Dr. Zhenfeng Shao earned, from the Wuhan University of Surveying and Mapping, a bachelor’s degree in surveying engineering (1998) and a master’s degree in cartography and remote sensing (2001). He received his PhD in Photogrammetry and Remote Sensing from Wuhan University in 2004. From 2004 to 2013, he worked at the State Key Laboratory of Surveying, Mapping, and Remote Sensing Information Engineering. Now, he is a professor in the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS) at Wuhan University. His research interests mainly focus on urban remote sensing applications. The specific research directions include high-resolution remote sensing image processing and analysis, key technologies, and applications from digital to smart cities and sponge cities. In 2018, he won the first prize award from the Chinese Society of Geodesy, Photogrammetry, and Cartography (CSGPC). One of his papers was awarded as the best paper at the International Conference on Artificial Intelligence and Big Data Analysis in 2018. He also won the first prize award from the China Association for Geographic Information Systems (CAGIS) in 2017 and the second prize of the National Technology Progress Award in China in 2015. In 2014, he won the Talbert Abrams Award in the field of photogrammetry and remote sensing in the USA. In 2012, he won the first prize award from the Chinese Society of Geodesy, Photogrammetry, and Cartography (CSGPC).