中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 植物研究所
  3. 中国科学院植物研究所
  4. 植被与环境变化国家重点实验室
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective

文献类型：期刊论文

作者Guo, Qinghua; Su, Yanjun1,5; Hu, Tianyu1,5; Guan, Hongcan1,5; Jin, Shichao1,5; Zhang, Jing1,5; Zhao, Xiaoxia1,5; Xu, Kexin1,5; Wei, Dengjie1,5; Kelly, Maggi4
刊名IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
出版日期2021
卷号9期号:1页码:232-257
关键词Laser radar Vegetation mapping Three-dimensional displays Surface emitting lasers Optical sensors Ecosystems Optical reflection
ISSN号2473-2397
DOI10.1109/MGRS.2020.3032713
文献子类Article
英文摘要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).
学科主题Geochemistry & Geophysics ; Remote Sensing ; Imaging Science & Photographic Technology
出版地PISCATAWAY
电子版国际标准刊号2168-6831
WOS关键词LASER-SCANNING DATA ; SINGLE-TREE-LEVEL ; ELEMENT CLUMPING INDEX ; CROP GROWTH-MODEL ; LEAF-AREA INDEX ; AIRBORNE LIDAR ; WAVE-FORM ; HIGH-RESOLUTION ; INDIVIDUAL TREES ; CANOPY HEIGHT
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
WOS记录号WOS:000641764700012
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) [XDA19050401, XDA24020202] ; National Key R&D Program of China [2017YFC0503905] ; Frontier Science Key Programs of the CAS [QYZDY-SSW-SMC011] ; National Natural Science Foundation of China [41871332, 31971575, 41901358] ; CAS President's International Fellowship Initiative [2019VTA0007] ; Natural Sciences and Engineering Research Council of Canada [RGPIN-2018-03851]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/26401]  
专题植被与环境变化国家重点实验室
作者单位1.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing, Peoples R China
2.Coops, Nicholas C.] Univ British Columbia, Dept Forest Resource Management, Vancouver, BC, Canada
3.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Qinghua,Su, Yanjun,Hu, Tianyu,et al. Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective[J]. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE,2021,9(1):232-257.
APA Guo, Qinghua.,Su, Yanjun.,Hu, Tianyu.,Guan, Hongcan.,Jin, Shichao.,...&Coops, Nicholas C..(2021).Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective.IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE,9(1),232-257.
MLA Guo, Qinghua,et al."Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective".IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 9.1(2021):232-257.

入库方式： OAI收割

来源：植物研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。