以“塔群” 为核心的“立体-全息” 森林生态系统信息化观测研究方法体系

Translated title of the contribution: Methods of “Three-dimensional and Holographic” observation for forest ecosystems centered on “Multi-Tower”

Jiaojun Zhu, Tian Gao, Jinxin Zhang, Yirong Sun, Tao Sun, Zhihua Liu, Lizhong Yu, Deliang Lu, Fengyuan Yu, Dexiong Teng, Qiaoling Yan, Kai Yang, Lining Song, Xiao Zheng, Xugao Wang, Qingwei Wang, Yu Liang, Huidong Li, Lifang Liu, Shuang XuHuaqi Liu, Yanyang Hu, Xiufen Li, Zongguo Wang, Xinhua Zhou

Research output: Contribution to journalArticlepeer-review

Abstract

The research on forest ecology should develop towards more macroscopic and more microscopic at spatiotemporal scales, which has challenged traditional approaches for ecological observation. With the development of information technology, shifts in the research paradigm are critically needed. Based on Ker Towers as a CornerStone Research Infrastructure Project in Qingyuan Forest CERN, National Observation and Research Station, we propose a framework of “space-air-tower-ground” for integrated observation and research with the tower(s) as the center. The framework includes four components: active/passive satellite-based remote sensing (space), near-ground remote sensing platform by unmanned aerial vehicle with LiDAR and multi/hyperspectral sensors (air), tower group or single tower (tower), and long-term forest plot arrays (ground). Along with information technology such as the Internet of Things, cloud computation and artificial intelligence, data acquisition, transmission, computation, analyzation and display can be achieved to develop an information technology-based “three-dimensional and holographic” observation and research in forest ecology. This framework would promote knowledge innovation in forest ecology, ecosystem ecology, and forest science, and provide insights toward the paradigm shifts in geography, remote sensing science, boundary layer meteorology, and other disciplines.

Translated title of the contributionMethods of “Three-dimensional and Holographic” observation for forest ecosystems centered on “Multi-Tower”
Original languageChinese (Traditional)
Pages (from-to)3050-3054
Number of pages5
JournalChinese Journal of Ecology
Volume42
Issue number12
DOIs
StatePublished - Dec 1 2023

Keywords

  • Light Detection and Ranging (LiDAR)
  • eddy covariance
  • forest three-dimensional structure
  • holography
  • multi-scale data fusion

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