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Title

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

AuthorsRamírez-Cuesta, Juan Miguel; Mirás-Avalos, José Manuel; Rubio-Asensio, José Salvador; Intrigliolo, Diego S.
KeywordsAgricultural modelling
ArcPy
Crop water stress
Python
Soil water balance
Issue Date25-Dec-2018
PublisherMultidisciplinary Digital Publishing Institute
CitationWater 11(1): 38 (2018)
AbstractAdvances in information and communication technologies facilitate the application of complex models for optimizing agricultural water management. This paper presents an easy-to-use tool for determining crop water demands using the dual crop coefficient approach and remote sensing imagery. The model was developed using Python as a programming language and integrated into an ArcGIS (geographic information system) toolbox. Inputs consist of images from satellites Landsat 7 and 8, and Sentinel 2A, along with data for defining crop, weather, soil type, and irrigation system. The tool produces a spatial distribution map of the crop evapotranspiration estimates, assuming no water stress, which allows quantifying the water demand and its variability within an agricultural field with a spatial resolution of either 10 m (for Sentinel) or 30 m (for Landsat). The model was validated by comparing the estimated basal crop coefficients (K<sub>cb</sub>) of lettuce and peach during an irrigation season with those tabulated as a reference for these crops. Good agreements between K<sub>cb</sub> derived from both methods were obtained with a root mean squared error ranging from 0.01 to 0.02 for both crops, although certain underestimations were observed resulting from the uneven crop development in the field (percent bias of −4.74% and −1.80% for lettuce and peach, respectively). The developed tool can be incorporated into commercial decision support systems for irrigation scheduling and other applications that account for the water balance in agro-ecosystems. This tool is freely available upon request to the corresponding author.
Publisher version (URL)http://dx.doi.org/10.3390/w11010038
URIhttp://hdl.handle.net/10261/176145
DOI10.3390/w11010038
ISSN2073-4441
Appears in Collections:(CEBAS) Artículos
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