Abstract: In recent years, as spectral resolution is being accurate to nanometer level, hyperspectral remote sensing has a unique advantage in the detection of plant life information and the analysis of vegetation growth status. Grasping bidirectional reflectance characteristics of the canopy reflectance spectrum is significant to improve the accuracy of remote sensing applications. Many scholars at home and abroad measured and analyzed the vegetation reflectance rate with the change of view angle, variation of solar zenith angle and season, but they mainly focused on the meadows and forests, and the systematical sensitivity analysis on crop reflectance spectrum was less involved. This paper got a lot of multi-angle hyperspectral remote sensing data based on surface automatic remote sensing platforms. Different from the traditional field spectrometer(ASD Fieldspec), Jaz-Combo 2 spectrometer(Ocean Optics, America) uses the field automatic observation system and has some advantages of low cost, continuous observation all day and real-time automatic remote sensing. This paper continuously observed multi-angel canopy reflectance spectra for winter wheat, and analyzed how various factors influenced the canopy reflectance spectra and 2 commonly used vegetation indices NDVI(normalized difference vegetation index) and EVI(enhanced vegetation index). The results showed that the fluctuation form for the measured canopy reflectance spectra from the self-designed ground automatic remote sensing platforms was found to be consistent with that simulated by the PROSAIL(PROPECT+SAIL) model and also similar to the results studied by Hiker T and Coops N C, et al. The above results demonstrate the measured canopy reflectance spectral data are effective and available, and the calculation method of data is also proved to be reasonable and feasible. With the solar radiation increasing, the canopy reflectance spectra showed an increasing trend and were more obvious in response to weather conditions on sunny days than cloudy days. “Hot spot effect” and “specular reflection” can be used to explain the phenomenon that with the changes of view angle, the canopy reflectance spectra show different distributions. When the direction of observation and the incidence direction of the sun were on the same side(backscatter), the field of view(direct radiating portion of solar rays) coinciding with the incidence direction of the sun had the strongest point of reflection; when the direction of observation and the incidence direction of the sun were on the opposite side(forward scatter), the field of view(direct radiating portion of solar rays) coinciding with the incidence direction of the sun had the weakest point of reflection. Under the above described conditions, vegetation index NDVI and EVI also showed similar variation with canopy reflectance spectra. Influenced by the red band and near infrared band, the change trend of NDVI and EVI was very consistent. The multi-angle relevant analysis of vegetation index NDVI and EVI showed they had a highly significant linear correlation(R²>0.72, P<0.01). So there were no obvious advantages or disadvantages between NDVI and EVI for uniform growth status and full coverage of vegetation, and they would provide the theoretical reference for the choice and design of remote sensing''s view angle and the application of vegetation indices. In this paper, the observations only occurred in the field under uniform growth conditions which was fully covered by the late growth winter wheat, so that the data analysis was not sufficient. In subsequent studies, the data need to be further analyzed with different methods, and crop varieties, crop species and growth period are also needed to verify the findings.