Example：10.1021/acsami.1c06204 or Chem. Rev., 2007, 107, 2411-2502
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective IEEE Geoscience and Remote Sensing Magazine (IF8.225), 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).