Andrew Michaelis
Papers
1
Total Citations
21
H-Index
1
About
Dr. Andrew Michaelis is a leading figure in remote sensing science, specializing in atmospheric correction and the exploitation of geostationary satellite data. His primary research focuses on developing advanced algorithms to process hypertemporal observations, enabling more accurate and dynamic monitoring of Earth’s surface properties. Michaelis’s major contribution is the creation of the GeoNEX-AC algorithm, a novel atmospheric correction method that departs from traditional spectral band ratio approaches. Instead, it uniquely leverages the diurnal variability captured by geostationary satellites to correct for atmospheric interference, a breakthrough that significantly enhances the quality of data from platforms like GOES and Himawari. This work, detailed in his highly cited 2022 paper (21 citations), has been instrumental in advancing the NASA GeoNEX project, which aims to produce consistent, high-quality land surface products. By solving a persistent challenge in remote sensing, Michaelis’s innovations are paving the way for more reliable environmental monitoring, from vegetation health to energy balance studies, making his research indispensable for both climate science and operational Earth observation.
Research Focus
Key Achievements
Top Papers
- 1