Quantitative Effects of the Spectral Calibration Accuracy of the Imaging Spectrometer on the Vegetation Red Edge

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Zhang, Y.Q.^1,2 ; Chen, Z.C.^1 ; Zhang, W.J.^1 ; Zhang, H.^1

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, 100094, Beijing, China^1

University of Chinese Academy of Sciences, 100049, Beijing, China^2

关键词: Hyperspectral Data;    Imaging spectrometers;    Linear relationships;    Quantitative effects;    Sensitive indicator;    Spectral calibration;    Vegetation parameters;    Vegetation reflectance spectra;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012227/pdf
DOI  :  10.1088/1755-1315/17/1/012227

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The red edge position (REP) has been widely used to estimate vegetation parameters and also as a sensitive indicator of vegetation stress. Detailed characterizations of REP can be easily achieved from hyperspectral data obtained from imaging spectrometers. After launch of imaging spectrometers, shift in the center wavelength of the spectral channel may occur due to the vibrations and aging of components. In this paper, we firstly proposed a method to quantify the effects of the spectral shift of imaging spectrometers on the REP. The fundamental basis of the method was the simulation of the vegetation reflectance spectra after spectral shift (SSR). The quantitative relationship between the spectral shift value and the REP derived from the SSR was analysed. The result showed a significant linear relationship between spectral shift value and REP error (R2=0.9932). For a 10nm resolution spectrometer, channel center wavelength errors of 10%, 30% and 50% would introduce 0.8nm, 2.5nm and 5.3nm error in REP, respectively. The study indicated that spectral calibration error was an important factor to generate REP shift.