| 森林冠层叶片氮浓度高光谱遥感反演研究进展 |
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| 引用本文： | 于泉洲.森林冠层叶片氮浓度高光谱遥感反演研究进展[J].世界林业研究,2020,33(4):43-49. |
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| 作者姓名： | 于泉洲 |
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| 作者单位： | 聊城大学环境与规划学院,山东聊城252059 |
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| 基金项目： | 国家自然科学基金（31800367）；中国科学院重点部署项目（KFZD-SW-310）；聊城大学博士基金项目（318051530）。 |
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| 摘 要： | 氮素是植物生命活动所需的重要营养元素，在森林植被的光合作用和生态系统固碳方面起着关键作用。因此，理解森林叶片氮浓度在叶片和冠层（遥感像元）尺度上的高光谱特征，是开展森林冠层叶片氮浓度（CNC）遥感反演、优化森林碳循环模拟、应对气候变化的重要基础工作。当前，森林CNC的光谱特征提取受到冠层结构因素的影响，其高光谱遥感反演的理论亦不明确。文中通过梳理国内外大量植被叶氮高光谱反演的代表性研究成果，以时间为轴线从叶片和冠层2个尺度上进行文献综述，详细阐述当前国内外森林叶氮浓度高光谱遥感反演的主要方法、研究热点和面临的问题，并对近年来学界关于森林冠层结构在冠层叶片氮浓度遥感反演中的影响进行综述，并展望森林冠层叶氮浓度高光谱遥感反演的发展方向。
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| 关 键 词： | 森林冠层尺度 叶片尺度 叶片氮浓度 高光谱遥感 |
| 收稿时间： | 2019/10/12 0:00:00 |
| 修稿时间： | 2019/11/16 0:00:00 |
A Review of Hyperspectral Remote Sensing of Forest Canopy Foliar Nitrogen Concentration |
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| Yu Quanzhou.A Review of Hyperspectral Remote Sensing of Forest Canopy Foliar Nitrogen Concentration[J].World Forestry Research,2020,33(4):43-49. |
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| Authors: | Yu Quanzhou |
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| Institution: | School of Environment and Planning, Liaocheng University, Liaocheng 252059, Shandong, China |
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| Abstract: | Nitrogen is an important nutrient for plant life and activities and plays a key role in photosynthesis of forest vegetation and carbon sequestration of forest ecosystem. Therefore, the understanding of the hyperspectral characteristics of foliar nitrogen concentration on the scales of leaf and canopy (remote sensing pixels) is the base to carry out remote sensing inversion of forest canopy nitrogen concentration (CNC), optimize forest carbon cycle simulation and address climate change. At present, the spectral feature extraction of forest CNC is disturbed by canopy structure, and the theory of CNC remote sensing inversion is not clear. Therefore, the paper makes a literature review of the representative studies at home and abroad about hyperspectral inversion of leaf nitrogen in vegetation on the two scales of leaf and canopy with time as the axis. Then it elaborates the main methods, research hotspots and existing problems of hyperspectral remote sensing inversion of leaf nitrogen concentration, reviews the academic debates about the effect of forest canopy structure on this remote sensing inversion. At the end, the development direction of hyperspectral remote sensing inversion of CNC is prospected. |
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| Keywords: | forest canopy scale leaf scale leaf nitrogen concentration hyperspectral remote sensing |
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