Combining Spectral and Texture Features for Estimating Leaf Area Index and Biomass of Maize Using Sentinel-1/2, and Landsat-8 Data

Combining Spectral and Texture Features for Estimating Leaf Area Index and Biomass of Maize Using Sentinel-1/2, and Landsat-8 Data

Leaf area index (LAI) and biomass are important indicators that reflect the growth status of maize. The optical vegetation indices and the synthetic-aperture radar (SAR) backscattering coefficient are commonly used to estimate the LAI and biomass. However, previous studies have suggested that spectr...

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Bibliographic Details
Main Authors: Peilei Luo, Jingjuan Liao, Guozhuang Shen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Maize LAI and biomass
sentinel-1/2
spectral features
SVR
texture features
Online Access:https://ieeexplore.ieee.org/document/9039572/

Internet

https://ieeexplore.ieee.org/document/9039572/

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