摘要
高光谱遥感在植被研究中的应用使定量估算植被的生物化学参数和生物物理参数成为可能.分析了樟树幼林生物化学参数与高光谱特征变量之间的相关关系.结果表明:樟树幼林的大部分生物化学参数(叶绿素a含量、叶绿素b含量、叶绿素总含量、类胡萝卜素含量和总磷含量)与高光谱遥感特征参数(蓝边内最大的一阶微分、绿峰反射率、红边位置、蓝边面积、绿峰反射率和红谷反射率构成的比值与归一化植被指数、红边面积和蓝边面积构成的比值和归一化植被指数)之间的相关系数达到了0.01极显著性检验水平;纤维素、总氮含量与高光谱特征参数的相关系数没有达到显著性检验水平.因此,可以利用相关系数达到了0.01极显著性检验水平的高光谱特征参数建立樟树幼林生物化学参数的高光谱遥感估算模型.
The application of hyper-spectral remote sensing to vegetation study makes it possible to estimate quantitatively the biochemical and biophysical parameters of any vegetation. In this study, the correlative relationships between the biochemical parameters of young camphor trees and the characteristic variables of their hyper-spectra were analyzed. The results show that the correlations are notable between the biochemical contents （such as chlorophyll-a content, chlorophyll-b content, chlorophyll-ab content, the total phosphorus content） and the characteristic variables of the hyper-spectra （such as the biggest first order derivative spectra in blue edge, the reflectivity of green peak, the red edge situation, the blue edge area and the vegetation indices）. However, no obvious relationship can be found among the characteristic variables of the hyper-spectra, the cellulose content and the total nitrogen content in leaves. So estimation models by hyper-spectral remote sensing can be built between the biochemical contents and the hyper-spectral characteristic variables.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2007年第4期44-48,共5页
Journal of Central South University of Forestry & Technology
基金
国家自然科学基金(30471391)
湖南省学科带头人培养基金
湖南省教育厅青年基金项目(04B059)
关键词
高光谱
遥感特征参数
相关分析
生物化学参数
樟树幼林
hyper-spectrum
characteristic variables of remote sensing
correlation analysis
biochemical parameters
young camphor trees
