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Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
IEEE Geoscience and Remote Sensing Magazine ( IF 16.2 ) Pub Date : 2020-12-25 , DOI: 10.1109/mgrs.2020.3032713
Qinghua Guo , Yanjun Su , Tianyu Hu , Hongcan Guan , Shichao Jin , Jing Zhang , Xiaoxia Zhao , Kexin Xu , Dengjie Wei , Maggi Kelly , Nicholas C. Coops

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).

中文翻译:


激光雷达促进 3D 生态观测和建模:回顾与展望



激光雷达的出现彻底改变了我们从地面和上方观察和测量植被结构的方式,代表了 3D 生态观测量化的重大进步。激光雷达硬件系统和数据处理算法的发展极大地提高了激光雷达观测在生态研究中的可访问性和易用性。广泛的研究致力于通过激光雷达数据准确测量和建模各种空间尺度(从单个器官到全球尺度)和生态系统类型(例如森林、农业、草原和城市生态系统)的植被结构和功能属性)。
更新日期:2020-12-25
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