报告人：Prof. Maggi Kelly  University of California, Berkeley 

　　报告摘要：UAVs are increasingly used in vegetation science, management and other applications. This talk reviews some of the advantages of UAVs for vegetation analysis and includes case studies from my work mapping vegetation on various research properties in California. Examples include: (1) Machine Learning for feature extraction (citrus trees); (2) UAV imagery analysis of vegetation moisture stress; (3) habitat recovery after fire; and (4) outreach and STEM education. I also discuss some of the Grand Challenges for UAV science. 

　　报告人简介： 

　　Maggi Kelly is a Professor and Cooperative Extension Specialist based at University of California Berkeley (UCB). Her lab's motto is "mapping for a changing California", and she uses a range of techniques - remote sensing, UAV, object-based image analysis, geospatial modeling, lidar analysis, participatory webGIS and field methods - to answer applied questions about how and why California landscapes are changing, and what that change means for those who live on and manage our lands. She is Faculty Director of the UCB Geospatial Innovation Facility (GIF) and Director of the ANR Statewide Program in Informatics and Geographic Information Systems (IGIS), both of which are dedicated to bringing cutting-edge mapping technology, training, and research support to the ANR network, students, staff, faculty, and the public. She has published more than 130 journal articles. 

　　主持人：岳焕印  研究员 

　　时间：2019年4月10日（星期三）下午2:00 

　　地点：中科院地理资源所C321（原2321）会议室 

　　主办单位：资源与环境信息系统国家重点实验室