所属学科： 地球物理,测绘与遥感
开始日期： 2014-06-11
结束日期： 2014-06-14
所在国家： 中华人民共和国
所在城市： 湖南省 长沙市
主办单位： 中南大学、中南林业科技大学、Indiana State University, USA
议题：Global Change and Sustainable Development: A Remote Sensing Perspective
会议主席： Prof. Siqi Zeng, Central South University of Forestry and Technology
组织委员会主席：
程序委员会主席： Qihao Weng, Indiana State University, USA
摘要截稿日期： 2014-01-20
联系人： 李志伟教授13574159478
联系电话： 86-731-88830573
E-MAIL： zwli@csu.edu.cn
会议网站： http://www.eorsa2014.org/
会议背景介绍：
Last week, I was pleased to receive a few copies of IEEE Geoscience and Remote Sensing Letters which contain a special stream of EORSA 2012 articles. In addition, seventy-three papers were selected for the inclusion in the IEEE Xplore Digital Library based on the reviews of abstracts and full papers. These publications are not the only legacies of EORSA 2012. During the two and a half days conference in Shanghai, there were over 200 attendees, representing 22 countries in the world. Keynote addresses, pre-conference workshops, special symposium on GEO Global Urban Observation and Information Task, the “Meeting with Editors” session, Huangpu River Cruise, are just a few events that may let the participants remember it for a long time. I, once again, thank all authors, participants, committee members, reviewers, and the student volunteers from all over China. The support of Profs. Guanhua Xu, Qixing Tong, and Yaqiu Jin are highly appreciated.
As I suggested in the closing session of EORSA 2012 in Shanghai, we shall quest for a richer and riper EORSA workshop in 2014. I am pleased to announce that Central South University of Forestry and Technology (CSUFT) and Central South University (CSU) have pledged to organize the 3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2014), and colleagues from these two institutes share my view. Changsha is an ideal locality, since there are strong needs and many applications in Earth observation and remote sensing technologies in the central China region and beyond. In Chinese language, “three” means “many”, “numerous”, and “excessive”. In the EORSA 2014, there will be a lot more technical sessions and exciting events, and greater possibility to connect with fellow researchers from all over the world.
We plan to continue with a special symposium on GEO Global Urban Observation and Information Task (SB-04). Furthermore, a special session will be scheduled to focus on remote sensing of forest resources. We welcome all researchers, especially young researchers and students, to join these sessions. It is my great hope that these symposia will lead to more extensive dialogues between the research communities of forest resources and those of sustainable cities. Worldwide urbanization and deforestation are the two main, interconnected ways that human activities are continually changing and reshaping the Earth’s surface. How Earth observation and remote sensing technologies can contribute to improve the knowledge of the productivity and sustainability of natural and human ecosystems is an important theme in the global change community.
The conference venue, Vaya International Hotel, is a deluxe ecological garden hotel with South China Garden and a modern golf course (http://www.vaya-hotel.cn/en-us/index.html). The organizers from CSUFT and CSU have negotiated with the hotel with discounted room rates, and plan to offer all participants with lunches and dinners at the hotel. So, be prepared to come to present your latest research, to learn from internationally renowned researchers, to network with scientists in academia, business and government worldwide, and to meet with tomorrow’s leaders in Earth observation and remote sensing.
Let’s have a nice “stay, play, and say” all together at once. I am looking forward to meet you all in Changsha in June.
征文范围及要求：
Themes:
Overall theme – Global Change and Sustainable Development: A Remote Sensing Perspective
Remote sensing of forests and ecosystems;
Land use and land cover change;
Urban remote sensing and sustainable development;
Remote sensing of coastal areas and wetlands;
Remote sensing of air and water quality;
Technologies and methods for monitoring subsidence of earth surface;
New data and sensors, algorithms and techniques for detection, interpretation, characterization, and modeling of the Earth surface features.
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