Abstract
Vulnerability in agriculture is influenced, among others, by extended periods of water shortage in regions exposed to droughts. In order to assess irrigation water requirements, remote sensing (RS) techniques are integrated for the estimation and monitoring of cotton crop evapotranspiration ETc. Cotton fields in a small agricultural sub-catchment in Thessaly, Central Greece, are used as an experimental site. Daily meteorological data and weekly field data are recorded throughout seven (2004-2010) growing seasons for the computation of reference evapotranspiration ETo, crop coefficient Kc and cotton crop ETc based on conventional data, which are compared during the corresponding period with the satellite-based method (Landsat TM) for the estimation of cotton crop coefficient Kc and cotton crop ETc, which also delineates its spatiotemporal variability. The methodology is applied for monitoring Kc and ETc during growing season in the selected sub-catchment. Several error statistics are used showing very good agreement with ground-truth observations.
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