Inversion estimation of carotenoid content of dicotyledonous plant leaves based on hyperspectral data

doi:10.3969/j.issn.1004-1524.2018.03.06

›› 2018, Vol. 30 ›› Issue (3): 393-398.DOI: 10.3969/j.issn.1004-1524.2018.03.06

• Horticultural Science • Previous Articles Next Articles

Inversion estimation of carotenoid content of dicotyledonous plant leaves based on hyperspectral data

YU Changle^a, XU Tongyu^a,b,*, WANG Yang^a, YU Fenghua^a,b

a. College of Information and Electrical Engineering Shenyang Agricultural University, Shenyang 110161, China;
b. Agricultural Information Engineering Technology Center in Liaoning Province, Shenyang Agricultural University, Shenyang 110161, China

Received:2017-08-07 Online:2018-03-20 Published:2018-03-21

Abstract

Abstract: Carotenoid (Car) is one of the main pigment of photosynthesis for plants. It plays an important role in light absorption and transmission, chlorophyll protection, leaf senescence delaying and so on. Based on LOPEX’93 database, the present study systematically analyzed quantitative relationship within Car content in dicotyledonous plants leaves and normalized difference vegetation index (NDVI), ratio of vegetation index (RVI), and difference vegetation index (DVI). It was shown that NDVI_{(809, 756)} and RVI_{(809, 756)} combining of infrared band at 756 nm and the near infrared band at 809 nm, and DVI_{(809, 750)} combining of infrared band at 750 nm and 809 nm all could achieve better inversion of Car content. Determination coefficient (R²) of the established regression prediction modes were higher than 0.74. By verifying the accuracy of the inversion model estimated based on vegetation index, it was found that the effects of NDVI _{(809, 756)} and RVI _{(809, 756)} were comparable and better than that of the DVI _{(809, 750)}, of which the prediction accuracies were 0.735 and 0.738, respectively, the root mean square errors were 1.426 1 and 1.420 5, respectively, and the average relative errors were 13.66% and 13.60%, respectively. Thus, estimation of Car content in dicotyledonous plants leaves based on the hyperspectral data was feasible.

Key words: carotenoid, hyperspectral, spectral vegetation index, dicotyledon

CLC Number:

S127

YU Changle, XU Tongyu, WANG Yang, YU Fenghua. Inversion estimation of carotenoid content of dicotyledonous plant leaves based on hyperspectral data[J]. , 2018, 30(3): 393-398.

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Inversion estimation of carotenoid content of dicotyledonous plant leaves based on hyperspectral data

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