摘要
自主创新能力的提高,关键在人才,核心在教育。为了培养“定量遥感”领域高素质的创新人才,2020年北京大学第十七届“定量遥感”暑期课程班结合听课学员关注的定量遥感前沿问题,举办了研究生线上学术讨论。学术讨论针对“定量遥感”理论、方法技术和应用中广泛关注的学术问题,举办了4场学术讨论,分别讨论了辐射传输机理、高光谱遥感混合像元分解、植被荧光遥感和无人机定量遥感应用与服务等4个方向的前沿进展。其中,“辐射传输机理”学术讨论主要从麦克斯韦方程组出发,讨论了用微观物理学阐释辐射传输理论的进展状况以及目前存在的局限性;“高光谱遥感混合像元分解”学术讨论主要聚焦在端元变异性研究的2个方面,即针对同一端元类别内的光谱变异性和不同端元类别之间的光谱相似性的讨论,深入探讨了高光谱遥感混合像元如何消除解混误差的理论与方法;“植被荧光遥感”学术讨论主要讨论了日光诱导叶绿素荧光(solar-induced chlorophyll fluorescence,SIF)遥感的应用进展,SIF从叶片内激发到传感器接收的过程及其作用机理,重点针对其中5个主要问题进行了深入讨论;“无人机定量遥感应用与服务”学术讨论围绕无人机定量遥感和应用服务等问题开展了深入讨论,普遍认为无人机定量遥感应用与服务在未来具有广阔前景。每场学术讨论由一名研究生作主题发言,参加人员围绕该主题申请发言,展开讨论与质疑,并就相关进展阐述个人观点或补充相关研究进展信息,主持人作总结发言。学术讨论通过bilibili网站在线直播,吸引了众多感兴趣的研究生和其他人员参与,拓展了定量遥感知识的传播,深化了对讨论问题的认识。
The key to improving the ability of independent innovation lies in talents and education.In order to cultivate high-quality innovative talents in the field of“quantitative remote sensing”,this summer course held an academic salon for graduate students in combination with the frontier issues of quantitative remote sensing that the trainees were concerned about.The academic salon held four academic salons aiming at the academic problems in the theory,method,technology and application of quantitative remote sensing.The mechanism of radiation transfer,the decomposition of hyperspectral remote sensing mixed pixels,the application and service of UAV quantitative remote sensing were discussed.Among them,the academic salon of“radiation transfer mechanism”mainly discussed the progress and limitations of radiation transfer theory from Maxwell’s equations to microcosmic physics.“Hyperspectral remote sensing mixed pixel decomposition”academic salon mainly focused on two aspects of endmember variability research,namely,the discussion of spectral variability within the same endmember category and the spectral similarity between different endmember categories.Participants deeply discussed the theory and method of how to eliminate the unmixing error of hyperspectral remote sensing mixed pixel.The“vegetation fluorescence remote sensing”academic salon mainly discussed the application progress of solar-induced chlorophyll fluorescence(SIF)remote sensing,the process and mechanism of SIF excitation from leaf to sensor and its mechanism.Participants discussed five main issues in depth.“UAV quantitative remote sensing application and service”academic salon focused on UAV quantitative remote sensing and multi aircraft cooperative networking earth observation and remote sensing application service in complex scenes.Participants believed that UAV quantitative remote sensing application and service has broad prospects in the future.In each academic salon,a graduate student made a keynote speech.The participants would apply for a speech around the topic,discuss and question,and elaborate personal views or supplement relevant research progress information on relevant progress.The host would make a summary speech.The online academic salon provided a new academic platform for graduate students to exchange and discuss the frontier progress of quantitative remote sensing.The academic salon attracted many interested graduate students and other personnel to participate through live broadcast of bilibili station,and expanded the dissemination of quantitative remote sensing knowledge.
作者
秦其明
陈晋
张永光
任华忠
吴自华
张赤山
吴霖升
刘见礼
QIN Qiming;CHEN Jin;ZHANG Yongguang;REN Huazhong;WU Zihua;ZHANG Chishan;WU Linsheng;LIU Jianli(School of Earth and Space Science, Peking University, Beijing 100871, China;Technology Innovation Center for Geographic Information System Technology, Ministry of Natural Resources, Beijing 100871, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;International Institute for Earth System Science, Nanjing University, Nanjing 210023, China;Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)
出处
《国土资源遥感》
CSCD
北大核心
2020年第4期8-15,共8页
Remote Sensing for Land & Resources
基金
国家自然科学基金项目(编号:41771371和42071314)共同资助。
关键词
线上学术讨论
辐射传输机理
混合像元分解
植被荧光遥感
无人机定量遥感
online academic salon
radiation transmission mechanism
mixed pixel decomposition
vegetation fluorescence remote sensing
UAV quantitative remote sensing