Remote sensing based water-use efficiency evaluation in sub-surface irrigated wine grape vines

2016 ◽  
Author(s):  
Carlos Espinoza Zúñiga ◽  
Lav R. Khot ◽  
Pete Jacoby ◽  
Sindhuja Sankaran
Keyword(s):  
Remote Sensing ◽  
Water Use Efficiency ◽  
Water Use ◽  
Efficiency Evaluation ◽  
Wine Grape ◽  
Use Efficiency

scholarly journals Remote Sensing of Ecosystem Water Use Efficiency: A Review of Direct and Indirect Estimation Methods

2021 ◽  
Vol 13 (12) ◽  
pp. 2393
Author(s):  
Wanyuan Cai ◽  
Sana Ullah ◽  
Lei Yan ◽  
Yi Lin
Keyword(s):  
Remote Sensing ◽  
Water Use Efficiency ◽  
Analytical Model ◽  
Water Use ◽  
Estimation Methods ◽  
Retrieval Algorithm ◽  
Canopy Conductance ◽  
Coupling Mechanism ◽  
Indirect Methods ◽  
Use Efficiency

Water use efficiency (WUE) is a key index for understanding the ecosystem of carbon–water coupling. The undistinguishable carbon–water coupling mechanism and uncertainties of indirect methods by remote sensing products and process models render challenges for WUE remote sensing. In this paper, current progress in direct and indirect methods of WUE estimation by remote sensing is reviewed. Indirect methods based on gross primary production (GPP)/evapotranspiration (ET) from ground observation, processed models and remote sensing are the main ways to estimate WUE in which carbon and water cycles are independent processes. Various empirical models based on meteorological variables and remote sensed vegetation indices to estimate WUE proved the ability of remotely sensed data for WUE estimating. The analytical model provides a mechanistic opportunity for WUE estimation on an ecosystem scale, while the hypothesis has yet to be validated and applied for the shorter time scales. An optimized response of canopy conductance to atmospheric vapor pressure deficit (VPD) in an analytical model inverted from the conductance model has been also challenged. Partitioning transpiration (T) and evaporation (E) is a more complex phenomenon than that stated in the analytic model and needs a more precise remote sensing retrieval algorithm as well as ground validation, which is an opportunity for remote sensing to extrapolate WUE estimation from sites to a regional scale. Although studies on controlling the mechanism of environmental factors have provided an opportunity to improve WUE remote sensing, the mismatch in the spatial and temporal resolution of meteorological products and remote sensing data, as well as the uncertainty of meteorological reanalysis data, add further challenges. Therefore, improving the remote sensing-based methods of GPP and ET, developing high-quality meteorological forcing datasets and building mechanistic remote sensing models directly acting on carbon–water cycle coupling are possible ways to improve WUE remote sensing. Improvement in direct WUE remote sensing methods or remote sensing-driven ecosystem analysis methods can promote a better understanding of the global ecosystem carbon–water coupling mechanisms and vegetation functions–climate feedbacks to serve for the future global carbon neutrality.

Estimation of Spring Wheat Water Use Efficiency by Remote Sensing in the Yingke Oasis of Heihe Drainage Area

2010 ◽  
Vol 8 (1) ◽  
pp. 6-10 ◽  
Author(s):  
G. J. Yang ◽  
Z. R. Xing ◽  
Y. G. Feng ◽  
W. J. Huang
Keyword(s):  
Remote Sensing ◽  
Water Use Efficiency ◽  
Water Use ◽  
Spring Wheat ◽  
Drainage Area ◽  
Use Efficiency

scholarly journals Water use efficiency and light use efficiency in garlic using a remote sensing-based approach

2019 ◽  
Vol 219 ◽  
pp. 40-48 ◽  
Author(s):  
Jaime Campoy ◽  
Isidro Campos ◽  
Carmen Plaza ◽  
María Calera ◽  
Nuria Jiménez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Use Efficiency ◽  
Water Use ◽  
Light Use Efficiency ◽  
Use Efficiency
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