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Support Irrigation Water Management of Cereals Using Optical Remote Sensing and Modeling in a Semi-Arid Region

Support Irrigation Water Management of Cereals Using Optical Remote Sensing and Modeling in a Semi-Arid Region

Tarik Benabdelouahab, Hayat Lionboui, Rachid Hadria, Riad Balaghi, Abdelghani Boudhar, Bernard Tychon
Copyright: © 2019 |Pages: 22
ISBN13: 9781522559399|ISBN10: 1522559396|ISBN13 Softcover: 9781522587347|EISBN13: 9781522559405
DOI: 10.4018/978-1-5225-5939-9.ch008
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MLA

Benabdelouahab, Tarik, et al. "Support Irrigation Water Management of Cereals Using Optical Remote Sensing and Modeling in a Semi-Arid Region." Geospatial Technologies for Effective Land Governance, edited by Moha El-Ayachi and Loubna El Mansouri, IGI Global, 2019, pp. 124-145. https://doi.org/10.4018/978-1-5225-5939-9.ch008

APA

Benabdelouahab, T., Lionboui, H., Hadria, R., Balaghi, R., Boudhar, A., & Tychon, B. (2019). Support Irrigation Water Management of Cereals Using Optical Remote Sensing and Modeling in a Semi-Arid Region. In M. El-Ayachi & L. El Mansouri (Eds.), Geospatial Technologies for Effective Land Governance (pp. 124-145). IGI Global. https://doi.org/10.4018/978-1-5225-5939-9.ch008

Chicago

Benabdelouahab, Tarik, et al. "Support Irrigation Water Management of Cereals Using Optical Remote Sensing and Modeling in a Semi-Arid Region." In Geospatial Technologies for Effective Land Governance, edited by Moha El-Ayachi and Loubna El Mansouri, 124-145. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5939-9.ch008

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Abstract

Irrigated agriculture is an important strategic sector for Morocco, contributing to food security and employment. Nowadays, irrigation scheme managers shall ensure that water is optimally used. The main objective was to support the irrigation monitoring and management of wheat in the irrigated perimeter using optical remote sensing and crop modeling. The potential of spectral indices derived from SPOT-5 images was explored for quantifying and mapping surface water content changes at large scale. Indices were computed using the reflectance in red, near infrared, and shortwave infrared bands. A field crop model (AquaCrop) was adjusted and tested to simulate the grain yield and the temporal evolution of soil moisture status. This research aimed at providing a scientific and technical approach to assist policymakers and stakeholders to improve monitoring irrigation and mitigating wheat water stress at field and irrigation perimeter levels in semi-arid areas. The approach could lead to operational management tools for an efficient irrigation at field and regional levels.

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