Abstract

Abstract. This paper presents a research project which integrates technological tools for developing a complete system for monitoring and determining irrigation demand on a systematic basis in Cyprus. Such tools are multi-spectral remotely sensed data dynamic water budget simulation and optimization, crop evapotranspiration (ETc) models and micro-sensor technology. The main aim is to estimate ETc in Cyprus and, furthermore, to undertake the required measures for an effective irrigation water management in the future. Evapotranspiration is difficult to determine since it combines various meteorological and field parameters while in literature quite many different models for estimating ETc are put forward. The proposed wireless sensor network acts as a monitoring tool for providing measurements of the necessary parameters: meteorological, climatic data and other auxiliary parameters required by the irrigation model in order to determine the irrigation demand. Reflectance is determined directly from satellite images. Finally, using the WaterWare irrigation software, irrigation scheduling is planned for the area of interest in Paphos, Cyprus. This area is located at almost sea level and is characterized by mild micro-climate. The results of the paper refer to year 2009 and show the daily water requirements of the specific crop in study.

Highlights

  • The agricultural sector is one of the major consumers of water, consuming more than 70% of the world’s fresh diverted water use from rivers and groundwater

  • The use of irrigation water plays a significant part in increasing land productivity (Ahmad et al, 2008; Hongjun et al, 2008)

  • Multi-spectral satellite images are used to infer crop potential evapotranspiration which is the main input for water balance simulations

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Summary

Introduction

The agricultural sector is one of the major consumers of water, consuming more than 70% of the world’s fresh diverted water use from rivers and groundwater. The use of irrigation water plays a significant part in increasing land productivity (Ahmad et al, 2008; Hongjun et al, 2008). One of the main components of the water balance is the water loss via evapotranspiration, which is proportional – among others – to the vegetation cover of a region. Remote sensing is a very useful research tool in identifying irrigated areas and classify vegetation coverage. The objective of this research project is to describe and apply a procedure for monitoring and improving the performance of on-demand irrigation networks, based on the integration of remote sensing techniques and simulation modelling of irrigation water in Cyprus. Multi-spectral satellite images are used to infer crop potential evapotranspiration which is the main input for water balance simulations

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