Leaf Area Index Estimation of Spring Maize with Canopy Hyperspectral Data Based on Linear Regression Algorithm

WANG Hong-bo; ZHAO Zi-qi; LIN Yi; FENG Rui; LI Li-guang; ZHAO Xian-li; WEN Ri-hong; WEI Nan; YAO Xin; ZHANG Yu-shu

doi:10.3964/j.issn.1000-0593(2017)05-1489-08

Journals >Spectroscopy and Spectral Analysis >Volume 37 >Issue 5 >Page 1489 > Article

Spectroscopy and Spectral Analysis
Vol. 37, Issue 5, 1489 (2017)

Leaf Area Index Estimation of Spring Maize with Canopy Hyperspectral Data Based on Linear Regression Algorithm

WANG Hong-bo^1、*, ZHAO Zi-qi¹, LIN Yi², FENG Rui¹, LI Li-guang¹, ZHAO Xian-li¹, WEN Ri-hong¹, WEI Nan³, YAO Xin⁴, and ZHANG Yu-shu¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

⁴[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2017)05-1489-08 Cite this Article

WANG Hong-bo, ZHAO Zi-qi, LIN Yi, FENG Rui, LI Li-guang, ZHAO Xian-li, WEN Ri-hong, WEI Nan, YAO Xin, ZHANG Yu-shu. Leaf Area Index Estimation of Spring Maize with Canopy Hyperspectral Data Based on Linear Regression Algorithm[J]. Spectroscopy and Spectral Analysis, 2017, 37(5): 1489 Copy Citation Text

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References

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[14] Delegldo J, Verrelst J, Meza C M, et al. European Journal of Agronomy, 2013(46): 42.

[20] Wold S, Albano C, Dun M. Pattern Regression Finding and Using Regularities in Multivariate Data. London: Analysis Applied Science Publication, 1983.

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