Inversion of maize field leaf area index based on high-resolution remote sensing image

doi:10.3969/j.issn.1004-1524.2018.02.22

›› 2018, Vol. 30 ›› Issue (2): 339-349.DOI: 10.3969/j.issn.1004-1524.2018.02.22

• Biosystems Engineering • Previous Articles Next Articles

Inversion of maize field leaf area index based on high-resolution remote sensing image

HUANG Chudi, LU Lei, LIU Yong^*, LIU Jufeng

College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China

Received:2017-09-05 Online:2018-02-20 Published:2018-02-11

Abstract

Abstract: According to the field data of maize field plots, the range of input parameters of PROSAIL model was determined. Through the PROSAIL model parameters sensitivity analysis, the different input parameters were determined for setting scheme. We simulated different maize canopy reflectance with different leaf area index, leaf inclination and chlorophyll content, and the tasseled-cap triangle distribution model of leaf area index was established to obtain red-near-infrared band reflectance-LAI look-up table of maize field. The LAI of maize planting area was retrieved by high resolution remote sensing image of WV-3 in Zhongwei City, Ningxia. The applicability of the PROSAIL model in LAI inversion of high resolution remote sensing images was analyzed by comparing with the measured data, which provided a reference for high resolution remote sensing image inversion of crop LAI. The results showed that it was necessary to determine the range of the input parameters and the different setting scheme. The LAI of WV-3 image was consistent with the measured data using the look-up table. The mean square error of the look-up table was 0.47, and the mean square error of simulated LAI was 0.24. This study showed that the methods has strong applicability in maize field LAI inversion using WV-3 remote sensing image, and can be used for accurate and effective leaf area index remote sensing inversion in large area.

Key words: PROSAIL model, leaf area index, WV-3, look-up table

CLC Number:

S513
TP79

HUANG Chudi, LU Lei, LIU Yong, LIU Jufeng. Inversion of maize field leaf area index based on high-resolution remote sensing image[J]. , 2018, 30(2): 339-349.

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Inversion of maize field leaf area index based on high-resolution remote sensing image

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