Using remote sensing to estimate water use efficiency in Western China

2007 ◽  
Author(s):  
L. Lu ◽  
X. Li ◽  
C. L. Huang ◽  
F. Veroustraet
Keyword(s):  
Remote Sensing ◽  
Water Use Efficiency ◽  
Water Use ◽  
Western China ◽  
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

scholarly journals Monitoring water use efficiency of irrigated sugarcane production in Mpumalanga, South Africa, using SEBAL

Water SA ◽  
2018 ◽  
Vol 44 (4 October) ◽  
Author(s):  
A Singels ◽  
C Jarmain ◽  
E Bastidas-Obando ◽  
FC Olivier ◽  
AL Paraskevopoulos
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Water Use Efficiency ◽  
Spatial Variation ◽  
Water Use ◽  
Biomass Production ◽  
Canopy Interception ◽  
Surface Renewal ◽  
Evaporation Coefficient ◽  
Use Efficiency

The objective of this study was to assess the accuracy, spatial variation and potential value of remote sensing (RS) estimates of evapotranspiration (ET) and biomass production for irrigated sugarcane in Mpumalanga, South Africa. Weekly ET and biomass production were estimated from RS data from 2011 to 2013 using the Surface Energy Balance Algorithm for Land (SEBAL). Ground estimates of canopy interception of photosynthetically active radiation (FPAR) and aerial biomass were compared to RS estimates. ET was estimated with a surface renewal (SR) system in one field. Evaporation coefficient (Kc) values were calculated from ET and reference grass evaporation. Remote sensing FPAR and biomass estimates compared well with field measurements (R2 = 0.89 and 0.78). SEBAL ET estimates exceeded SR estimates by 5 mm/week, while full canopy Kc values for SEBAL compared better with literature values than with SR Kc values. SEBAL estimates of ET and biomass were regarded as reliable. Considerable spatial variation was observed in seasonal RS ET (1 034 ± 223 mm), biomass (45 ± 17 t/ha) and biomass water use efficiency (WUEBIO, defined as dry biomass produced per unit of ET) (4.1 ± 1.0 kg/m3). About 32% of sugarcane fields had values below economic thresholds, indicating an opportunity to increase productivity. Actual yields correlated well with WUEBIO values, suggesting that this may be used for monitoring crop performance and identifying areas that require remedial treatment.

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