Comparison of the retrieving precision of potato leaf area index derived from several vegetation indices and spectral parameters of the continuum removal method

Leaf area index (LAI) is one of the important variables for crop growth monitoring and yield estimating. In this article, the potato LAI was retrieved by several vegetation indices (VIs) and spectral parameters of the continuum removal method (SPCRM) to provide accurate estimates. A comparison of th...

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Bibliographic Details
Published in:European journal of remote sensing 2019-01, Vol.52 (1), p.155-168
Main Authors: Luo, Shanjun, He, Yingbin, Wang, Zhuozhuo, Duan, Dingding, Zhang, Jingke, Zhang, Yuantao, Zhu, Yaqiu, Yu, Jinkuan, Zhang, Shengli, Xu, Fei, Sun, Jing, Han, Zhongcai, Jiao, Weihua
Format: Article
Language:English
Subjects:
continuum removal method
Correlation analysis
Crop growth
Cultivars
Field tests
Leaf area index
Leaves
Parameter identification
potato
Potatoes
Reflectance
regression analysis
Retrieving
Spectra
Spectral reflectance
Vegetables
Vegetation
vegetation index
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Summary:Leaf area index (LAI) is one of the important variables for crop growth monitoring and yield estimating. In this article, the potato LAI was retrieved by several vegetation indices (VIs) and spectral parameters of the continuum removal method (SPCRM) to provide accurate estimates. A comparison of the two methods of retrieving precision was completed. The data source for computing VIs and SPCRM was hyperspectral reflectance data for the life cycle, derived from two potato cultivars, Favorite (early maturing variety) and Yanshu 4 (late maturing variety), through field experiments. Sensitive bands were identified to indicate seven VIs by correlation analysis. Additionally, seven SPCRM were computed. Based on these methods, the potato LAI was retrieved and tested. Meanwhile, a comparison of the retrieving precision was implemented. The results showed that compared with the filtered spectral reflectance and VIs, the correlation between the potato LAI and the continuum removal spectral reflectance and its retrieved SPCRM were higher. The determination coefficients (R 2 ) of the retrieving models of four parameters, the total area (S), the left area (Sl), the right area (Sr) and the depth area ratio (W), derived from the continuum removal method were all above 0.801, and their fitting coefficients (r) were all above 0.868, with the mean relative errors (MRE) all
ISSN:2279-7254
2279-7254
DOI:10.1080/22797254.2019.1572460