Geographic One-class Data: Methods & Applications 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 as […]
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 […]
“绿途”众源植被图片数据分析平台-APP端是由中国科学院植物研究所植被与环境变化国家重点实验室数字生态课题组研发完成，通过众源采集，用户标记，专家判读得到覆盖全国尺度的植被分布信息，旨在服务于1：50万新一代中国植被图制作。 “绿途” APP主要用于植被数据采集，用户登录后可根据不同植被类型规范拍照，并添加群系信息或描述，当照片记录GPS信息符合要求后即可将数据上传至平台。“绿途”APP实现了支持免注册登录、离线采集、兴趣点标记、1:100万植被图叠加、离线地图、专家打点、群系类型模糊匹配等功能。WEB端是与APP端对应的专家审核系统，专家根据植被知识和野外经验对选区数据进行审核。审核内容主要是根据用户上传的三张照片，参考用户描述信息，确定植被类型。WEB端实现了历史数据上传、自定义斑块上传以及数据查询和下载等功能。该平台已经在山东、京津冀、广西和内蒙古等地区进行测试使用，并向全国29个省市自治区的植被专家和学者开展了推广和培训。该平台持续使用将源源不断地积累植被样点数据，为未来全国和区域尺度植被图更新提供了重要的数据和技术储备。 欢迎大家下载使用！