Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional Autónoma de México
2004
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| _version_ | 1876456672208093184 |
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| author | Jesús Soria Ruiz |
| author_facet | Jesús Soria Ruiz |
| contents | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico Jesús Soria Ruiz Rebeca Granados Ramírez Yolanda Fernández Ordóñez Ciencias de la Tierra corn yield Mexico prediction Remote sensing The main goal of agricultural crop management in any country is to guarantee food resources for its population.The heterogeneity of corn-growing conditions in many countries, especially in Mexico makes accurate predictions of yieldahead of harvest time difficult. Such predictions are needed by the government to estimate, ahead of time, the amount ofcorn required to be imported to meet the expected domestic shortfall. In this paper, therefore, a methodology for theestimation of corn yield ahead of harvest time is developed for the conditions of intensive production systems in centralMexico. The method is based on the multi-temporal analysis of NOAA-AVHRR satellite images, and uses normalizeddifference vegetation indices (NDVIs), Degree-Days (DDs) and Leaf Area Indices (LAIs) to predict corn occurrence andyield. Results of the application of the methodology to successfully identify sites with corn, and to predict corn yield inCentral Mexico, are presented and discussed. 2004 artículo científico 0188-4611 https://www.redalyc.org/articulo.oa?id=56905505 en http://www.redalyc.org/revista.oa?id=569 Investigaciones Geográficas (Mx) application/pdf Universidad Nacional Autónoma de México Investigaciones Geográficas (Mx) (México) Num.55 |
| format | Artículo científico |
| id | redalyc_56905505 |
| institution | Redalyc |
| language | en |
| publishDate | 2004 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico Jesús Soria Ruiz Ciencias de la Tierra corn yield Mexico prediction Remote sensing Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico Jesús Soria Ruiz Rebeca Granados Ramírez Yolanda Fernández Ordóñez Ciencias de la Tierra corn yield Mexico prediction Remote sensing The main goal of agricultural crop management in any country is to guarantee food resources for its population.The heterogeneity of corn-growing conditions in many countries, especially in Mexico makes accurate predictions of yieldahead of harvest time difficult. Such predictions are needed by the government to estimate, ahead of time, the amount ofcorn required to be imported to meet the expected domestic shortfall. In this paper, therefore, a methodology for theestimation of corn yield ahead of harvest time is developed for the conditions of intensive production systems in centralMexico. The method is based on the multi-temporal analysis of NOAA-AVHRR satellite images, and uses normalizeddifference vegetation indices (NDVIs), Degree-Days (DDs) and Leaf Area Indices (LAIs) to predict corn occurrence andyield. Results of the application of the methodology to successfully identify sites with corn, and to predict corn yield inCentral Mexico, are presented and discussed. 2004 artículo científico 0188-4611 https://www.redalyc.org/articulo.oa?id=56905505 en http://www.redalyc.org/revista.oa?id=569 Investigaciones Geográficas (Mx) application/pdf Universidad Nacional Autónoma de México Investigaciones Geográficas (Mx) (México) Num.55 |
| title | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico |
| topic | Ciencias de la Tierra corn yield Mexico prediction Remote sensing |
| url | https://www.redalyc.org/articulo.oa?id=56905505 |