Introduction to the Lecture

Extreme events have become more frequent with global warming. Event remote sensing, from a new perspective, focuses on the changes of remote sensing signals caused by natural disasters, anthropogenic activities and extreme climate events, and uses these new signals to invert the surface parameters and evaluate the impact of the events. This lecture focuses on the concept, observation conditions and data processing methods of event remote sensing, and introduces the application potential of event remote sensing with desert precipitation event inversion and dry hot wind disaster as examples.

Profile of the Speaker

Chen Jin is a second-class full professor in the State Key Laboratory of Remote Sensing Science, Beijing Normal University. He has obtained Doctor of Engineering from Kyushu University, Japan, worked as postdoctoral fellow at the University of California, Berkeley, and the National Institute of Environment, Japan. He is serving as associate editor-in-chief of Journal of Remote Sensing and on the editorial board of Remote Sensing of Environment. Focusing on the key scientific and technical problems in the process of quality optimization of remote sensing data and intelligent retrieval of thematic information, Prof. Chen integrates the spatial-temporal coupling analysis method of geography and the physical mechanism of remote sensing, to conduct systematic research on data quality optimization, multi-source data fusion, crop intelligent classification, mixed pixel decomposition, change detection and so on. He has presided over more than 10 national research projects and published 210 SCI-indexed papers, including 28 papers in Remote Sensing of Environment, the most prestigious publication in the field of remote sensing, and has a total citation of more than 13,900 times by SCI, the highest citation of a single SCI-indexed paper exceeding1,500 times, and the SCI-H-index of 54. He has won 1 Second Prize for National Scientific and Technological Progress (ranked second) and 7 provincial and ministerial scientific and technological progress awards, and holds 21 authorized invention patents. Prof. Chen was elected as one of Highly Cited Chinese Researchers by in Elsevier and the list of top scientists in Stanford from 2019 to 2022 (2%). He has trained three scholars winning National Science Fund for Excellent Young Scholars and one scholar winning the Science Fund Program for Distinguished Young Scholars of the National Natural Science Foundation of China.