Latent heat flux variability and response to drought stress of black poplar: A multi-platform multi-sensor remote and proximal sensing approach to relieve the data scarcity bottleneck

被引：0

作者：

Tauro, Flavia ^{[1
]}

Maltese, Antonino ^{[2
]}

Giannini, Roberto ^{[3
]}

Harfouche, Antoine ^{[1
]}

机构：

[1] Department for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, Viterbo,01100, Italy

[2] Department of Engineering, University of Palermo, Palermo,90128, Italy

[3] Department of Economics, Engineering, Society and Business Organization, University of Tuscia, Viterbo,01100, Italy

来源：

Remote Sensing of Environment | 2022年 / 268卷

关键词：

D O I：

112771

中图分类号：

学科分类号：

摘要：

Drought - Evapotranspiration - Forestry - Heat flux - Crops - Soil moisture - Antennas - Biomass - Latent heat - Information management - Unmanned aerial vehicles (UAV) - Irrigation

引用

共 2 条

[1] Latent heat flux variability and response to drought stress of black poplar: A multi-platform multi-sensor remote and proximal sensing approach to relieve the data scarcity bottleneck
Tauro, Flavia
Maltese, Antonino
Giannini, Roberto
Harfouche, Antoine
REMOTE SENSING OF ENVIRONMENT, 2022, 268
[2] Evaluating drought stress response of poplar seedlings using a proximal sensing platform via multi-parameter phenotyping and two-stage machine learning
Fan, Xuexing
Zhang, Huichun
Zhou, Lei
Bian, Liming
Jin, Xiuliang
Tang, Luozhong
Ge, Yufeng
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 225

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