scholarly journals Daily Crop Evapotranspiration, Crop Coefficient and Energy Balance Components of a Surface-Irrigated Maize Field

10.5772/18352 ◽  
2011 ◽  
Author(s):  
Jose O. ◽  
Suat Irmak
Keyword(s):  
Energy Balance ◽  
Crop Coefficient ◽  
Crop Evapotranspiration ◽  
Maize Field

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 EVAPOTRANSPIRAÇÃO DE CULTURA: UMA ABORDAGEM DOS PRINCIPAIS MÉTODOS APLICADOS ÀS PESQUISAS CIENTÍFICAS E NA AGRICULTURA

Irriga ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 719-746
Author(s):  
Luan Peroni Venancio ◽  
Fernando França Da Cunha ◽  
Everardo Chartuni Mantovani ◽  
Cibele Hummel Do Amaral ◽  
Edvaldo Fialho Dos Reis
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Irrigation Management ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Crop Coefficient ◽  
Bowen Ratio ◽  
Climatic Conditions ◽  
Irrigated Agriculture ◽  
Crop Evapotranspiration

EVAPOTRANSPIRAÇÃO DE CULTURA: UMA ABORDAGEM DOS PRINCIPAIS MÉTODOS APLICADOS ÀS PESQUISAS CIENTÍFICAS E NA AGRICULTURA     LUAN PERONI VENANCIO1; FERNANDO FRANÇA DA CUNHA1; EVERARDO CHARTUNI MANTOVANI1; CIBELE HUMMEL DO AMARAL2 E EDVALDO FIALHO DO REIS3     1Departamento de Engenharia Agrícola, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, s/n, Campus Universitário, CEP: 36570-900, Viçosa, MG, Brasil, [email protected], [email protected], [email protected] 2Departamento de Engenharia Florestal, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, s/n, CEP: 36570-900, Viçosa, MG, Brasil, [email protected] 3Departamento de Engenharia Rural, Universidade Federal do Espírito Santo, Alto Universitário, s/nº, Guararema, CEP: 29500-000, Alegre, ES, [email protected]     1 RESUMO   Existem muitas metodologias para medição ou estimativa da evapotranspiração de cultura (ETc). Essas metodologias apresentam grandes diferenças entre si, especialmente no que se refere à base de formulação (empíricos, físicos ou a combinação de ambos), ao nível tecnológico (equipamentos, sensores sofisticados, etc.), a necessidade de dados de entrada, a área de aplicação, custo e precisão. Esta diversidade está relacionada à complexidade envolvida na transferência de água do sistema solo-planta para a atmosfera, com as variadas condições climáticas ao redor do planeta e também com os diferentes tipos de vegetação estudados. Nesta revisão, os seguintes métodos foram descritos e revisados: lisimetria (LIS), balanço de água no solo (BAS), razão de Bowen - balanço de energia (RBBE), covariância de vórtices turbulentos (CVT), modelos de fluxo de seiva (MFS), sistema de câmaras (SC), e métodos baseados no coeficiente de cultura (MBKc). Por fim, os métodos baseados no balanço de energia das superfícies (SRBE) e em índices de vegetação (SRIV), calculados a partir de dados de sensoriamento remoto (SR). Esses métodos foram selecionados por serem considerados, dentro do seu tipo de abordagem (hidrológica, micrometeorológica, fisiológica, empírica e sensoriamento remoto), os mais difundidos entre a comunidade científica internacional, e na agricultura.   Palavras-chave: agricultura irrigada, consumo hídrico, manejo da irrigação, coeficiente de cultura, sensoriamento remoto.     VENANCIO, L. P.; CUNHA, F. F.; MANTOVANI, E. C.; AMARAL, C. H.; REIS, E. F. CROP EVAPOTRANSPIRATION: AN APPROACH TO MAIN METHODS APPLIED TO SCIENTIFIC RESEARCHES AND IN AGRICULTURE     2 ABSTRACT   There are many methodologies for measuring or estimating crop evapotranspiration (ETc). These methodologies differ greatly from each other depending on the approach (empirical, physical or a combination of both), technological level, input dataset, application area, cost and accuracy. This wide diversity is related to the complexity involved in water transference from the soil-plant system to the atmosphere, within various climatic conditions around the Earth and also to the different types of vegetation. In this review, the following methods were described and reviewed: lysimeter (LIS), soil water balance (BAS), Bowen ratio - energy balance (RBBE), eddy covariance (CVT), sap-flow models (MFS), chamber system (SC) and, crop coefficient-based methods (MBKc). Finally, the methods based on surface energy balance (SRBE) and vegetation indices (SRIV) were estimated through remote sensing data (SR).These methods were selected because they are considered, within their type of approach (hydrological, micrometeorological, physiological, empirical and remote sensing), the most widespread among the international scientific community and in agriculture.   Keywords: irrigated agriculture, water consumption, irrigation management, crop coefficient, remote sensing.

BOWEN RATIO-ENERGY BALANCE ESTIMATES OF EVAPOTRANSPIRATION AND CROP COEFFICIENT FOR TOMATO PLANTS

1996 ◽  
pp. 121-126
Author(s):  
A.M.R. Abdel-Mawgoud ◽  
S.O. El-Abd ◽  
A.F. Abou-Hadid ◽  
T.C. Hsiao
Keyword(s):  
Energy Balance ◽  
Crop Coefficient ◽  
Bowen Ratio ◽  
Tomato Plants ◽  
Ratio Energy

scholarly journals Necesidades hídricas de estevia calculadas con el coeficiente del cultivo

2017 ◽  
Vol 28 (2) ◽  
pp. 509
Author(s):  
Martha Constanza Daza Torres ◽  
Hugo Stiven Meneses Carvajal ◽  
Aldemar Reyes Trujillo ◽  
Norberto Urrutia Cobo
Keyword(s):  
Growth Stage ◽  
Stevia Rebaudiana ◽  
Crop Coefficient ◽  
Field Capacity ◽  
Drainage Water ◽  
Mature Stage ◽  
Crop Evapotranspiration ◽  
Stevia Rebaudiana Bertoni ◽  
Valle Del Cauca ◽  
Monteith Equation

This study aimed to determine the crop coefficient (Kc) curve for stevia (Stevia rebaudiana Bertoni) in Candelaria, Valle del Cauca, Colombia. The experiment was conducted during the first half of 2015. In a plot planted with stevia, were located three drainage lysimeters arranged randomly and a portable weather station to determine climatic variables necessary for calculating an evapotranspiration reference (ETo), using the Penman Monteith equation. Soil eld capacity moisture was determined and regular monitoring of both, soil moisture and drainage water depth were performed. Irrigation was applied using an exhaustion coefficient of 10% to bring it back to field capacity moisture. Statistical analyzes were performed and Kc was calculated from the ratio of crop evapotranspiration (ETc) to ETo, for each plant in phenological phase. With condidence of 95% Kc for stevia were: growth stage (54 days after transplantation, ddt) 0.86 ± 0.12, mature stage (55-72 ddt) 1.24 ± 0.10 and senescence stage (72-96 ddt) 0.85 ± 0.14. Water consumption of Stevia rebaudiana B., was 4753 m3/ha during its growing cycle of 96 days after transplantation. 

scholarly journals Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing

2021 ◽  
Vol 42 (4) ◽  
pp. 2181-2202
Author(s):  
Taiara Souza Costa ◽  
◽  
Robson Argolo dos Santos ◽  
Rosângela Leal Santos ◽  
Roberto Filgueiras ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Crop Coefficient ◽  
Coefficient Of Determination ◽  
Landsat 8 ◽  
Crop Evapotranspiration ◽  
Biophysical Parameters ◽  
Planting Dates ◽  
Maize Crop ◽  
Spatio Temporal

This study proposes to estimate the actual crop evapotranspiration, using the SAFER model, as well as calculate the crop coefficient (Kc) as a function of the normalized difference vegetation index (NDVI) and determine the biomass of an irrigated maize crop using images from the Operational Land Imager (OLI) and Thermal Infrared (TIRS) sensors of the Landsat-8 satellite. Pivots 21 to 26 of a commercial farm located in the municipalities of Bom Jesus da Lapa and Serra do Ramalho, west of Bahia State, Brazil, were selected. Sowing dates for each pivot were arranged as North and South or East and West, with cultivation starting firstly in one of the orientations and subsequently in the other. The relationship between NDVI and the Kc values obtained in the FAO-56 report (KcFAO) revealed a high coefficient of determination (R2 = 0.7921), showing that the variance of KcFAO can be explained by NDVI in the maize crop. Considering the center pivots with different planting dates, the crop evapotranspiration (ETc) pixel values ranged from 0.0 to 6.0 mm d-1 during the phenological cycle. The highest values were found at 199 days of the year (DOY), corresponding to around 100 days after sowing (DAS). The lowest BIO values occur at 135 DOY, at around 20 DAS. There is a relationship between ETc and BIO, where the DOY with the highest BIO are equivalent to the days with the highest ETc values. In addition to this relationship, BIO is strongly influenced by soil water availability.

scholarly journals Microclimate Characteristics and Evapotranspiration Estimates of Cucumber Plants in a Newly Developed Sunken Solar Greenhouse

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2275
Author(s):  
Haijun Liu ◽  
Congyan Yin ◽  
Xiaodong Hu ◽  
Josef Tanny ◽  
Xiaopei Tang
Keyword(s):  
North China ◽  
Crop Coefficient ◽  
Soil Surface ◽  
Fruit Production ◽  
Daily Maximum ◽  
Crop Evapotranspiration ◽  
Cucumber Fruit ◽  
Solar Greenhouse ◽  
New Type ◽  
Reference Crop

In north China, vegetables are always cultivated in conventional solar greenhouses (SG), however, these structures cannot be used during most of the winter due to extremely low temperatures. In this study, a new type of a solar greenhouse named sunken solar greenhouse (SSG), where the inside soil surface is lowered 1–2 m below outside and the back wall is 5–8 m width at the bottom and 1.5–2 m on top, was investigated. Inside climatic variables were recorded and compared with those outside during seven cucumber cultivation seasons. Crop evapotranspiration (ETc) was estimated using the Penman–Monteith method. Results show that inside solar radiation was reduced by approximately 40%, however days with a daily maximum inside temperature higher than 20 °C accounted for 80–90% of the days during the winter, which greatly enhanced cucumber fruit production compared to common SGs. The reference crop evapotranspiration (ETo) inside the SSG was reduced by 27% compared to outside. The estimated ETc was generally lower than 4 mm day−1, which resulted in a basal crop coefficient of 0.83. In conclusion, the SSG is environmental-friendly, preferable for winter vegetable cultivation in north China, and can be useful for other regions of the world with cold winter 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.

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