Novel 3D photosynthetic traits derived from the fusion of UAV LiDAR point cloud and multispectral imagery in wheat-Reference-Cited by-同舟云学术

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Novel 3D photosynthetic traits derived from the fusion of UAV LiDAR point cloud and multispectral imagery in wheat

Published:2024-09 Issue: Volume:311 Page:114244
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Gu Yangyang,Wang Yongqing,Wu Yapeng,Warner Timothy A.,Guo Tai,Ai Hongxu,Zheng Hengbiao,Cheng Tao,Zhu Yan,Cao Weixing,Yao Xia

Publisher

Elsevier BV

Reference88 articles.

1. Indirect methods of estimating crop structure from optical measurements;Andrieu,1993

2. Improving crop yield and resilience through optimization of photosynthesis: panacea or pipe dream?;Araus;J. Exp. Bot.,2021

3. Spectral and chemical analysis of tropical forests: scaling from leaf to canopy levels;Asner;Remote Sens. Environ.,2008

4. Radiation interception and use by maize/peanut intercrop canopy;Awal;Agric. For. Meteorol.,2006

5. Quantification of plant stress using remote sensing observations and crop models: the case of nitrogen management;Baret;J. Exp. Bot.,2007

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