Implementing the dual crop coefficient approach in interactive software. 1. Background and computational strategy

Rosa, Ricardo D.; Paredes, Paula; Rodrigues, G. C.; Alves, Isabel; Fernando, R.M.; Pereira, L. S.; Allen, Richard G.

doi:10.1016/j.agwat.2011.10.013

Cited by 178 publications

(183 citation statements)

References 53 publications

(76 reference statements)

Supporting

Mentioning

178

Contrasting

Unclassified

Order By: Relevance

“…The SIMDualKc is a soil water balance model that applies the dual crop coefficient approach, thus separately computing the daily soil evaporation and crop transpiration [32,39]. This model has been successfully applied to estimate ET and assess Kc of a wide range of field crops [34,35,39], including tree crops [8,40].…”

Section: Simdualkcmentioning

confidence: 99%

“…In SIMDualKc, Kcb is computed with the equation below [12,32] where impacts of plant density and/or leaf area are taken into consideration by a density coefficient:…”

Section: Simdualkcmentioning

confidence: 99%

“…For further estimating Kc, a water balance modeling approach adopting the dual crop coefficient approach [1] is required to estimate soil evaporation and thus to estimate the evaporation coefficient Ke that can be combined with the VI based Kcb, i.e., Kc = Kcb + Ke. The SIMDualKc model [32], which performs a daily water balance of the surface soil layer, provides for a daily Ke. Thus, by applying the dual coefficient approach and performing the soil water balance, the SIMDualKc model provides information on the stress coefficient Ks, on potential and actual Kcb, on Ke and ultimately on potential and actual Kc.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

et al. 2015

Self Cite

View full text Add to dashboard Cite

Abstract:A new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation management. OPEN ACCESSRemote Sens. 2015, 7 2374

show abstract

Section: Simdualkcmentioning

confidence: 99%

“…In SIMDualKc, Kcb is computed with the equation below [12,32] where impacts of plant density and/or leaf area are taken into consideration by a density coefficient:…”

Section: Simdualkcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…The soil water balance was simulated using the SIMDualKc model (ROSA et al, 2012) to calculate ET c by separating it into E s and T c . The input data of the model were: maximum and minimum air temperature (°C), minimum relative air humidity (%) and ET o (mm), estimated by the FAOPenman-Monteith method (ALLEN et al, 1998) on a daily basis.…”

Section: Methodsmentioning

confidence: 99%

“…More recently, the dual K c method was introduced and it provides a better estimation of daily ET c , because it considers soil water evaporation (E s ) and crop transpiration (T c ) separately. The SIMDualKc model, developed by ROSA et al (2012), uses the dual K c approach to provide information that helps irrigation management, especially in situations of water deficit.…”

Section: Introductionmentioning

confidence: 99%

Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil

et al. 2017

View full text Add to dashboard Cite

The objective of this study was to simulate the variation of the available soil water during maize crop growth, in two different sowing times (first and second growing season), using a drip irrigation system. The treatments consisted of different irrigation strategies (full to deficit). The SIMDualKc simulation model was used to determine the daily soil water balance and crop evapotranspiration using the dual crop coefficient approach. Soil, climate, crop and irrigation parameters were used as input data. Two experiments were carried out in a rainout shelter composed of two metallic structures (16x10m) in the city of Santa Maria, Rio Grande do Sul, Brazil, during 2010/11 (second crop, season 1) and 2011/12 (first crop, season 2) growing seasons, under no-tillage system. The simulations showed that all the irrigation management strategies used in season 2 resulted in soil water deficit, while only two strategies showed deficit in season 1. Results showed good agreement between observed and simulated soil water data, with an R2 ranging from 0.86 to 0.99 and the root mean square error ranging from 2.7 to 5.6% of the total available water for seasons 1 and 2, respectively. The observed results of water balance showed that maize grown in season 2 presented higher water consumption compared to season 1, due to the higher atmospheric demand of season 2. The SIMDualKc model allowed the partitioning of crop evapotranspiration into soil evaporation and crop transpiration, demonstrating that the vegetative growth subperiod presented the greatest differences between the two seasons compared to the others growth phases.

show abstract

Evapotranspiration, Transpiration, and Evaporation Processes and Modeling in the Soil–Residue–Canopy System

Irmak,

Kukal

2022

Modeling Processes and Their Interactions in Cropping Systems

View full text Add to dashboard Cite

Implementing the dual crop coefficient approach in interactive software. 1. Background and computational strategy

Cited by 178 publications

References 53 publications

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil

Evapotranspiration, Transpiration, and Evaporation Processes and Modeling in the Soil–Residue–Canopy System

Contact Info

Product

Resources

About