| 基于遥感技术的植物非生物胁迫性研究进展 |
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| 引用本文： | 车永飞,肖策,王正庆,唐振平,宋静,李新春,王升,马艳.基于遥感技术的植物非生物胁迫性研究进展[J].南华大学学报(自然科学版),2020,34(2):34-41. |
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| 作者姓名： | 车永飞 肖策 王正庆 唐振平 宋静 李新春 王升 马艳 |
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| 作者单位： | 核工业北京地质研究院 遥感信息与图像分析技术国家级重点实验室,北京100029;南华大学 资源环境与安全工程学院,湖南 衡阳421001;衡阳市核燃料循环地质理论与技术重点实验室,湖南 衡阳421001;南华大学 资源环境与安全工程学院,湖南 衡阳421001;衡阳市核燃料循环地质理论与技术重点实验室,湖南 衡阳421001;稀有金属矿产开发与废物地质处置技术湖南省重点实验室,湖南 衡阳421001 |
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| 基金项目： | 国防科技重点实验室稳定支持项目子专题(遥ZS1902) |
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| 摘 要： | 利用遥感技术研究植物的非生物胁迫性具有明显的优势。首先介绍了Cu、Cd、Pb、Zn、Fe、U、干旱及水分等非生物因素胁迫下植物光谱曲线的特征,然后介绍了植物光谱信息的分析处理方法,最后对利用遥感研究非生物胁迫性进行了一定展望。
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| 关 键 词： | 遥感 植物 非生物胁迫 光谱 |
| 收稿时间： | 2019/11/29 0:00:00 |
Advances in Studies on Plant Abiotic Stress Based on Remote Sensing Technology |
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| CHE Yongfei,XIAO Ce,WANG Zhengqing,TANG Zhenping,SONG Jing,LI Xinchun,WANG Sheng,MA Yan.Advances in Studies on Plant Abiotic Stress Based on Remote Sensing Technology[J].Journal of Nanhua University:Science and Technology,2020,34(2):34-41. |
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| Authors: | CHE Yongfei XIAO Ce WANG Zhengqing TANG Zhenping SONG Jing LI Xinchun WANG Sheng MA Yan |
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| Institution: | National Key Laboratory of Remote Sensing Information and Image Analysis Technology,Beijing Research Institute of Uraniuim Geology,Beijing 100029,China;School of Resource Environment and Safety Engineering, University of South China,Hengyang,Hunan 421001,China;Hengyang Key Laboratory of Nuclear Fuel Cycle Geology Theory and Technology,Hengyang,Hunan 421001,China;School of Resource Environment and Safety Engineering, University of South China,Hengyang,Hunan 421001,China;Hengyang Key Laboratory of Nuclear Fuel Cycle Geology Theory and Technology,Hengyang,Hunan 421001,China;Hunan Key Laboratory of Rare Metal Minerals Exploitation and Geological Disposal of Wastes,Hengyang,Hunan 421001,China |
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| Abstract: | Using remote sensing technology to study abiotic stress of plants has obvious advantages.The characteristics of plant spectral curve under abiotic stress of Cu,Cd,Pb,Zn,Fe,U,drought and water are introduced firstly,then the analysis and processing methods of plant spectral information are introduced,and finally the prospect of plant Remote Sensing Research on abiotic stress is given. |
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| Keywords: | remote sensing plant abiotic stress spectral information |
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