Advance your academic career, collaborate globally, and expand your network— join now !

Dr. Xiang Zhao

Share Link

Share

Information

Prof. Xiang Zhao is currently an Associate Professor at the Beijing Normal University, Beijing, China. From September 2001 to June 2006, Prof. Xiang Zhao completed their master's and doctoral studies in cartography and geographic information systems at Beijing Normal University. From 2008 to 2010, Prof. Xiang Zhao completed a postdoctoral study at Beijing Normal University. From 2006 to 2008, Prof. Xiang Zhao worked at the China Resources Satellite Application Center, and in 2010 went to work at Beijing Normal University. Prof. Xiang Zhao is mainly responsible for the teaching of remote sensing product processing, analysis and application, and resource and environmental remote sensing applications. Prof. Xiang Zhao’s research topics mainly include the impact of human activities on local climate, the response of vegetation growth to climate change, remote sensing extraction of typical surface elements, and high-performance remote sensing data processing.

Short Biography

Prof. Xiang Zhao is currently an Associate Professor at the Beijing Normal University, Beijing, China. From September 2001 to June 2006, Prof. Xiang Zhao completed their master's and doctoral studies in cartography and geographic information systems at Beijing Normal University. From 2008 to 2010, Prof. Xiang Zhao completed a postdoctoral study at Beijing Normal University. From 2006 to 2008, Prof. Xiang Zhao worked at the China Resources Satellite Application Center, and in 2010 went to work at Beijing Normal University. Prof. Xiang Zhao is mainly responsible for the teaching of remote sensing product processing, analysis and application, and resource and environmental remote sensing applications. Prof. Xiang Zhao’s research topics mainly include the impact of human activities on local climate, the response of vegetation growth to climate change, remote sensing extraction of typical surface elements, and high-performance remote sensing data processing.