Estimating Crop LAI Using Spectral Feature Extraction and the Hybrid Inversion Method

Estimating Crop LAI Using Spectral Feature Extraction and the Hybrid Inversion Method

The leaf area index (LAI) is an essential indicator used in crop growth monitoring. In the study, a hybrid inversion method, which combined a physical model with a statistical method, was proposed to estimate the crop LAI. The simulated compact high-resolution imaging spectrometer (CHRIS) canopy spe...

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Bibliographic Details
Main Authors: Liang Liang, Di Geng, Juan Yan, Siyi Qiu, Liping Di, Shuguo Wang, Lu Xu, Lijuan Wang, Jianrong Kang, Li Li
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
hyperspectral remote sensing
leaf area index (LAI)
inversion
PROSAIL
partial least squares (PLS)
random forest regression (RFR) scattering by arbitrarily inclined leaves
Online Access:https://www.mdpi.com/2072-4292/12/21/3534

Internet

https://www.mdpi.com/2072-4292/12/21/3534

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