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遥感技术在烟草长势监测及估产中的应用进展
引用本文:吕小艳,竞霞,薛琳,徐海清,张超,黄健熙.遥感技术在烟草长势监测及估产中的应用进展[J].中国农学通报,2020,36(25):137-141.
作者姓名:吕小艳  竞霞  薛琳  徐海清  张超  黄健熙
作者单位:1.西安科技大学测绘科学与技术学院,西安 710054;2.安徽皖南烟叶有限责任公司,安徽宣城 242000;3.中国农业大学土地科学与技术学院,北京 100083
基金项目:安徽皖南烟叶有限责任公司科技项目“基于多源卫星数据的烟草长势判断与估产模型构建”(20190563005);国家自然科学基金“反射率与叶绿素荧光协同的小麦白粉病早期探测机理与方法研究”(41601467)
摘    要:烟草长势信息是烟草生产管理的重要依据,全面了解遥感技术在烟草长势监测及估产中的应用进展,为利用遥感技术支撑科学化、精细化烟田管理提供科学参考。在对相关文献分析和归纳的基础上,从地面光谱、无人机遥感、卫星遥感3种尺度对目前遥感技术在烟草长势监测与估产方面的应用进行系统总结,并对进一步研究进行展望。(1)基于地面光谱对烟草的监测,主要是利用反射率光谱及其不同的变换形式、光谱指数和光谱位置变量估测其生理生化参量(氮、磷、钾、生物量、叶面积指数、叶绿素等),为诊断烟草生长、健康状况、成熟度提供依据,进一步实现烟草长势监测、估产与品质评定。(2)利用无人机遥感技术能够在小尺度上对作物的面积进行提取、监测长势及估产,但受搭载相机分辨率、地形、自身稳定性等影响,不能监测烟草的细微变化。(3)参考LandSat、SPOT、MODIS、HJ-1等光学遥感数据以及SAR数据,利用遥感影像融合、分类等技术能够实现对大面积烟田病害、长势进行监测和产量估计。结合多源、多平台遥感数据,对烟草的参数进行定量研究,并利用同化技术对大尺度上烟草生长过程进行动态监测,来探索烟草的最佳采收期是未来研究的重点。

关 键 词:遥感技术  烟草  长势监测  估产  综述  
收稿时间:2019-08-07

Remote Sensing Technology Applied in Growth Monitoring and Yield Estimation of Tobacco: A Review
Lv Xiaoyan,Jing Xia,Xue Lin,Xu Haiqing,Zhang Chao,Huang Jianxi.Remote Sensing Technology Applied in Growth Monitoring and Yield Estimation of Tobacco: A Review[J].Chinese Agricultural Science Bulletin,2020,36(25):137-141.
Authors:Lv Xiaoyan  Jing Xia  Xue Lin  Xu Haiqing  Zhang Chao  Huang Jianxi
Institution:1.College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054;2.Anhui Wannan Tobacco Leaf Co., Ltd., Xuancheng Anhui 242000;3.College of Land Science and Technology, China Agricultural University, Beijing 100083
Abstract:Tobacco growth information is an important basis for tobacco production management. Through a comprehensive understanding of the application of remote sensing technology in tobacco growth monitoring and yield estimation, the study aims to provide a scientific reference for the use of remote sensing technology in refined tobacco field management. Based on reviewing relevant literatures, the application of remote sensing technology in tobacco growth monitoring and yield estimation was systematically summarized from three scales of ground spectrum, UAV(unmanned aerial vehicle) remote sensing, and satellite remote sensing, and the prospect of further research was also discussed. (1)Based on the ground spectrum, the physiological and biochemical parameters (nitrogen, phosphorus, potassium, biomass, leaf area index, chlorophyll, etc.) of tobacco were estimated by reflectance spectrum and its different transformation forms, spectral index and spectral position variables, providing a basis for the diagnosis of tobacco growth, health status and maturity. Tobacco growth monitoring, yield estimation and quality evaluation could be realized. (2) UAV remote sensing technology could be used to extract tobacco areas on a small scale, monitor and estimate yield, but it could not monitor the subtle changes of tobacco due to the influence of the resolution, terrain and self stability of the camera. (3) With optical remote sensing data such as LandSat, SPOT, MODIS HJ-1, etc., as well as SAR data, by remote sensing image fusion, classification and other technologies, large-area tobacco field disease, growth monitoring and yield estimation could be achieved. The future research will focus on quantitatively studying the tobacco parameters by combining with multi-source and multi-platform remote sensing data, and conducting the dynamic monitoring of tobacco growth process on large scale by assimilation technology, thus to explore the optimal harvest time of tobacco.
Keywords:remote sensing technology  tobacco  growth monitoring  yield estimation  review  
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