1. Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
- Author
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Qinghua Guo, Jing Zhang, Xiaoxia Zhao, Kexin Xu, Hongcan Guan, Dengjie Wei, Nicholas C. Coops, Yanjun Su, Shichao Jin, Maggi Kelly, and Tianyu Hu
- Subjects
Data processing ,010504 meteorology & atmospheric sciences ,General Computer Science ,Ecology ,Perspective (graphical) ,0211 other engineering and technologies ,02 engineering and technology ,Vegetation ,01 natural sciences ,Optical reflection ,Lidar ,General Earth and Planetary Sciences ,Environmental science ,Lidar data ,Ecosystem ,Electrical and Electronic Engineering ,Urban ecosystem ,Instrumentation ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences - Abstract
The advent of lidar has revolutionized the way we observe and measure vegetation structure from the ground and from above and represents a major advance toward the quantification of 3D ecological observations. Developments in lidar hardware systems and data processing algorithms have greatly improved the accessibility and ease of use of lidar observations in ecological studies. A wide range of studies has been devoted to accurately measuring and modeling vegetation structural and functional attributes from lidar data across a range of spatial scales (from individual organs to global scales) and ecosystem types (e.g., forest, agricultural, grassland, and urban ecosystems).
- Published
- 2021