Spatial Intelligence & Geo-Foundation Models Research Group Our research group focuses on the core domains of Spatial Intelligent Perception and Autonomous Navigation, driven by the frontier of Geospatial Intelligence (GeoAI). We integrate cutting-edge technologies including LiDAR SLAM, photogrammetry, and multi-source information fusion, with a strategic emphasis on Geospatial Foundation Models. To meet the operational requirements […]
Global Vegetation Products (1) Global forest AGB map in 2004 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. In this study, we mapped the […]
Regional Vegetation Products Forests tree height across the Sierra Nevada 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 […]
This book systematically explains the principles of LiDAR technology and, using the LiDAR360 software platform as an example, provides detailed instructions on LiDAR point cloud data processing and its applications in various fields. It is divided into three parts and comprises fifteen chapters. The first part, Chapter 1, provides an overview of LiDAR technology, its […]
Vegetation is a crucial component of ecosystems, playing a vital role in maintaining biodiversity, regulating climate, and protecting soil and water resources. As one of the countries with the most diverse vegetation types in the world, China’s vegetation resources carry significant ecological functions and environmental benefits. In recent years, due to both natural and human […]
Environmental Change and Terrestrial Ecosystem Response Changes of forest quality are composed by the changes in forest structure and species composition, which are usually caused by tree growth, anthropogenic activities (e.g., forest treatment, logging), and environmental disturbances (e.g., drought, flood, and wildfire). To quantitatively assess forest structure changes from multitemporal lidar data, we proposed an […]
Global forest woody residence time by random forest method 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. […]
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, […]