A Comparison of a Hydrological and an Energy Balance Model for Estimating Evapotranspiration of Chickpeas at Paphos (SW Cyprus) Agricultural Area
The objective of this paper is to describe a methodological tool in order to improve the performance of irrigation demand based on the integration of remote sensing techniques and simulation modeling of irrigation water in Cyprus. For this purpose two different models were examined for specific annual crops (chickpeas) cultivated in the agricultural area of Mandria (SW Cyprus). The first one is a dynamic water budget model that supports multi-criteria optimization of water allocation and use. Estimating evapotranspiration involves irrigation demand estimation models which are based on predicted or observed meteorological data, crops and cropping patterns and individual crop physiological water demand. The second model is a fully based satellite image technique (SEBAL). SEBAL is a direct method to estimate evapotranspiration without a priori knowledge on soil, crop, and management conditions. Although evapotranspiration is very difficult to be calculated since it is not a straightforward procedure the comparison of the two different methods indicates similar results between them. The results had no any statistical significance difference using the T-test.
KeywordsAgricultural Area Water Allocation Water Vapour Transport Energy Balance Model Irrigation Demand
Thanks are given to the Remote Sensing Laboratory of the Department of Civil Engineering & Geomatics at the Cyprus University of Technology for the support (http://www.cut.ac.cy/) and the Meteorological Service of Cyprus for providing climate data. This study is part of G. Papadavid Ph.D. Thesis which is both supported by ‘Cyprus Research Promotion Foundation fund (PENEK/ENISX/0308/13’) and the Cyprus University Research Committee fund (‘Integration’/Internal project).
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