Dr. PU Ruiliang, a renowned remote sensing scientist and Associate Professor of the University of South Florida, visited RADI and delivered gave an academic report themed "Evaluation of Atmospheric Correction Methods on High Resolution Remote Sensing Images" on the 78th Academic Forum of RADI on May 26. About 40 researchers and graduate students attended the forum.
In his report, Dr. Pu explored issues on the importance and necessity of remote sensing data preprocessing and atmospheric correction. He presented detailed explanation of methods on multi-resource remote sensing data preprocessing and normalization, and evaluated common methods of atmospheric correction. With WorldView-2 (WV2) imagery in the City of Tampa, Florida, USA and in situ data by ASD spectrometer, he evaluated three atmospheric correction (AC) methods (a typical empirical modeling method, a radiative transfer modeling approach, and a combination of the both methods) in identifying urban tree species/groups, and tested whether atmospheric correction methods were necessary in urban tree species discrimination with the WV2 imagery. Subsequently, Dr. Pu presented special reports on ocean color remote sensing monitoring methods and how to write an English SCI paper.
Dr. Pu is currently the Associate Professor, Department of Geography, Environment, and Planning, University of South Florida, and an international renowned hyperspectral remote sensing scientist, with a research focus on hyperspectral remote sensing data processing and analyzing, remote sensing application on forestry and ecology, seagrass mapping and characterization, etc. He has published more than 70 papers and books in the most famous academic publications such as Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing. Meanwhile, he has been a reviewer of USA NASA, Canada NSERC and Belgian Science Policy research proposals and more than 20 journals’ papers in recent years.
