Application of GIS and crop growth models in estimating water productivity
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In this paper, the authors applied crop growth simulation models coupled with geographic information system (GIS) to analyze water productivity, which is an indicator of water use efficiency, at the basin scale.About:
This article is published in Agricultural Water Management.The article was published on 2002-04-02 and is currently open access. It has received 65 citations till now. The article focuses on the topics: Water conservation & Water use.read more
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Journal ArticleDOI
GEPIC – modelling wheat yield and crop water productivity with high resolution on a global scale
TL;DR: In this article, a GIS-based EPIC model (GEPIC) is developed and tested to estimate wheat (Triticum aestivum L.) yield and crop water productivity (CWP) at a grid resolution of 30′ on the land surface.
Journal ArticleDOI
Regional crop yield, water consumption and water use efficiency and their responses to climate change in the North China Plain
TL;DR: In this article, the authors used the Vegetation Interface Processes (VIP) model to evaluate crop yield, water consumption (ET), and water use efficiency (WUE) of a winter wheat (Triticum aestivum L)summer maize (Zea mays L.) double cropping system in the North China Plain (NCP).
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A GIS-based tool for modelling large-scale crop-water relations
TL;DR: A GIS-based tool, or a GEPIC model, to estimate crop water productivity on the land surface with spatial resolution of 30arc-min is presented and shows a non-linear relationship between virtual water content (or the inverse of CWP) and crop yield.
Journal ArticleDOI
Future directions for advanced evapotranspiration modeling: Assimilation of remote sensing data into crop simulation models and SVAT models
Albert Olioso,Y. Inoue,Samuel Ortega-Farías,Jérôme Demarty,Jean-Pierre Wigneron,Isabelle Braud,Frédéric Jacob,Patrice Lecharpentier,Catherine Ottlé,Jean-Christophe Calvet,Nadine Brisson +10 more
TL;DR: In this article, a coupling between crop, SVAT and radiative transfer models was developed to implement assimilation procedures in various wavelength domains (solar, thermal and microwave) to transfer information from one model to another and then use remote sensing information for retrieving model parameters which are not directly related to remote sensing data.
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Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture
TL;DR: In this paper, the authors presented an approach to explore water management options in irrigated agriculture considering the constraints of water availability and the heterogeneity of irrigation system properties using remote sensing (RS) data.
References
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Book ChapterDOI
Yield response to water
TL;DR: In this paper, a methodology to quantify yield response to water through aggregate components which form the "handles" to assess crop yields under both adequate and limited water supply is presented, which takes into account maximum and actual crop yields as influenced by water deficits using yield response functions relating relative yield decrease and evapotranspiration deficits.
Book ChapterDOI
Decision support system for agrotechnology transfer: DSSAT v3
James W. Jones,Gordon Y. Tsuji,Gerrit Hoogenboom,L. A. Hunt,Philip K. Thornton,Paul W. Wilkens,D. T. Imamura,Walter Bowen,Upendra Singh +8 more
TL;DR: The decision support system for agrotechnology transfer (DSSAT) as discussed by the authors is a microcomputer software package that contains crop-soil simulation models, data bases for weather, soil, and crops, and strategy evaluation programs integrated with a ‘shell’ program which is the main user interface.