Integration of satellite-based energy balance with simulation models applied to irrigation management at an irrigation scheme of southern Spain

2007 ◽  
Author(s):  
Cristina Santos ◽  
Ignacio J. Lorite ◽  
Masahiro Tasumi ◽  
Richard G. Allen ◽  
Pedro Gavilán ◽  
...  
Keyword(s):  
Energy Balance ◽  
Irrigation Management ◽  
Simulation Models ◽  
Southern Spain ◽  
Irrigation Scheme

scholarly journals A Modified Surface Energy Balance to Estimate Crop Transpiration and Soil Evaporation in Micro-Irrigated Orchards

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1747 ◽  
Author(s):  
Camilo Souto ◽  
Octavio Lagos ◽  
Eduardo Holzapfel ◽  
Mahesh Lal Maskey ◽  
Lynn Wunderlich ◽  
...  
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Irrigation Management ◽  
Soil Evaporation ◽  
Heat Fluxes ◽  
Energy Balance Model ◽  
Balance Model ◽  
Coefficient Of Determination ◽  
Surface Renewal

A surface energy balance model was conceived to estimate crop transpiration and soil evaporation in orchards and vineyards where the floor is partially wetted by micro-irrigation systems. The proposed surface energy balance model for partial wetting (SEB-PW) builds upon previous multiple-layer modelling approaches to estimate the latent, sensible, and soil heat fluxes, while partitioning the total evapotranspiration ( E T ) into dry and wet soil evaporation ( λ E s o i l ) and crop transpiration ( T ). The model estimates the energy balance and flux resistances for the evaporation from dry and wet soil areas below the canopy, evaporation from dry and wet soil areas between plant rows, crop transpiration, and total crop E T . This article describes the model development, sensitivity analysis and a preliminary model evaluation. The evaluation shows that simulated hourly E T values have a good correlation with field measurements conducted with the surface renewal method and micro-lysimeter measurements in a micro-irrigated winegrape vineyard of Northern California for a range of fractional crop canopy cover conditions. Evaluation showed that hourly L E estimates had root mean square error ( R M S E ) of 58.6 W m−2, mean absolute error ( M A E ) of 35.6 W m−2, Nash-Sutcliffe coefficient ( C N S ) of 0.85, and index of agreement ( d a ) of 0.94. Daily soil evaporation ( E s ) estimations had R M S E of 0.30 mm d−1, M A E of 0.24 mm d−1, C N S of 0.87, and d a of 0.94. E s estimation had a coefficient of determination ( r 2 ) of 0.95, when compared with the micro-lysimeter measurements, which showed that E s can reach values from 28% to 46% of the total E T after an irrigation event. The proposed SEB-PW model can be used to estimate the effect and significance of soil evaporation from wet and dry soil areas on the total E T , and to inform water balance studies for optimizing irrigation management. Further evaluation is needed to test the model in other partially wetted orchards and to test the model performance during all growing seasons and for different environmental conditions.

scholarly journals Evaluation of a Hybrid Reflectance-Based Crop Coefficient and Energy Balance Evapotranspiration Model for Irrigation Management

2018 ◽  
Vol 61 (2) ◽  
pp. 533-548 ◽  
Author(s):  
J. Burdette Barker ◽  
Christopher M. U. Neale ◽  
Derek M. Heeren ◽  
Andrew E. Suyker
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Water Balance ◽  
Real Time ◽  
Eddy Covariance ◽  
Irrigation Management ◽  
Crop Coefficient ◽  
Irrigation Scheduling ◽  
Balance Model ◽  
Crop Coefficients

Abstract. Accurate generation of spatial soil water maps is useful for many types of irrigation management. A hybrid remote sensing evapotranspiration (ET) model combining reflectance-based basal crop coefficients (Kcbrf) and a two-source energy balance (TSEB) model was modified and validated for use in real-time irrigation management. We modeled spatial ET for maize and soybean fields in eastern Nebraska for the 2011-2013 growing seasons. We used Landsat 5, 7, and 8 imagery as remote sensing inputs. In the TSEB, we used the Priestly-Taylor (PT) approximation for canopy latent heat flux, as in the original model formulations. We also used the Penman-Monteith (PM) approximation for comparison. We compared energy balance fluxes and computed ET with measurements from three eddy covariance systems within the study area. Net radiation was underestimated by the model when data from a local weather station were used as input, with mean bias error (MBE) of -33.8 to -40.9 W m-2. The measured incident solar radiation appeared to be biased low. The net radiation model performed more satisfactorily when data from the eddy covariance flux towers were input into the model, with MBE of 5.3 to 11.2 W m-2. We removed bias in the daily energy balance ET using a dimensionless multiplier that ranged from 0.89 to 0.99. The bias-corrected TSEB ET, using weather data from a local weather station and with local ground data in thermal infrared imagery corrections, had MBE = 0.09 mm d-1 (RMSE = 1.49 mm d-1) for PM and MBE = 0.04 mm d-1 (RMSE = 1.18 mm d-1) for PT. The hybrid model used statistical interpolation to combine the two ET estimates. We computed weighting factors for statistical interpolation to be 0.37 to 0.50 for the PM method and 0.56 to 0.64 for the PT method. Provisions were added to the model, including a real-time crop coefficient methodology, which allowed seasonal crop coefficients to be computed with relatively few remote sensing images. This methodology performed well when compared to basal crop coefficients computed using a full season of input imagery. Water balance ET compared favorably with the eddy covariance data after incorporating the TSEB ET. For a validation dataset, the magnitude of MBE decreased from -0.86 mm d-1 (RMSE = 1.37 mm d-1) for the Kcbrf alone to -0.45 mm d-1 (RMSE = 0.98 mm d-1) and -0.39 mm d-1 (RMSE = 0.95 mm d-1) with incorporation of the TSEB ET using the PM and PT methods, respectively. However, the magnitudes of MBE and RMSE were increased for a running average of daily computations in the full May-October periods. The hybrid model did not necessarily result in improved model performance. However, the water balance model is adaptable for real-time irrigation scheduling and may be combined with forecasted reference ET, although the low temporal frequency of satellite imagery is expected to be a challenge in real-time irrigation management. Keywords: Center-pivot irrigation, ET estimation methods, Evapotranspiration, Irrigation scheduling, Irrigation water balance, Model validation, Variable-rate irrigation.

scholarly journals Determination of Actual Evapotranspiration and Crop Coefficients of California Date Palms Using the Residual of Energy Balance Approach

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2253 ◽  
Author(s):  
Aliasghar Montazar ◽  
Robert Krueger ◽  
Dennis Corwin ◽  
Alireza Pourreza ◽  
Cayle Little ◽  
...  
Keyword(s):  
Energy Balance ◽  
Water Resources ◽  
Date Palm ◽  
Irrigation Management ◽  
Canopy Cover ◽  
Tree Height ◽  
Actual Evapotranspiration ◽  
Date Palms ◽  
The Mean ◽  
Crop Coefficients

As water scarcity becomes of greater concern in arid and semi-arid regions due to altered weather patterns, greater and more accurate knowledge regarding evapotranspiration of crops produced in these areas is of increased significance to better manage limited water resources. This study aimed at determining the actual evapotranspiration (ETa) and crop coefficients (Ka) in California date palms. The residual of energy balance method using a combination of surface renewal and eddy covariance techniques was applied to measure ETa in six commercial mature date palm orchards (8–22 years old) over one year. The experimental orchards represent various soil types and conditions, irrigation management practices, canopy characteristics, and the most common date cultivars in the region. The results demonstrated considerable variability in date palm consumptive water use, both spatially and temporally. The cumulative ETa (CETa) across the six sites ranged from 1299 to 1501 mm with a mean daily ETa of 7.2 mm day−1 in June–July and 1.0 mm day−1 in December at the site with the highest crop water consumption. The mean monthly Ka values varied between 0.63 (December) and 0.90 (June) in the non-salt-affected, sandy loam soil date palms with an average density of 120 plants ha−1 and an average canopy cover and tree height of more than 80% and 11.0 m, respectively. However, the values ranged from 0.62 to 0.75 in a silty clay loam saline-sodic date palm orchard with 55% canopy cover, density of 148 plants ha−1, and 7.3 m tree height. Inverse relationships were derived between the CETa and soil salinity (ECe) in the crop root zone; and between the mean annual Ka and ECe. This information addresses the immediate needs of date growers for irrigation management in the region and enables them to more efficiently utilize water and to achieve full economic gains in a sustainable manner, especially as water resources become less available or more expensive.

DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand

2008 ◽  
Vol 48 (5) ◽  
pp. 621 ◽  
Author(s):  
I. R. Johnson ◽  
D. F. Chapman ◽  
V. O. Snow ◽  
R. J. Eckard ◽  
A. J. Parsons ◽  
...  
Keyword(s):  
New Zealand ◽  
Nutrient Dynamics ◽  
Irrigation Management ◽  
Management Strategies ◽  
Simulation Models ◽  
Nutrient Status ◽  
Pasture Management ◽  
Management Options ◽  
Recent Developments ◽  
Fertiliser Application

DairyMod and EcoMod, which are biophysical pasture-simulation models for Australian and New Zealand grazing systems, are described. Each model has a common underlying biophysical structure, with the main differences being in their available management options. The third model in this group is the SGS Pasture Model, which has been previously described, and these models are referred to collectively as ‘the model’. The model includes modules for pasture growth and utilisation by grazing animals, water and nutrient dynamics, animal physiology and production and a range of options for pasture management, irrigation and fertiliser application. Up to 100 independent paddocks can be defined to represent spatial variation within a notional farm. Paddocks can have different soil types, nutrient status, pasture species, fertiliser and irrigation management, but are subject to the same weather. Management options include commonly used rotational grazing management strategies and continuous grazing with fixed or variable stock numbers. A cutting regime simulates calculation of seasonal pasture growth rates. The focus of the present paper is on recent developments to the management routines and nutrient dynamics, including organic matter, inorganic nutrients, leaching and gaseous nitrogen losses, and greenhouse gases. Some model applications are presented and the role of the model in research projects is discussed.

scholarly journals EVAPOTRANSPIRAÇÃO E COEFICIENTE DE CULTURA DO CAFEEIRO IRRIGADO A PARTIR DE IMAGENS DE SENSORES ORBITAIS

Irriga ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 31-37
Author(s):  
THALLES LOIOLA DIAS ◽  
Alex PORTO RODRIGUES ◽  
MILLER RAIK ARCANJO BATISTA ◽  
Marcelo Rossi Vicente ◽  
RONALDO MEDEIROS DOS SANTOS
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Irrigation Management ◽  
Crop Coefficient ◽  
Minas Gerais ◽  
Crop Evapotranspiration ◽  
Landsat 7 ◽  
Sebal Model ◽  
E Mail

EVAPOTRANSPIRAÇÃO E COEFICIENTE DE CULTURA DO CAFEEIRO IRRIGADO A PARTIR DE IMAGENS DE SENSORES ORBITAIS     THALLES LOIOLA DIAS1; ALEX PORTO RODRIGUES2; MILLER RAIK ARCANJO BATISTA3; Marcelo Rossi Vicente4 e Ronaldo Medeiros dos Santos5   1 Instituto Federal do Norte de Minas Gerais, Campus Salinas, Fazenda Varginha Km 02 Rod. Salinas/Taiobeiras - Salinas/MG -CEP:39560-000, Salinas, MG, Brasil. E-mail: [email protected]. 2 Instituto Federal do Norte de Minas Gerais, Campus Salinas, Fazenda Varginha Km 02 Rod. Salinas/Taiobeiras - Salinas/MG -CEP:39560-000, Salinas, MG, Brasil. E-mail: [email protected]. 3 Instituto Federal do Norte de Minas Gerais, Campus Salinas, Fazenda Varginha Km 02 Rod. Salinas/Taiobeiras - Salinas/MG -CEP:39560-000, Salinas, MG, Brasil. E-mail: [email protected]. 4 Instituto Federal do Norte de Minas Gerais, Campus Salinas, Fazenda Varginha Km 02 Rod. Salinas/Taiobeiras - Salinas/MG -CEP:39560-000, Salinas, MG, Brasil. E-mail: [email protected]. 5 Instituto Federal do Norte de Minas Gerais, Campus Salinas, Fazenda Varginha Km 02 Rod. Salinas/Taiobeiras - Salinas/MG - CEP:39560-000, Salinas, MG, Brasil. E-mail:[email protected].     1 RESUMO   O uso de sensoriamento remoto na agricultura é uma realidade. Dentre os diversos usos, destaca-se a determinação da evapotranspiração dos cultivos para o auxílio do processo de gerenciamento da irrigação. O presente trabalho objetivou determinar a evapotranspiração e o coeficiente da cultura do cafeeiro através do algoritmo SEBAL (Surface Energy Balance Algorithm for Land) na região Oeste da Bahia. Para a realização do estudo foram utilizadas imagens do satélite LANDSAT 7. A evapotranspiração de referência foi estimada pelo método Penman-Monteith FAO e, posteriormente, calculou-se o coeficiente da cultura (Kc) com base na evapotranspiração obtida via SEBAL. Os índices estatísticos para avaliar a eficácia do modelo SEBAL foram: o desvio da raiz quadrada média (RMSE); o erro médio absoluto (MAE); o coeficiente de determinação (R2); e o erro relativo (RE). O modelo SEBAL mostrou-se eficiente na determinação da evapotranspiração da cultura do cafeeiro e no coeficiente de cultura.   Palavras-chave: índice de vegetação; sebal; manejo de irrigação.     DIAS, T.L.; RODRIGUES, A.P.; BATISTA, M.R.A.; VICENTE, M.R.; SANTOS, R. M. EVAPOTRANSPIRATION AND CROP COEFFICIENT OF COFFEE PLANTS FROM ORBITAL SENSORS IMAGES     2 ABSTRACT   The use of remote sensing in agriculture is a reality. Among the various uses, the determination of crop evapotranspiration to aid the irrigation management process is detached. The present work aimed to determine the evapotranspiration and the crop coefficient of coffee through the Surface Energy Balance Algorithm for Land (SEBAL) in western Bahia. LANDSAT 7 satellite images were used to perform the study. The reference evapotranspiration was estimated by the FAO Penman-Monteith method and subsequently the crop coefficient (Kc) was calculated based on the evapotranspiration obtained by SEBAL. The statistical indexes for evaluating the effectiveness of the SEBAL model were the root mean square error (RMSE), the mean absolute error (MAE), the coefficient of determination (R²) and the relative error (RE). The SEBAL model proved to be efficient in determining coffee crop evapotranspiration and crop coefficient.   Keywords: vegetation index; sebal; water management.

scholarly journals Region-Wide Analysis of Genetic Diversity in Verticillium dahliae Populations Infecting Olive in Southern Spain and Agricultural Factors Influencing the Distribution and Prevalence of Vegetative Compatibility Groups and Pathotypes

2011 ◽  
Vol 101 (3) ◽  
pp. 304-315 ◽  
Author(s):  
Rafael M. Jiménez-Díaz ◽  
Concepción Olivares-García ◽  
Blanca B. Landa ◽  
María del Mar Jiménez-Gasco ◽  
Juan A. Navas-Cortés
Keyword(s):  
Genetic Diversity ◽  
Verticillium Dahliae ◽  
Irrigation Management ◽  
Water Source ◽  
Vegetative Compatibility ◽  
Southern Spain ◽  
Vegetative Compatibility Groups ◽  
Discriminant Model ◽  
Olive Trees ◽  
Log Linear

Severity of Verticillium wilt in olive trees in Andalusia, southern Spain is associated with the spread of a highly virulent, defoliating (D) Verticillium dahliae pathotype of vegetative compatibility group 1A (VCG1A) but the extent of this spread and the diversity of the pathogen population have never been documented. VCG typing of 637 V. dahliae isolates from 433 trees in 65 orchards from five olive-growing provinces in Andalusia indicated that 78.1% were of VCG1A, 19.8% of VCG2A, 0.6% of VCG2B, 1.4% of VCG4B, and one isolate was heterokaryon self-incompatible. A single VCG prevailed among isolates within most orchards but two and three VCGs were identified in 12 and 3 orchards, respectively, with VCG1A+VCG2A occurring in 10 orchards. VCG1A was the predominant VCG in the three most important olive-growing provinces, and was almost as prevalent as VCG2A in another one. Molecular pathotyping of the 637 isolates using specific polymerase chain reaction assays indicated that VCG1A isolates were of the D pathotype whereas isolates of VCG2A, -2B, and -4B were of the less virulent nondefoliating (ND) pathotype. The pathotype of isolates correlated with the disease syndrome affecting sampled trees. Only three (seq1, seq2, and seq4) of the seven known sequences of the V. dahliae-specific 539- or 523-bp amplicon were identified among the 637 isolates. Distribution and prevalence of VCGs and seq sequences among orchards indicated that genetic diversity within olive V. dahliae in Andalusia is higher in provinces where VCG1A is not prevalent. Log-linear analysis revealed that irrigation management, source of irrigation water, source of planting stock, and cropping history of soil were significantly associated with the prevalence of VCG1A compared with that of VCG2A. Multivariate analyses using a selected set of agricultural factors as variables allowed development of a discriminant model for predicting the occurrence of D and ND pathotypes in the area of the study. Blind tests using this model correctly indentified the V. dahliae pathotype occurring in an orchard. The widespread occurrence and high prevalence of VCG1A/D pathotype in Andalusia have strong implications for the management of the disease.

scholarly journals SPHY v2.0: Spatial Processes in HYdrology

2015 ◽  
Vol 8 (2) ◽  
pp. 1687-1748 ◽  
Author(s):  
W. Terink ◽  
A. F. Lutz ◽  
G. W. H. Simons ◽  
W. W. Immerzeel ◽  
P. Droogers
Keyword(s):  
Irrigation Management ◽  
Dynamic Modelling ◽  
Remote Sensing Data ◽  
Simulation Models ◽  
Strategic Decision ◽  
Hydrological Processes ◽  
Spatial Processes ◽  
Leaky Bucket ◽  
Climate Conditions ◽  
Modelling Framework

Abstract. This paper introduces and presents the Spatial Processes in HYdrology (SPHY) model (v2.0), its development background, its underlying concepts, and some typical applications. The SPHY model is developed using the best components of existing and well-tested simulation models, and is developed with the explicit aim to simulate terrestrial hydrology at flexible scales, under various land use and climate conditions. SPHY is a spatially distributed leaky bucket type of model, and is applied on a cell-by-cell basis. The model is written in the Python programming language using the PCRaster dynamic modelling framework. Compared to other hydrological models, that typically focus on the simulation of streamflow only, the SPHY model has several advantages: it (i) integrates most relevant hydrological processes, (ii) is setup modular, (iii) is easy adjustable and applicable, (iii) can easily be linked to remote sensing data, and (iv) can be applied for operational as well as strategic decision support. The most relevant hydrological processes that are integrated in the SPHY model are rainfall–runoff processes, cryosphere processes, evapotranspiration processes, the simulation of dynamic vegetational cover, lake/reservoir outflow, and the simulation of rootzone moisture contents. Studies in which the SPHY model was successfully applied and tested are described in this paper, and range from (i) real-time soil moisture predictions to support irrigation management in lowland areas, to (ii) detailed climate change impact studies in snow and glacier-fed river basins, to (iii) operational flow forecasting in mountainous catchments.

scholarly journals Determining water use of sorghum from two-source energy balance and radiometric temperatures

2011 ◽  
Vol 15 (10) ◽  
pp. 3061-3070 ◽  
Author(s):  
J. M. Sánchez ◽  
R. López-Urrea ◽  
E. Rubio ◽  
V. Caselles
Keyword(s):  
Energy Balance ◽  
Water Use ◽  
Irrigation Management ◽  
Crop Coefficient ◽  
Balance Model ◽  
Crop Water ◽  
Phenological Stages ◽  
Crop Water Use ◽  
Promising Tool ◽  
Experimental Campaign

Abstract. Estimates of surface actual evapotranspiration (ET) can assist in predicting crop water requirements. An alternative to the traditional crop-coefficient methods are the energy balance models. The objective of this research was to show how surface temperature observations can be used, together with a two-source energy balance model, to determine crop water use throughout the different phenological stages of a crop grown. Radiometric temperatures were collected in a sorghum (Sorghum bicolor) field as part of an experimental campaign carried out in Barrax, Spain, during the 2010 summer growing season. Performance of the Simplified Two-Source Energy Balance (STSEB) model was evaluated by comparison of estimated ET with values measured on a weighing lysimeter. Errors of ±0.14 mm h−1 and ±1.0 mm d−1 were obtained at hourly and daily scales, respectively. Total accumulated crop water use during the campaign was underestimated by 5%. It is then shown that thermal radiometry can provide precise crop water necessities and is a promising tool for irrigation management.

Management trends and responses to water scarcity in an irrigation scheme of Southern Spain

2008 ◽  
Vol 95 (4) ◽  
pp. 458-468 ◽  
Author(s):  
M. García-Vila ◽  
I.J. Lorite ◽  
M.A. Soriano ◽  
E. Fereres
Keyword(s):  
Water Scarcity ◽  
Southern Spain ◽  
Irrigation Scheme
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