معرفی
Alex Gilerson is a Professor in the Department of Electrical Engineering at the City College of New York (CUNY), affiliated with the School of Engineering. He is also part of the CUNY-CREST Institute, Earth System Science and Environmental Engineering program, the Graduate Center, and NOAA-CESSRST. His research focuses on remote sensing, oceanography, and satellite technology, with a particular emphasis on atmospheric and oceanic data validation, polarimetric imaging, and environmental monitoring. Gilerson’s work involves developing algorithms for estimating water parameters, analyzing uncertainties in radiometric measurements, and improving satellite sensor calibration. He has conducted extensive fieldwork via ocean color calibration/validation cruises along U.S. coasts and Hawaii.
His research interests include satellite ocean color validation, polarimetric imaging of ocean surfaces, aerosol property retrieval, and neural network applications for environmental data analysis. Key contributions include advancements in PACE sensor validation, VIIRS ocean color calibration, and the use of hyperspectral and polarimetric techniques to study water and atmospheric interactions.
Gilerson’s publications highlight trends in improving remote sensing reflectance accuracy, reducing uncertainties in coastal water studies, and integrating machine learning for environmental parameter estimation. He collaborates on interdisciplinary projects with NOAA and international teams, emphasizing data-driven approaches to environmental challenges.
No scientific awards or grants are explicitly listed in the provided text. His work is characterized by a strong focus on field validation, algorithm development, and bridging remote sensing with applied environmental science.
