Data description: Airborne laser scanning (ALS) data is one of the most commonly used data for terrain products generation. Filtering ground points is a prerequisite step for ALS data processing. Because canopy cover and terrain slope are various in forested environments, filtering in forested environments is more challenging than filtering in other environments, such as […]
Mangrove forest ecosystems are distributed at the land–sea interface in tropical and subtropical regions and play an important role in carbon cycles and biodiversity. Accurately mapping global mangrove aboveground biomass (AGB) will help us understand how mangrove ecosystems are affected by the impacts of climatic change and human activities. Light detection and ranging (LiDAR) techniques […]
Forests of the Sierra Nevada (SN) mountain range are valuable natural heritages for the region and the country, and tree height is an important forest structure parameter for understanding the SN forest ecosystem. There is still a need in the accurate estimation of wall-to-wall SN tree height distribution at fine spatial resolution. In this study, […]
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 […]
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 […]
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 […]
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 […]