On October 11-12, 2018, the First UAV Industrial Innovation and Application Congress (2018), sponsored by the UAV Application and Control Research Center of the Chinese Academy of Sciences and organized by the Digital Ecosystem Group of the State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, was successfully held […]
Prof. Roger Bales and Prof. Martha Conklin were invited to give lectures on September 10, 2018, at Institute of Botany, Chinese Academy of Sciences. Prof. Roger Bales gave a talk about “Making up for lost snow: lessons from a warming Sierra Nevada”, focusing on five aspects: mountain climate, water balance, snow monitoring, California drought conditions […]
Jin shichao, a PhD candidate of the digital ecology group, won the first prize and the best popularity prize of the 2018 Postgraduate Academic Forum of institute of botany, Chinese academy of sciences. His speech them is “A Deep Learning Pipeline for High-Throughput Maize Phenotyping from Lidar Data”, which introduced three main advancements in the […]
2018国际地球科学与遥感研讨会于7月22-27日在西班牙瓦伦西亚举办，本次会议主题着重于“观察，理解和预测我们星球动态变化”，2000多名来自世界各地的科研工作者参加了会议，分享最前沿的科研进展。数字生态研究组苏艳军副研究员和李玉美、马勤博士参加了本次大会。 苏艳军副研究员做了题为“无人机及背包激光雷达系统在林业调查中的应用”的特邀报告，展示了研究组在激光雷达硬件集成、算法研发、软件开发等领域的工作成果，马勤博士做了题为“利用多时相激光雷达数据进行单木层级的林火灾害评估”的报告，李玉美博士以墙报形式展示了研究组的最新研究成果，与国际学者进行了广泛的交流。 三位成员展示了研究组在生态遥感领域研究中所作的贡献，提高了学术成果的影响力，同时，也使研究组更清楚地了解了最新的国际发展，进一步完善研究方向。 苏艳军副研究员在研讨会上作特邀报告 李玉美博士为参会人员介绍研究组成果 马勤博士在研讨会上作报告
The 2018 International Geoscience and Remote Sensing Symposium (IGRASS) has been held in Valencia, Spain on July 22-27, 2018. The theme for IGARSS 2018 highlights the pressing demands for “Observing, Understanding and Forecasting the Dynamics of Our Planet”. More than 2,000 researchers from all over the world attended the meeting and shared the significant research […]
From June 20th to 24th, 2018, The 4rd workshop on LiDAR Application in Forest Ecology, organized by the Digital Ecology Research Group, was held at the Institute of Botany, Chinese Academy of Sciences. Nearly 300 students from more than 80 universities and research institutes, including the Chinese Academy of Sciences, Peking University, Wuhan University, Fudan […]
Tropical forest photosynthetic metabolism helps sustain the ecosystem productivity and biodiversity, and largely regulates large-scale carbon and water cycling, generating various important climate feedbacks at regional and global scales. However, considerable uncertainties remain regarding how best to represent tropical forest photosynthesis in current Earth system models (ESMs), especially its sensitivity to climatic vs. biotic variation. […]
LiDAR Principles, Processing and Applications in Forest Ecology (in Chinese) Light detection and ranging (LiDAR), as an emerging active remote sensing technology, provides a new three-dimensional (3D) view for ecology studies. It pushes ecology studies to transform from two-dimensional to 3D. This book introduces the principle of LiDAR technology and how to collect and process […]
Dr Su Yanjun, a member of the Digital Ecosystem Group (graduated in 2017), won the 2017 Chinese Government Scholarship for Outstanding Self-financed Overseas Students. This scholarship is approved by the Ministry of Education of the People’s Republic of China and is set up by the China Scholarship Council, which is implemented in 33 major countries, […]
专项网概况 中国生物多样性监测研究网络综合中心由近地面遥感监测、环境因子监测和数据汇交管理服务三个平台构成，通过多源传感器获取包括环境因子、地形要素在内的从树木构件-单木-样方群落-局地景观水平的统一高分辨率三维生境数据和高光谱影像数据。本综合中心建设的平台项目预期实现的科学目标为实现多参数的天地一体化综合监测研究以及实现多尺度、多站点、多生境的联网研究。最终促进整个领域能够开展景观尺度上生物多样性、生态系统功能演变以及作用机制的整合性研究。 监测工作进展 1 古田山无人机近地面遥感监测 2016年10月近地面遥感监测平台在古田山开展大面积遥感监测工作。航飞时激光雷达航带间重叠度到达30%，影像航向重叠度60%，旁向重叠度30%，航线向外延伸一条，保证作业区完全覆盖。激光雷达作业基本完成，设计作业区域为2.6平方公里，实际作业面积6平方公里。采集的激光雷达点云数据平均点云密度在每平方米19.7个点左右，并制作航飞区域DEM、DSM、冠层高度模型（CHM）、冠层覆盖度、叶面积指数等产品。在古田山开展高光谱预实验，共飞行高光谱作业两个架次，作业面积分布为0.75平方公里，1.2平方公里。 2 长白山无人机近地面遥感监测 2017年8月初至9月中旬，完成了长白山北坡10平方公里森林区域的激光雷达和可见光影像近地面遥感作业，覆盖了Sino-Bio网络中两块大型森林动态监测样地—25公顷阔叶红松林样地和24公顷次生杨桦林样地。2017年的作业总共获取10km2的LiDAR数据和正射影像。LiDAR数据采用Li-AIR PRO 作业，飞行高度为100m，飞行速度为4.5m/s，获取的激光雷达数据点密度约为100pts/m2。目前，数据在处理中，已经生产了部分空间分辨率为1米的DEM、DSM和CHM，以及空间分辨率为10米的覆盖度、空隙率和叶面积指数。正射影像采用固定翼飞机获取，飞行高度约200米，飞行速度15.9m/s，最终获取的正射影像数据空间分辨率为5cm。 数据共享 根据专项网政策，获取的数据将免费提供。由于获取的数据量比较大并且激光雷达存在高精度地形，在线共享只提供了两个区域的部分示例数据及产品。如果需要更多数据，需要离线申请，请发邮件联系。