@inproceedings{e5caadc405104f23b96e97f59888c378,
title = "Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data",
abstract = "A spatial soil water balance modelling approach that utilized remote sensing and ground-based data was developed to guide surface irrigation scheduling of farm-size cotton borders in a field experiment in Arizona, USA. The objective was to evaluate spatial estimates of daily crop evapotranspiration (ETc) calculated for small, 4 × 8 m cells within 12 × 168 m cotton borders. Estimated ETc rates during the season compared favourably with ETc data based on soil water content measurements, though underestimating field-based ETc by an average of 0.25-0.46 mm/d. Results suggest that the spatial modelling approach could be a useful decision-making tool for improving irrigation scheduling of surface-irrigated fields.",
keywords = "Arizona, Cotton, Crop coefficient, Evapotranspiration, Irrigation management, Maricopa, Surface irrigation, Vegetation index",
author = "Douglas Hunsaker and Andrew French and Peter Waller and Eduardo Bautista and Patrick Royer and Kelly Thorp and Pedro Andrade-Sanchez and John Heun",
year = "2012",
language = "English (US)",
isbn = "9781907161278",
series = "IAHS-AISH Publication",
pages = "414--418",
booktitle = "Remote Sensing and Hydrology",
note = "Remote Sensing and Hydrology Symposium ; Conference date: 27-09-2010 Through 30-09-2010",
}