title: [Progress in inversion of vegetation nitrogen concentration by hyperspectral remote sensing].
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.
authors.affiliation: 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. wlw9585@163.com
authors.forename: Li-Wen
authors.initials: LW
authors.lastname: Wang
authors.affiliation: 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.
authors.forename: Ya-Xing
authors.initials: YX
authors.lastname: Wei
mesh_terms: D002734:Chlorophyll; D008962:Models, Theoretical; D009584:Nitrogen / Q000032:analysis*; D010788:Photosynthesis; D018515:Plant Leaves; D058998:Remote Sensing Technology; D013057:Spectrum Analysis
chemical_list: D002734:Chlorophyll; D009584:Nitrogen