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The use of remote sensing for estimating ET of irrigated wheat and cotton in Northwest Mexico

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Irrigation and Drainage Systems

Abstract

Components of a satellite-based system for estimating the crop water requirements of irrigated vegetation have been combined, applied, and tested against field data in the Yaqui Valley, northwest Mexico. Frequent satellite observations have the potential to provide snap shots of cloud variability at the high spatial and temporal resolutions that are needed for making simple, near real-time estimates of incoming solar radiation and, thus, daytime evaporation required for irrigation scheduling. Less frequent polar orbiting satellites offer the capacity of following the vegetation development at higher spatial resolution. The operational framework for obtaining cloud cover has been developed and applied using hourly sampled, 1 km resolution, GOES-10 data received in real-time. The high-resolution, cloud-screening algorithm has proved to be efficient and reliable and has been used to provide high-resolution (4 km) estimates of solar radiation.

Relationships between vegetation indices (NDVI and SAVI) and crop coefficients (the ratio of measured to reference evapotranspiration) have been derived with four different models (Shuttleworth, Penman, Priestley–Taylor and Makkink), using ground-based surface reflectance measured over the crop. Continuous measurements of surface fluxes and other meteorological variables were made following almost the entire vegetative cycle of the plant using a station equipped with standard meteorological instruments and an eddy-correlation system. Actual evapotranspiration was computed as the product of the estimated crop coefficients, derived from field radiometer measurements, and reference evapotranspiration. In comparison with ground data, RMSE values are on the order of 1 mm per day.

Finally the opportunity to use high-resolution satellite data to make near real-time estimates of crop evaporation is discussed.

Résumé

Composants d'un système basé en satellite pour estimer les exigences d'eau d'irrigation de la végétation ont été regroupés, appliqués, et testés contre les données du champ dans la Vallée Yaqui, nord-ouest de Mexique. Fréquentement les observations par satellite ont le potentiel de fournir les photos instantanées de variabilité du nuage à hautes résolutions spatiales et résolutions temporelles que sont nécessaire pour faire estimations simple et de temps réels, de la radiation solaire qui entre et, donc, l'évaporation de la journée a exigée pour planification de l'irrigation. Moins fréquent les gravitant satellites polaires offrent la capacité de suivre le développement de la végétation à plus haute résolution spatiale. La structure opérationnelle pour obtenir le plafond de nuages a été développée et appliquée utilisant des donnés de toutes les heures, á 1 km de résolution, GOES-10 données comme reçu dans le vrai temps., l'algorithme de discrimination de nuage d'haute résolution a prouvé pour être effectif et fiable et a été utilisé pour fournir la haute résolution (4 km) évaluations de radiation solaire.

Rapports entre index de la végétation (NDVI et SAVI) et coefficient de la récolte (la proportion de mesuré à evapotranspiration potentiel) avec quatre modèles différents (Shuttleworth, Penman, Priestley-Taylor and Makkink) a été dérivé, utiliser fondez reflectance de la surface basé mesuré sur la récolte. Continu mesurés de flux de la surface et autres variables météorologiques suivre presque le cycle végétatif entier de la plante qui utilise un poste équipée avec les instruments météorologiques standards et un système de la remous – corrélation. L'evapotranspiration réel a été calculé comme le produit des coefficients de la récolte estimés, dérivé de dimensions du radiomètre du champ, et evapotranspiration potentiel. En comparaison avec l'information du terre, RMSE les valeurs ont été sur l'ordre de 1 mm par jour.

Finalement l'occasion d'utiliser le données du satellite de haute résolution de faire près évaluations de vrai temps d'évaporation de la récolte est discutée.

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Authors and Affiliations

  1. Instituto Tecnologico de Sonora, 5 de Febrero 818 Sur, Cd. Obregón, Son., México

    Jaime Garatuza-Payan

  2. Instituto del Medio Ambiente y Desarrollo del Estado de Sonora, Reyes y Aguascalientes, Hermosillo, Son., México

    Christopher J. Watts

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  1. Jaime Garatuza-Payan
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  2. Christopher J. Watts
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Correspondence to Jaime Garatuza-Payan.

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Garatuza-Payan, J., Watts, C.J. The use of remote sensing for estimating ET of irrigated wheat and cotton in Northwest Mexico. Irrig Drainage Syst 19, 301–320 (2005). https://doi.org/10.1007/s10795-005-5192-2

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