Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico
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 yield ahead of harvest time difficult. Such predictions are needed by the...
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| Format: | Article |
| Language: | English |
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Universidad Nacional Autónoma de México
2012-02-01
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| Series: | Investigaciones Geográficas |
| Subjects: | |
| Online Access: | http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/30111 |
| _version_ | 1818302834610798592 |
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| author | Jesús Soria Ruiz Yolanda Fernández Ordóñez Rebeca Granados Ramírez |
| author_facet | Jesús Soria Ruiz Yolanda Fernández Ordóñez Rebeca Granados Ramírez |
| author_sort | Jesús Soria Ruiz |
| collection | DOAJ |
| description | 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 yield ahead of harvest time difficult. Such predictions are needed by the government to estimate, ahead of time, the amount of corn required to be imported to meet the expected domestic shortfall. In this paper, therefore, a methodology for the estimation of corn yield ahead of harvest time is developed for the conditions of intensive production systems in central Mexico. The method is based on the multi-temporal analysis of NOAA-AVHRR satellite images, and uses normalized difference vegetation indices (NDVIs), Degree-Days (DDs) and Leaf Area Indices (LAIs) to predict corn occurrence and yield. Results of the application of the methodology to successfully identify sites with corn, and to predict corn yield in Central Mexico, are presented and discussed. |
| first_indexed | 2024-12-13T05:45:12Z |
| format | Article |
| id | doaj.art-6035d803ed6b4ce0b7cc5b5af5cc816a |
| institution | Directory Open Access Journal |
| issn | 0188-4611 2448-7279 |
| language | English |
| last_indexed | 2024-12-13T05:45:12Z |
| publishDate | 2012-02-01 |
| publisher | Universidad Nacional Autónoma de México |
| record_format | Article |
| series | Investigaciones Geográficas |
| spelling | doaj.art-6035d803ed6b4ce0b7cc5b5af5cc816a2022-12-21T23:57:41ZengUniversidad Nacional Autónoma de MéxicoInvestigaciones Geográficas0188-46112448-72792012-02-0105510.14350/rig.3011128317Methodology for prediction of corn yield using remote sensing satellite data in Central MexicoJesús Soria Ruiz0Yolanda Fernández Ordóñez1Rebeca Granados Ramírez2Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Vialidad Adolfo López Mateos, Km. 4.5 Carretera Toluca-Zitácuaro, 51350, Zinacantepec, Estado de México. E-mail: soria.jesus@inifap.gob.mxColegio de Postgraduados en Ciencias Agrícolas, Km. 35.5 Carretera México-Texcoco, 56230, Montecillo, Estado de México. E-mail: yfernand@colpos.mxInstituto de Geografía, UNAM, Circuito Exterior, Cd. Universitaria, 04510, Coyoacán, Mexico, D. F.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 yield ahead of harvest time difficult. Such predictions are needed by the government to estimate, ahead of time, the amount of corn required to be imported to meet the expected domestic shortfall. In this paper, therefore, a methodology for the estimation of corn yield ahead of harvest time is developed for the conditions of intensive production systems in central Mexico. The method is based on the multi-temporal analysis of NOAA-AVHRR satellite images, and uses normalized difference vegetation indices (NDVIs), Degree-Days (DDs) and Leaf Area Indices (LAIs) to predict corn occurrence and yield. Results of the application of the methodology to successfully identify sites with corn, and to predict corn yield in Central Mexico, are presented and discussed.http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/30111Remote sensingcornyieldpredictionMexico |
| spellingShingle | Jesús Soria Ruiz Yolanda Fernández Ordóñez Rebeca Granados Ramírez Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico Investigaciones Geográficas Remote sensing corn yield prediction Mexico |
| title | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico |
| title_full | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico |
| title_fullStr | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico |
| title_full_unstemmed | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico |
| title_short | Methodology for prediction of corn yield using remote sensing satellite data in Central Mexico |
| title_sort | methodology for prediction of corn yield using remote sensing satellite data in central mexico |
| topic | Remote sensing corn yield prediction Mexico |
| url | http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/30111 |
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