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. […]
Automatic multi-view lidar registration tool
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 […]
Python code examples and sample data of “LiDAR Principles, Processing and Applications in Forest Ecology”
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 […]
“Forest3D”: a python package for processing forest lidar data-1
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. […]
China forest AGB map-1
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 […]
Global forest AGB map-1
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 […]
Global forest woody residence time-1
Woody residence time is an important parameter that expresses the balance between mature forest recruitment/growth and mortality. Using field data collected from the literature, our group explored the global forest τw and investigated its influence on model simulations of aboveground biomass (AGB) at a global scale. We estimated the global 1 km τw using a random forest […]
“绿途”众源植被图片数据分析平台-APP端
“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！
Python code examples and sample data of “LiDAR Principles, Processing and Applications in Forest Ecology”-1
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 […]
Corrected SRTM DEM-1
SRTM (shuttle radar topography mission) DEM (digital elevation model) is a near-global terrain product with high accuracy, and has been widely used in many researches, such as hydrological survey, geological hazards assessment, and ecological protection. However, it has been proved that SRTM DEM is systematic higher than the real ground truth in vegetation regions, as […]