating AVHRR satellite data and NOAA ground observations to predict surface air temperature: a statistical approach
International Journal of Remote Sensing
Ground station temperature data are not commonly used simultaneously with the Advanced Very High Resolution Radiometer (AVHRR) to model and predict air temperature or land surface temperature. Technology was developed to acquire near-synchronous datasets over a 1 000 000 km 2 region with the goal of improving the measurement of air temperature at the surface. This study compares several statistical approaches that combine a simple AVHRR split window algorithm with ground meterological stationdoi:10.1080/01431160310001624593 fatcat:6wndjxggczg5jow7vsbipjln4q