ModEco

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”: 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. […]

Posted on Category: dataset, Dataset_Software Automatic multi-view lidar registration tool

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 […]

Posted on Category: Dataset_Software, software Python code examples and sample data of “LiDAR Principles, Processing and Applications in Forest Ecology”

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 […]

Comments Off on Python code examples and sample data of “LiDAR Principles, Processing and Applications in Forest Ecology”Category: Dataset_Software, software

“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. […]

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 […]

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 […]