Rice leaf area index inversion method based on PROSAIL model

The invention discloses a rice leaf area index inversion method based on a PROSAIL model. The method comprises the following steps: acquiring the real multispectral canopy reflectivity of rice in a research area; constructing a rice actually measured leaf area index data set; determining a sensitive...

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Bibliographic Details
Main Authors WANG CONG, XU BAODONG, HU QIONG, WU TONGZHOU
Format Patent
LanguageChinese
English
Published 06.02.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention discloses a rice leaf area index inversion method based on a PROSAIL model. The method comprises the following steps: acquiring the real multispectral canopy reflectivity of rice in a research area; constructing a rice actually measured leaf area index data set; determining a sensitive parameter and an insensitive parameter of the PROSAIL model; traversing different numerical value combinations of each sensitive parameter and each insensitive parameter by using a PROSAIL model, and constructing a lookup table based on a Gaussian noise ratio; different cost functions and mean ratios are selected for testing, and the optimal Gaussian noise ratio, the optimal cost function and the optimal mean ratio are obtained; and performing inversion of the inversion result of the rice leaf area index. According to the method, the uncertainty of a rice leaf area index inversion result is reduced, and an effective method support is provided for obtaining a rice leaf area index data set in a large scale range. 本发
Bibliography:Application Number: CN202311848534