Integrating forecast meteorological data into the ArcDualKc model for estimating spatially distributed evapotranspiration rates of a citrus orchard

G. Longo-Minnolo, D. Vanella, S. Consoli, D.S. Intrigliolo and J.M. Ramírez-Cuesta

Agricultural Water Management, 2020, vol. 231, issue C

Abstract: In the last years, several satellite-based models, using measured or forecast meteorological data, have been developed for determining spatially distributed crop evapotranspiration (ETc) estimates. The study herein presented aims at assessing the reliability of the ArcDualKc model, based on the FAO-56 dual crop coefficient (Kc), for deriving spatially distributed estimates of Kc and ETc in a deficit irrigated (DI) orange orchard. Daily ETc and dual-Kc values were obtained using Sentinel-2 satellite imagery in combination with measured and forecast meteorological data provided by the nearest weather station and by COSMO model, respectively. Overestimations on Kc and ETc resulted from the study when using forecast instead of measured meteorological data (average PBIAS of 7.62% and 26.24%, respectively); this might be caused by some inaccuracies in meteorological predictions. The evaporation coefficient (Ke) derived by the ArcDualKc model resulted similar between the DI and the fully irrigated treatments. Differences up to 6% in terms of Kc and ETc were identified among the irrigation strategies, mainly due to variations of the transpiration coefficient (Kcb). Despite the reliability of the ArcDualKc model, the obtained results might be influenced by the heterogeneity of Sentinel-2 pixel, containing vegetated and bare soil surfaces, highlighting the need to integrate the model with ground-based data or by using higher-resolution images.

Keywords: Remote sensing data; Modelling; Sentinel-2; Crop coefficients; Precision irrigation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378377419312491
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:231:y:2020:i:c:s0378377419312491

DOI: 10.1016/j.agwat.2019.105967

Access Statistics for this article

Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns

More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().