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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מידע ביבליוגרפי

Principais autores:	Kaili Yang, Yan Gong, Shenghui Fang, Bo Duan, Ningge Yuan, Yi Peng, Xianting Wu, Renshan Zhu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2021-07-01
סדרה:	Remote Sensing
נושאים:	leaf area index (LAI) unmanned aerial vehicle (UAV) multispectral image vegetation index (VI) texture local binary pattern (LBP)
גישה מקוונת:	https://www.mdpi.com/2072-4292/13/15/3001
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!