报告题目：Near real-time satellite remote sensing for disaster mitigation
报告人：葛林林副教授，澳大利亚新南威尔士大学
时间：2018年5月9日（星期三）下午3：00
地点：实验2号楼502室
报告摘要：
Recent developments make it possible to deploy high resolution remote sensing satellites with short revisit time at an affordable cost. But how can we take full advantage of these developments in order to better manage natural disasters? This talk will review a number of case studies on near real-time remote sensing for disaster mitigation: 1) 2015 Nepal earthquake, 2) 2010-2011 Queensland flood, 3) 2009 Victoria bushfire, and 4) 2008 Sichuan earthquake. Discussions will be around technical challenges involved and future research directions.
报告人简介：
Linlin is currently an Associate Professor of remote sensing and earth observation in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney, Australia. He has been studying earth observation techniques since 1985. Among many other prestigious awards, A/Professor Ge and his team’s work to support the Sichuan Earthquake rescue effort won them the highly prestigious JK Barrie Award for Overall Excellence at the 2008 Asia-Pacific Spatial Excellence Awards. He was named "NSW Scientist of the Year 2009" in the category Physics, Earth Sciences, Chemistry and Astronomy for his work in near real-time satellite remote sensing.
He received his BEng (1st Hons) in Optical Engineering from the Wuhan Technical University of Surveying and Mapping (1985), MSc in Crustal Deformation from the Institute of Seismology (1988), and PhD in GPS and remote sensing from the UNSW (2001). In 1997-1998, he was a postdoctoral research fellow in the Meteorological Research Institute of the Japan Meteorological Agency sponsored by the Science and Technology Agency of Japan.
Linlin is a Member of the IEEE (the Institute of Electrical and Electronics Engineers, Inc.) and a Life Member of the AGU (the American Geophysical Union). He is also a Principal Investigator for satellite missions such as Envisat, ALOS, COSMO-SkyMed, Radarsat-2 and ALOS-2.
