Global forest ecosystems form a large carbon pool, and are a critical component of the global carbon cycle. Accurate estimations of global forest aboveground biomass (AGB) will improve understanding of global carbon dynamics and help quantify anthropogenic carbon emissions. Light detection and ranging (LiDAR) techniques have been proven to accurately capture both horizontal and vertical […]
The global forest ecosystem, which acts as a large carbon sink, plays an important role in modeling the global carbon balance. An accurate estimation of the total forest carbon stock in the above ground biomass (AGB) is therefore necessary to improve our understanding of carbon dynamics, especially against the background of global climate change. In […]
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, […]
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. […]
Light detection and ranging (lidar) can be used to accurately estimate forest structure attributes using the rich three-dimensional (3D) information within the lidar point clouds， and has been proven to be highly useful for forest inventory practices. Currently, airborne, unmanned aerial vehicle (UAV)-borne, mobile, and terrestrial lidar systems are the most commonly used lidar platforms […]
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 […]
Vegetation maps provide crucial information for ecological studies, biodiversity conservation, vegetation management and restoration, and national strategic decision making. The current vegetation map of China was produced by a team of more than 250 scientists over the course of two decades starting in the 1980s, who spent a huge amount of efforts to manually delineate […]
Environmental perception and high-precision positioning are the core research contents of self-driving. These factors help cars obtain accurate real-time positioning information and make correct path planning decisions. However, some problems still exist, including difficulty in recognizing and efficiently realizing complete road mapping, inadequate automation, poor positioning robustness, and so on. To solve these problems, based […]
Knowledges about processing of interactions within organisms, between organisms and environment form bedrock of understanding how ecosystem organized. Interactions in forest ecosystem are inferred from patterns of spatial-temporal co-occurrence or avoidance in physical space. Based on the complexity of three-dimensional (3D) ecosystem, ecologists urgently need accurate in-situ data to construct nonlinear relationships and describe complex […]
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.