Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards

Campos, Isidro; Balbontín, Claudio; González-Piqueras, José; González‐Dugo, M. P.; Neale, Christopher M. U.; Calera, Alfonso

doi:10.1016/j.agwat.2015.11.018

Cited by 61 publications

(33 citation statements)

References 37 publications

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“…Some approaches assimilate into the soil water balance models, either water stress estimates based on canopy temperature [99,100] or ET estimates based on SEB models [73,92,95,101], in order to calibrate the fraction of water depleted derived from the water balance model. In a slightly different approach, some authors propose the integration of actual ET values in order to calibrate the soil water balance model in terms of the root zone storage capacity [94,102,103,104]. The rationale of these approaches is that any empirical approach to the plant water stress, or alternative formulations as those based on the canopy temperature, must be equivalent to the soil water stress, a stress index based on the parametrization of the soil properties [101].…”

Section: Remote Sensing-based Estimates Of Evapotranspirationmentioning

confidence: 99%

Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users

Calera

Campos

Osann

et al. 2017

Sensors

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The experiences gathered during the past 30 years support the operational use of irrigation scheduling based on frequent multi-spectral image data. Currently, the operational use of dense time series of multispectral imagery at high spatial resolution makes monitoring of crop biophysical parameters feasible, capturing crop water use across the growing season, with suitable temporal and spatial resolutions. These achievements, and the availability of accurate forecasting of meteorological data, allow for precise predictions of crop water requirements with unprecedented spatial resolution. This information is greatly appreciated by the end users, i.e., professional farmers or decision-makers, and can be provided in an easy-to-use manner and in near-real-time by using the improvements achieved in web-GIS methodologies (Geographic Information Systems based on web technologies). This paper reviews the most operational and explored methods based on optical remote sensing for the assessment of crop water requirements, identifying strengths and weaknesses and proposing alternatives to advance towards full operational application of this methodology. In addition, we provide a general overview of the tools, which facilitates co-creation and collaboration with stakeholders, paying special attention to these approaches based on web-GIS tools.

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Section: Remote Sensing-based Estimates Of Evapotranspirationmentioning

confidence: 99%

Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users

Calera

Campos

Osann

et al. 2017

Sensors

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197

120

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“…Working in similar canopies like vineyards on a trellis system [30] obtained an RMSE equal to 0.45 and 0.76 mm¨day´1 during two consecutive growing seasons comparing EC measurements and ET c derived from a remote sensing-based water balance, using the relationship between NDVI and the single crop coefficient K c . For a variety of rainfed and irrigation vineyards, reference [68] obtained an RMSE lower than 0.65 mm¨day´1 for each analyzed campaign using a satellite-based crop coefficient and one layer soil water balance. In a row structured vineyard, reference [69] obtained an RMSE of 0.47 mm¨day´1 (17% of the measured values) using the single crop coefficient approach based on the FAO-56 tabulated coefficients.…”

Section: Evaluation Of the One Layer Soil Water Balance Model For Estmentioning

confidence: 99%

Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance

et al. 2016

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Abstract:The main goal of this research was to estimate the actual evapotranspiration (ET c ) of a drip-irrigated apple orchard located in the semi-arid region of Talca Valley (Chile) using a remote sensing-based soil water balance model. The methodology to estimate ET c is a modified version of the Food and Agriculture Organization of the United Nations (FAO) dual crop coefficient approach, in which the basal crop coefficient (K cb ) was derived from the soil adjusted vegetation index (SAVI) calculated from satellite images and incorporated into a daily soil water balance in the root zone. A linear relationship between the K cb and SAVI was developed for the apple orchard K cb = 1.82¨SAVI´0.07 (R 2 = 0.95). The methodology was applied during two growing seasons (2010-2011 and 2012-2013), and ET c was evaluated using latent heat fluxes (LE) from an eddy covariance system. The results indicate that the remote sensing-based soil water balance estimated ET c reasonably well over two growing seasons. The root mean square error (RMSE) between the measured and simulated ET c values during 2010-2011 and 2012-2013 were, respectively, 0.78 and 0.74 mm¨day´1, which mean a relative error of 25%. The index of agreement (d) values were, respectively, 0.73 and 0.90. In addition, the weekly ET c showed better agreement. The proposed methodology could be considered as a useful tool for scheduling irrigation and driving the estimation of water requirements over large areas for apple orchards.

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“…However, applying these methods to fruit trees is of paramount importance [12,13] because the differences in local practices (planting densities, plant architecture, and the management of the crop understory) have a great effect on the actual value of the crop coefficient [14]. Successful evaluations of the estimated ETc using the Kc-VI relationship have been determined for pecan trees [15], vineyards [12,16], and apples [17]. Some of these authors already postulated the desirable use of these approaches for irrigation assessment in operative scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…This relationship was demonstrated to be similar to the Kcb-NDVI described by Bausch and Neale [30] for corn, and the same relationship has been demonstrated valid for the assessment of crop transpiration in several canopies and various climate conditions. In this sense, Campos et al [16,31] demonstrated the aptitude of this relationship to estimate crop transpiration in row-vines in central Portugal and bush-vines in the West of Spain. Campos et al [32,33] evaluated this relationship in Mediterranean savanna (natural vegetation) in the East of Spain.…”

Section: Estimation Of Crop Transpirationmentioning

confidence: 99%

Irrigation Performance Assessment in Table Grape Using the Reflectance-Based Crop Coefficient

et al. 2017

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Abstract:In this paper, we present the results of our study on the operational application of the reflectance-based crop coefficient for assessing table grape irrigation requirements. The methodology was applied to provide irrigation advice and to assess the irrigation performance. The net irrigation water requirements (NIWR) simulated using the reflectance-based basal crop coefficient were provided to the farmer during the growing season and compared with the actual irrigation volumes applied. Two treatments were implemented in the field, increasing and reducing the irrigation doses by 25%, respectively, compared to the regular management. The experiment was carried out in a commercial orchard during three consecutive growing seasons in Northern Chile. The NIWR based on the model was approximately 900 mm per season for the orchard at tree maturity. The experimental results demonstrate that the regular irrigation applied covered only 76% of the NIWR for the whole season, and the analysis of monthly and weekly accumulated values indicates several periods of water shortage. The regular management system tended to underestimate the water requirements from October to January and overestimate the water requirements after harvest from February to April. The level of the deficit of water was quantified using such plant physiological parameters as stem water potential, vegetative development (coverage), and fruit productivity. The estimated NIWR was roughly covered in the treatment where the irrigation dose was increased, and the analyses of the crop production and fruit quality point to the relative advantage of this treatment. Finally, we conclude that the proposed approach allows the analysis of irrigation performance on the scale of commercial fields. These analytic capabilities are based on the well-demonstrated relationship of the crop evapotranspiration with the information provided by satellite images, and provide valuable information for irrigation management by identifying periods of water shortage and over-irrigation.

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Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards

Cited by 61 publications

References 37 publications

Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users

Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users

Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance

Irrigation Performance Assessment in Table Grape Using the Reflectance-Based Crop Coefficient

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