| Estimating chlorophyll content of proso millet canopy by hyperspectral reflectance |
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| DOI：10.7606/j.issn.1000-7601.2018.01.25 |
| Key Words: proso millet chlorophyll content hyperspectral reflectance vegetation index |
| Author Name | Affiliation | | HAN Hao-kun | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | MIAO Jia-yuan | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | ZHANG Yu-yu | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | ZHANG Da-zhong | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | ZONG Guo-hao | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | GONG Xiang-wei | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | LI Jing | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | FENG Bai-li | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| The objective of this study was to establish the reliable estimation model of chlorophyll content based on proso millet canopy hyperspectral reflectance, by two-year field trials of different varieties. The results showed that the chlorophyll content of proso millet presented a parabola pattern during the whole growth period, with the maximum value being at the heading stage to the flowering period. This trend is consistent across different growth stages of eight varieties. The proso millet canopy spectral reflectance of elongation stage, flowering period and early filling stage and chlorophyll content were positively correlated, it show negative correlation in maturation stage at the visible light band. A marked correlation relationship was revealed between the proso millet canopy chlorophyll content and vegetation index with combination of near infrared wavelengths (760～900 nm), the red light wavelengths (630～690 nm) and 550 nm green band, which is the most ideal forecast canopy chlorophyll content area. Monitoring models based on RVI, PSNDb and GNDVI750 produced better estimation for chlorophyll content, and the determination coefficients (R2) were 0.791, 0.779 and 0.748. Meanwhile, comparing the predicted value with measured value to verify reliability and applicability of monitoring model, result showed that the relative errors ( RE) between measured value and predicted value were 9.58%, 8.93%, 11.80%, and the root mean square errors were 0.045, 0.140, 0.196, respectively. Therefore, it was suggested the vegetation indices of RVI, PSNDb and GNDVI750 were the most suitable model for estimating proso millet chlorophyll content. |
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