Knowledge Management System Of Institute Of Botany,CAS
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects | |
Jin, Shichao1,2,6; Sun, Xiliang1,2; Wu, Fangfang1,2; Su, Yanjun1,2; Li, Yumei3; Song, Shiling1,2; Xu, Kexin1,2; Ma, Qin4; Baret, Frederic5,6; Jiang, Dong; Ding, Yanfeng6; Guo, Qinghua1,2 | |
2021 | |
发表期刊 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING |
ISSN | 0924-2716 |
卷号 | 171页码:202-223 |
摘要 | Plant phenomics is a new avenue for linking plant genomics and environmental studies, thereby improving plant breeding and management. Remote sensing techniques have improved high-throughput plant phenotyping. However, the accuracy, efficiency, and applicability of three-dimensional (3D) phenotyping are still challenging, especially in field environments. Light detection and ranging (lidar) provides a powerful new tool for 3D phenotyping with the rapid development of facilities and algorithms. Numerous efforts have been devoted to studying static and dynamic changes of structural and functional phenotypes using lidar in agriculture. These progresses also improve 3D plant modeling across different spatial-temporal scales and disciplines, providing easier and less expensive association with genes and analysis of environmental practices and affords new insights into breeding and management. Beyond agriculture phenotyping, lidar shows great potential in forestry, horticultural, and grass phenotyping. Although lidar has resulted in remarkable improvements in plant phenotyping and modeling, the synthetization of lidar-based phenotyping for breeding and management has not been fully explored. We identify three main challenges in lidar-based phenotyping development: 1) developing low cost, high spatial-temporal, and hyperspectral lidar facilities, 2) moving into multi-dimensional phenotyping with an endeavor to generate new algorithms and models, and 3) embracing open source and big data. |
关键词 | Lidar Traits Phenomics Breeding Management Multi-omits |
学科领域 | Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
DOI | 10.1016/j.isprsjprs.2020.11.006 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | LEAF-AREA INDEX ; TERRESTRIAL LASER SCANNER ; WAVE-FORM LIDAR ; ESTIMATING ABOVEGROUND BIOMASS ; INDIVIDUAL TREE CROWNS ; DENSIFICATION FILTERING ALGORITHM ; ESTIMATING CANOPY STRUCTURE ; FIELD PHENOTYPING PLATFORM ; MARKER-FREE REGISTRATION ; DIFFERENT GROWTH-STAGES |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000604406500014 |
出版者 | ELSEVIER |
文献子类 | Review |
出版地 | AMSTERDAM |
EISSN | 1872-8235 |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences [XDA24020202] ; Beijing Municipal Science and Technology Project [Z191100007419004] ; Plant Phenomics Research Program of Science and Technology Department of Jiangsu Province [BM2018001] |
作者邮箱 | jinshichao1993@gmail.com ; qguo@ibcas.ac.cn |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/26386 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Nanjing Agr Univ, Plant Phen Res Ctr, 1 Weigang, Nanjing 210095, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Zool, Key Lab Anim Ecol & Conservat Biol, Beijing 100101, Peoples R China 5.Mississippi State Univ, Dept Forestry, Mississippi State, MS 39759 USA 6.INRA, Unite Mixte Rech 1114, Environm Mediterraneen & Modelisat AgroHydrosyst, F-84914 Avignon, France 7.Nanjing Agr Univ, Jiangsu Collaborat Innovat Ctr Modern Crop Prod, Nanjing 210095, Peoples R China |
推荐引用方式 GB/T 7714 | Jin, Shichao,Sun, Xiliang,Wu, Fangfang,et al. Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2021,171:202-223. |
APA | Jin, Shichao.,Sun, Xiliang.,Wu, Fangfang.,Su, Yanjun.,Li, Yumei.,...&Guo, Qinghua.(2021).Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,171,202-223. |
MLA | Jin, Shichao,et al."Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 171(2021):202-223. |
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