Combining Spectral and Texture Features of UAV Images for the Remote Estimation of Rice LAI throughout the Entire Growing Season

Combining Spectral and Texture Features of UAV Images for the Remote Estimation of Rice LAI throughout the Entire Growing Season

Leaf area index (LAI) estimation is very important, and not only for canopy structure analysis and yield prediction. The unmanned aerial vehicle (UAV) serves as a promising solution for LAI estimation due to its great applicability and flexibility. At present, vegetation index (VI) is still the most...

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Bibliographic Details
Main Authors: Kaili Yang, Yan Gong, Shenghui Fang, Bo Duan, Ningge Yuan, Yi Peng, Xianting Wu, Renshan Zhu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
leaf area index (LAI)
unmanned aerial vehicle (UAV)
multispectral image
vegetation index (VI)
texture
local binary pattern (LBP)
Online Access:https://www.mdpi.com/2072-4292/13/15/3001

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