Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain

Partitioning of evapotranspiration (ET) into soil evaporation (E) and plant transpiration (T) poses a significant challenge. This study proposed a novel approach that combines eddy covariance, micro-lysimeter, and high-resolution unmanned aerial vehicle (UAV) images within the flux footprint to opti...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jiang Bian, Xiaolong Hu, Liangsheng Shi, Leilei Min, Yucui Zhang, Yanjun Shen, Fenghua Zhao, Yuanyuan Zha, Xie Lian, Jiesheng Huang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2024-04-01
Sarja:	Agricultural Water Management
Aiheet:	High-resolution images Multi-objective optimization Shuttleworth-Wallace model Flux footprint
Linkit:	http://www.sciencedirect.com/science/article/pii/S0378377424000702
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