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[高光谱遥感反演植被氮含量研究进展]

[Progress in inversion of vegetation nitrogen concentration by hyperspectral remote sensing].

作者信息

Wang Li-Wen, Wei Ya-Xing

机构信息

Center for Marine Economic and Sustainable Development, Liaoning Key Laboratory of Physical Geography and Geomatics, and College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Oct;33(10):2823-7.

Abstract

Nitrogen is the necessary element in life activity of vegetation, which takes important function in biosynthesis of protein, nucleic acid, chlorophyll, and enzyme etc, and plays a key role in vegetation photosynthesis. The technology about inversion of vegetation nitrogen concentration by hyperspectral remote sensing has been the research hotspot since the 70s of last century. With the development of hyperspectral remote sensing technology in recent years, the advantage of spectral bands subdivision in a certain spectral region provides the powerful technology measure for correlative spectral characteristic research on vegetation nitrogen. In the present paper, combined with the newest research production about monitoring vegetation nitrogen concentration by hyperspectral remote sensing published in main geography science literature in recent several years, the principle and correlated problem about monitoring vegetation nitrogen concentration by hyperspectral remote sensing were introduced. From four aspects including vegetation nitrogen spectral index, vegetation nitrogen content inversion based on chlorophyll index, regression model, and eliminating influence factors to inversion of vegetation nitrogen concentration, main technology methods about inversion of vegetation nitrogen concentration by hyperspectral remote sensing were detailedly introduced. Correlative research conclusions were summarized and analyzed, and research development trend was discussed.

摘要

氮是植被生命活动中的必需元素,在蛋白质、核酸、叶绿素和酶等的生物合成中发挥着重要作用,在植被光合作用中起关键作用。利用高光谱遥感反演植被氮含量的技术自上世纪70年代以来一直是研究热点。近年来,随着高光谱遥感技术的发展,在特定光谱区域内进行光谱波段细分的优势为植被氮相关光谱特征研究提供了有力的技术手段。本文结合近年来主要地学文献中发表的关于利用高光谱遥感监测植被氮含量的最新研究成果,介绍了利用高光谱遥感监测植被氮含量的原理及相关问题。从植被氮光谱指数、基于叶绿素指数的植被氮含量反演、回归模型以及消除影响植被氮含量反演的因素等四个方面,详细介绍了利用高光谱遥感反演植被氮含量的主要技术方法。总结分析了相关研究结论,并探讨了研究发展趋势。

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