Dr. Yumei Li was awarded the first-class funding of the 65th batch of the China Post-doctoral Science Fund

Dr. Yumei Li was awarded the first-class funding of the 65th batch of the China Post-doctoral Science Fund

On April 26, 2019, the China Postdoctoral Science Foundation announced the list of obtainer of China’s Post-doctoral Science Fund of the 65th batch. Yumei Li, a post-doctor of the digital ecology group, was awarded first-class funding. This fully affirms her excellent scientific research ability and good innovation ability.

Read Me

Dr. Maggi Kelly visited and gave a lecture on spatial data science

Dr. Maggi Kelly visited and gave a lecture on spatial data science

Dr. Maggi Kelly from University of California Berkeley (UC Berkeley) visited our group from March 30th to April 13th for discussing potential collaborations between UC Berkeley and Institute of Botany, Chinese Academy of Sciences. Dr. Kelly is currently a professor and cooperative extension specialist in the Environmental Science, Policy and Management department of UC Berkeley, and the director of the Geospatial Innovation Facility and Director […]

Read Me

“Forest3D”—- a python package for processing forest lidar data

Forest3D is a Python package for processing forest lidar data. It was developed by the digital ecosystem lab from institute of botany, Chinese academy of science. The purpose of Forest3D is providing a simple tool to deal with lidar data from different scanning platforms, e.g. airborne lidar scanners, terrestrial laser scanners and backpack lidar scanners. It will continually update and provide the function to generate […]

Read Me

The “New Generation China Vegetation Mapping” Seminar of Provincial Mapping was successfully held

The “New Generation China Vegetation Mapping” Seminar of Provincial Mapping was successfully held

From January 9th to 10th, 2019, the “New Generation China Vegetation Mapping” provincial mapping workshop was successfully held at the Institute of Botany, Chinese Academy of Sciences. This seminar is based on the “Biodiversity and Ecological Security” project of the “Global Data Science Project” of the Strategic Pilot Science and Technology Project (Class A) of the Chinese Academy of Sciences. This seminar invited more than […]

Read Me

The First UAV Industrial Innovation and Application Congress (2018) was successfully held at the Institute of Botany

The First UAV Industrial Innovation and Application Congress (2018) was successfully held at the Institute of Botany

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 at the Beijing Institute of Botany. The purpose of this […]

Read Me

Welcome! Prof. Roger Bales and Prof. Martha Conklin came for academic communication

Welcome! Prof. Roger Bales and Prof. Martha Conklin came for academic communication

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 and water security. Prof. Martha Conklin gave a lecture focusing […]

Read Me

Student of Digital Ecosystem Group Won the First Prize of the Postgraduate Academic Forum

Student of Digital Ecosystem Group Won the First Prize of the Postgraduate Academic Forum

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 field of crop phenotyping, i.e., the individual maize segmentation, stem-leaf […]

Read Me

Members of the Digital Ecosystem Group attended the 2018 International Geoscience and Remote Sensing Symposium (IGRASS)

Members of the Digital Ecosystem Group attended the 2018 International Geoscience and Remote Sensing Symposium (IGRASS)

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 progress and the latest scientific results in their respective fields. […]

Read Me

The 4th Workshop on LiDAR Application in Forest Ecology was successfully held!

The 4th Workshop on LiDAR Application in Forest Ecology was successfully held!

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 University, the University of Florida in the United States and […]

Read Me

Dr. Jin Wu was invited to give a lecture on May 14th, 2018

Dr. Jin Wu was invited to give a lecture on May 14th, 2018

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. Here, Dr. Wu introduced an integrative approach to predicting tropical […]

Read Me