Methods and Applications of Geographic One-class Data We are interested in the theory and applications of geographic one-class data. One common problem with geographic data is that, for a specific geographic event, only occurrence information is available; information about the absence of the event is not available. We define these specific types of geospatial data […]
ModEco is a software package for ecological niche modeling. It integrates a range of niche models within a geographical information system. ModEco provides a user friendly platform that enables users to explore, analyze, and model species distribution data with relative ease. It contains a suite of functions such as data input/output, data visualization, feature analysis, […]
Shichao Jin, a PhD candidate of Digital Ecosystem Group, was selected and invited as one of the 10 excellent student representatives of University of Chinese Academy of Sciences (UCAS) to attend the 2019 International Student Research Forum. The Forum was hosted by South Denmark University on June 16th to June 20th. Students from China, United […]
The 5th workshop on LiDAR application in forest ecology was held by the Institute of Botany, the Chinese Academy of Science (IB-CAS), from June 2nd to 6th, 2019. More than 300 students from 100 organizations participated in this workshop. Guo Qinghua, professor of IB-CAS hosted the opening ceremony.
Dr. Fred Baret from French National Institute for Agricultural Research, Paris (INRA) visited our group on April 25th, 2019. He has established and led the UMT—CAPTE research team which is composed of around 20 members. He has supervised more than 40 PhD students and post-doctoral researchers. The total number of his published SCI papers has […]
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.
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, […]
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. […]
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 […]
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