| 光谱学与光谱分析 |
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| A Field-Based Pushbroom Imaging Spectrometer for Estimating Chlorophyll Content of Maize |
| ZHANG Dong-yan1, 2, LIU Rong-yuan2, 3, SONG Xiao-yu2, XU Xin-gang2, HUANG Wen-jiang2, ZHU Da-zhou2, WANG Ji-hua1, 2* |
1. Institute of Remote Sensing & Information Technique, Zhejiang University, Hangzhou 310029, China
2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
3. School of Geography, Beijing Normal University, Beijing 100875, China |
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Abstract As an image-spectrum merging technology, the field-hperspectral imaging technology is a need for dynamic monitoring and real-time management of crop growth information acquiring at field scale in modern digital agriculture, and it is also an effective approach to promoting the development of quantitative remote sensing on agriculture. In the present study, the hyperspectral images of maize in potted trial and in field were acquired by a self-development push broom imaging spectrometer (PIS). The reflectance spectra of maize leaves in different layers were accurately extracted and then used to calculate the spectral vegetation indices, such as TCARI, OSAVI, CARI and NDVI. The spectral vegetation indices were used to construct the prediction model for measuring chlorophyll content.The results showed that the prediction model constructed by spectral index of MCARI/OSAVI had high accuracy. The coefficient of determination for the validation samples was R2=0.887, and RMSE was 1.8. The study indicated that PIS had extensive application potentiality on detecting spectral information of crop components in the micro-scale.
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Received: 2010-05-10
Accepted: 2010-08-20
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Corresponding Authors:
WANG Ji-hua
E-mail: wangjh@nercita.org.cn
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