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植被叶面积指数遥感反演研究现状与展望

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为客观了解植被叶面积指数(LAI)领域的研究现状、热点和发展趋势,本文通过文献计量法,对中国知网数据库中与LAI相关的2 937篇核心论文进行梳理与分析.结果表明,1992-2023年间,该领域的研究文献各年度发文量总体上呈倒"U"型分布,并于2014年达到峰值.杨贵军、黄文江、曹卫星等是该领域的核心作者;中国农业大学、中国科学院大学、西北农林科技大学为该领域贡献较突出的院校;《农业工程学报》《生态学报》《农业机械学报》在该领域的发表论文量较多.在此期间,通过LAI估算水稻、小麦、玉米等作物产量是研究的热点;同时,陆续有学者基于高光谱、无人机遥感等技术,优化参数以提升LAI反演精度,并将LAI应用于植被冠层结构、生态系统固碳释氧等研究中.LAI领域研究未来可能主要围绕无人机遥感、时空尺度、PROSAIL模型、机器学习等方向,致力于黄河流域生态环境保护以及植物多样性、功能性等研究.
Current status and prospects of remote sensing inversion of vegetation leaf area index
In order to objectively understand the research status,hotspots and development trends in the field of LAI,this paper sorts out and analyzes 2 937 core papers related to LAI in the CNKI database through the bibliometric method.The results show that:from 1992 to 2023,the annual publication volume of research literature in this field generally shows an inverted"U"distribution,and the volume of publications reach its peak in 2014.Yang Guijun,Huang Wenjiang,Cao Weixing,etc.are the core authors in this field;China Agricultural University,University of Chinese Academy of Sciences,and Northwest A&F University are institutions that have made outstanding contributions in this field;Transac-tions of the Chinese Society of Agricultural Engineering,Acta Ecologica Sinica,and Transactions of the Chinese Society for Agricultural Machinery have published more articles in this field.During this period,estimating the yield of crops such as rice,wheat,and corn through LAI is a research hotspot;meanwhile,some scholars have optimized parameters based on remote sensing technologies such as hyper-spectral and drones to improve the accuracy of LAI retrieval,and applied LAI to the research of vegeta-tion canopy structure,ecosystem carbon fixation and oxygen release.In the future,research in the field of LAI may focus on UAV remote sensing,space-time scale,PROSAIL model,machine learning,etc.,and focus on the protection of the ecological environment in the Yellow River Basin and the research on plant diversity and functionality.

LAIremote sensing inversionbibliometric

王利、武慧琳、徐甫

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陕西交通职业技术学院建筑与测绘工程学院 陕西西安 710018

自然资源部测绘标准化研究所 陕西西安 710054

长安大学地质工程与测绘学院 陕西西安 710054

叶面积指数 遥感反演 文献计量

陕西省教育厅项目陕西交通职业技术学院校级科研项目

23JK0336YJ23005

2024

测绘标准化
国家测绘局测绘标准化研究所

测绘标准化

影响因子:0.407
ISSN:
年,卷(期):2024.40(1)
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