UAV-Based Biomass Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features

UAV-Based Biomass Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features

Accurate estimation of above ground biomass (AGB) is very important for crop growth monitoring. The objective of this study was to estimate rice biomass by utilizing structural and meteorological features with widely used spectral features. Structural features were derived from the triangulated irre...

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Bibliographic Details
Main Authors:	Qi Jiang, Shenghui Fang, Yi Peng, Yan Gong, Renshan Zhu, Xianting Wu, Yi Ma, Bo Duan, Jian Liu
Format:	Article
Language:	English
Published:	MDPI AG 2019-04-01
Series:	Remote Sensing
Subjects:	unmanned aerial vehicle (UAV) above ground biomass (AGB) triangulated irregular network (TIN) growing degree days (GDD)
Online Access:	https://www.mdpi.com/2072-4292/11/7/890

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