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Estimación de la cosecha de trigo en Andalucía usando series temporales de MERIS Terrestrial Chlorophyll Index (MTCI)

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Estimación de la cosecha de trigo en Andalucía usando series temporales de MERIS Terrestrial Chlorophyll Index (MTCI)

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dc.contributor.author Egea-Cobrero, V. es_ES
dc.contributor.author Rodriguez-Galiano, V. es_ES
dc.contributor.author Sánchez-Rodríguez, E. es_ES
dc.contributor.author García-Pérez, M.A. es_ES
dc.date.accessioned 2018-07-10T07:15:27Z
dc.date.available 2018-07-10T07:15:27Z
dc.date.issued 2018-06-29
dc.identifier.issn 1133-0953
dc.identifier.uri http://hdl.handle.net/10251/105604
dc.description.abstract [EN] There is a relationship between net primary production of wheat and vegetation indices obtained from satellite imaging. Most wheat production studies use the Normalised Difference Vegetation Index (NDVI) to estimate the production and yield of wheat and other crops. On the one hand, few studies use the MERIS Terrestrial Chlorophyll Index (MTCI) to determine crop yield and production on a regional level. This is possibly due to a lack of continuity of MERIS. On the other hand, the emergence of Sentinel 2 open new possibilities for the research and application of MTCI. This study has built two empirical models to estimate wheat production and yield in Andalusia. To this end, the study used the complete times series (weekly images from 2006–2011) of the MTCI vegetation index from the Medium Resolution Imaging Spectrometer (MERIS) sensor associated with the Andalusian yearbook for agricultural and fishing statistics (AEAP—Anuario de estadísticas agrarias y pesqueras de Andalucía). In order to build these models, the optimal development period for the plant needed to be identified, as did the time-based aggregation of MTCI values using said optimal period as a reference, and relation with the index, with direct observations of production and yield through spatial aggregation using coverage from the Geographic Information System for Agricultural Parcels (SIGPAC—Sistema de información geográfica de parcelas agrícolas) and requests for common agricultural policy (CAP) assistance. The obtained results indicate a significant association between the MTCI index and the production and yield data collected by AEAP at the 95% confidence level (R2 =0.81 and R2 =0.57, respectively). es_ES
dc.description.abstract [ES] Existe una relación entre la producción primaria neta del trigo y los índices de vegetación obtenidos de imágenes de satélite. Con frecuencia se utiliza el NDVI (Normalized Difference Vegetation Index) para la estimación de producción y rendimiento de trigo y otros cultivos. Sin embargo, hay pocas investigaciones que utilicen el índice MTCI (MERIS Terrestrial Chlorophyll Index) para conocer el rendimiento y la producción de los cultivos a una escala regional posiblemente debido a la falta de continuidad del sensor MERIS. No obstante, la posibilidad del cálculo de MTCI a partir de Sentinel 2 abre nuevas oportunidades para su aplicación e investigación. En esta investigación se han generado dos modelos empíricos de estimación de producción y rendimiento de trigo en Andalucía. Para ello, se ha empleado la serie temporal completa (imágenes semanales de 2006 a 2011) del índice de vegetación MTCI del sensor satelital MERIS (Medium Resolution Imaging Spectrometer) asociada a los datos de producción y rendimiento del Anuario de estadísticas agrarias y pesqueras de Andalucía (AEAP). Para la creación de estos modelos ha sido necesaria la identificación del periodo óptimo del desarrollo de la planta, la agregación temporal de los valores MTCI usando ese momento óptimo como referencia, relacionar ese índice con observaciones directas de producción y rendimiento a través de agregaciones espaciales mediante la utilización de coberturas SIGPAC y las solicitudes de ayudas PAC, caracterizar la variación del índice en función del año de cultivo y relacionarlo con los datos estadísticos. Los resultados obtenidos indican una correlación estadísticamente significativa (p-valor < 0,05) entre el índice MTCI y los datos de producción y rendimiento recogidos por AEAP (R2=0,81 y 0,57, respectivamente). es_ES
dc.description.sponsorship Agradecemos la financiación obtenida de MINECO (Proyectos BIA2013-43462-P, CSO2014-51994-P) y de la Junta de Andalucía (Grupo Investigación RNM177). es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof Revista de Teledetección
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Teledetección es_ES
dc.subject MTCI es_ES
dc.subject Modelo es_ES
dc.subject Trigo es_ES
dc.subject Cosecha es_ES
dc.subject Series temporales es_ES
dc.subject Remote sensing es_ES
dc.subject Model es_ES
dc.subject Wheat es_ES
dc.subject Yield es_ES
dc.subject Time series es_ES
dc.title Estimación de la cosecha de trigo en Andalucía usando series temporales de MERIS Terrestrial Chlorophyll Index (MTCI) es_ES
dc.title.alternative Wheat yield prediction in Andalucía using MERIS Terrestrial Chlorophyll Index (MTCI) time series es_ES
dc.type Artículo es_ES
dc.date.updated 2018-07-09T07:15:49Z
dc.identifier.doi 10.4995/raet.2018.8891
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BIA2013-43462-P/ES/SIMULACIONES GEOMATICAS PARA MODELIZAR DINAMICAS AMBIENTALES II. HORIZONTE 2020/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CSO2014-51994-P/ES/ESPACIALIZACION Y DIFUSION WEB A ESCALAS DE DETALLE DE INDICADORES DE VULNERABILIDAD DE LAS PLAYAS DE ANDALUCIA COMO RECURSO TURISTICO. ANTE LOS PROCESOS EROSIVOS./ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Egea-Cobrero, V.; Rodriguez-Galiano, V.; Sánchez-Rodríguez, E.; García-Pérez, M. (2018). Estimación de la cosecha de trigo en Andalucía usando series temporales de MERIS Terrestrial Chlorophyll Index (MTCI). Revista de Teledetección. (51):99-112. https://doi.org/10.4995/raet.2018.8891 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/raet.2018.8891 es_ES
dc.description.upvformatpinicio 99 es_ES
dc.description.upvformatpfin 112 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.issue 51
dc.identifier.eissn 1988-8740
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Junta de Andalucía es_ES
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