Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina

Autores
de la Casa, Antonio Carlos; Ovando, Gustavo; Ravelo, Andres Carlos; Abril, Ernesto Guillermo; Bergamaschi, H.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Ground cover by foliage is a biophysical property of vegetation linked both to the interception of photosynthetically active radiation and to the crop transpiration rate. The spectral information provided by the Moderate Resolution Imaging Spectroradiometer on board the Aqua (Aqua-MODIS) satellite, which has a spatial resolution of 250 m, is an observation and monitoring resource that may be appropriate for estimating the ground cover of maize when plots exceed 40 ha. In this research, 10 maize plots were monitored in the central region of the province of Córdoba, Argentina, during the 2005–2006 growing season, obtaining photographic records of ground cover and soil moisture data. The normalized difference vegetation index (NDVI) of the Aqua-MODIS images showed a significant linear relationship with maize ground cover which, when the complete cycle is taken into account, is sufficient to explain 87% of the variability of ground cover, with an RMSE of 9%, a level of accuracy that increases when the crop is in the vegetative stage and the moisture conditions of the soil are less limiting. Other vegetation indices and linear mixed models were assessed. In addition to using data from the red and near-infrared channels, they incorporate information about soil conditions, but they showed no predictive advantages compared to the NDVI, resulting in simple models that explained between 77% and 87% of the variability of ground cover, with RMSE values of between 9% and 14%.
Fil: de la Casa, Antonio Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Ovando, Gustavo. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ravelo, Andres Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Abril, Ernesto Guillermo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bergamaschi, H.. Universidade Federal do Rio Grande do Sul; Brasil
Materia
Suelo
Cordoba
Modis
Maize
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/34414
Acceder
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spelling Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentinade la Casa, Antonio CarlosOvando, GustavoRavelo, Andres CarlosAbril, Ernesto GuillermoBergamaschi, H.SueloCordobaModisMaizehttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Ground cover by foliage is a biophysical property of vegetation linked both to the interception of photosynthetically active radiation and to the crop transpiration rate. The spectral information provided by the Moderate Resolution Imaging Spectroradiometer on board the Aqua (Aqua-MODIS) satellite, which has a spatial resolution of 250 m, is an observation and monitoring resource that may be appropriate for estimating the ground cover of maize when plots exceed 40 ha. In this research, 10 maize plots were monitored in the central region of the province of Córdoba, Argentina, during the 2005–2006 growing season, obtaining photographic records of ground cover and soil moisture data. The normalized difference vegetation index (NDVI) of the Aqua-MODIS images showed a significant linear relationship with maize ground cover which, when the complete cycle is taken into account, is sufficient to explain 87% of the variability of ground cover, with an RMSE of 9%, a level of accuracy that increases when the crop is in the vegetative stage and the moisture conditions of the soil are less limiting. Other vegetation indices and linear mixed models were assessed. In addition to using data from the red and near-infrared channels, they incorporate information about soil conditions, but they showed no predictive advantages compared to the NDVI, resulting in simple models that explained between 77% and 87% of the variability of ground cover, with RMSE values of between 9% and 14%.Fil: de la Casa, Antonio Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Ovando, Gustavo. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ravelo, Andres Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Abril, Ernesto Guillermo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bergamaschi, H.. Universidade Federal do Rio Grande do Sul; BrasilTaylor & Francis2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/34414de la Casa, Antonio Carlos; Ovando, Gustavo; Ravelo, Andres Carlos; Abril, Ernesto Guillermo; Bergamaschi, H.; Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina; Taylor & Francis; International Journal of Remote Sensing; 35; 4; 2-2014; 1295-13080143-1161CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2013.876119info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/01431161.2013.876119info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:58:10Zoai:ri.conicet.gov.ar:11336/34414instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:58:10.639CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
title Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
spellingShingle Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
de la Casa, Antonio Carlos
Suelo
Cordoba
Modis
Maize
title_short Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
title_full Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
title_fullStr Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
title_full_unstemmed Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
title_sort Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina
dc.creator.none.fl_str_mv de la Casa, Antonio Carlos
Ovando, Gustavo
Ravelo, Andres Carlos
Abril, Ernesto Guillermo
Bergamaschi, H.
author de la Casa, Antonio Carlos
author_facet de la Casa, Antonio Carlos
Ovando, Gustavo
Ravelo, Andres Carlos
Abril, Ernesto Guillermo
Bergamaschi, H.
author_role author
author2 Ovando, Gustavo
Ravelo, Andres Carlos
Abril, Ernesto Guillermo
Bergamaschi, H.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Suelo
Cordoba
Modis
Maize
topic Suelo
Cordoba
Modis
Maize
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Ground cover by foliage is a biophysical property of vegetation linked both to the interception of photosynthetically active radiation and to the crop transpiration rate. The spectral information provided by the Moderate Resolution Imaging Spectroradiometer on board the Aqua (Aqua-MODIS) satellite, which has a spatial resolution of 250 m, is an observation and monitoring resource that may be appropriate for estimating the ground cover of maize when plots exceed 40 ha. In this research, 10 maize plots were monitored in the central region of the province of Córdoba, Argentina, during the 2005–2006 growing season, obtaining photographic records of ground cover and soil moisture data. The normalized difference vegetation index (NDVI) of the Aqua-MODIS images showed a significant linear relationship with maize ground cover which, when the complete cycle is taken into account, is sufficient to explain 87% of the variability of ground cover, with an RMSE of 9%, a level of accuracy that increases when the crop is in the vegetative stage and the moisture conditions of the soil are less limiting. Other vegetation indices and linear mixed models were assessed. In addition to using data from the red and near-infrared channels, they incorporate information about soil conditions, but they showed no predictive advantages compared to the NDVI, resulting in simple models that explained between 77% and 87% of the variability of ground cover, with RMSE values of between 9% and 14%.
Fil: de la Casa, Antonio Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Ovando, Gustavo. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ravelo, Andres Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Abril, Ernesto Guillermo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bergamaschi, H.. Universidade Federal do Rio Grande do Sul; Brasil
description Ground cover by foliage is a biophysical property of vegetation linked both to the interception of photosynthetically active radiation and to the crop transpiration rate. The spectral information provided by the Moderate Resolution Imaging Spectroradiometer on board the Aqua (Aqua-MODIS) satellite, which has a spatial resolution of 250 m, is an observation and monitoring resource that may be appropriate for estimating the ground cover of maize when plots exceed 40 ha. In this research, 10 maize plots were monitored in the central region of the province of Córdoba, Argentina, during the 2005–2006 growing season, obtaining photographic records of ground cover and soil moisture data. The normalized difference vegetation index (NDVI) of the Aqua-MODIS images showed a significant linear relationship with maize ground cover which, when the complete cycle is taken into account, is sufficient to explain 87% of the variability of ground cover, with an RMSE of 9%, a level of accuracy that increases when the crop is in the vegetative stage and the moisture conditions of the soil are less limiting. Other vegetation indices and linear mixed models were assessed. In addition to using data from the red and near-infrared channels, they incorporate information about soil conditions, but they showed no predictive advantages compared to the NDVI, resulting in simple models that explained between 77% and 87% of the variability of ground cover, with RMSE values of between 9% and 14%.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/34414
de la Casa, Antonio Carlos; Ovando, Gustavo; Ravelo, Andres Carlos; Abril, Ernesto Guillermo; Bergamaschi, H.; Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina; Taylor & Francis; International Journal of Remote Sensing; 35; 4; 2-2014; 1295-1308
0143-1161
CONICET Digital
CONICET
url http://hdl.handle.net/11336/34414
identifier_str_mv de la Casa, Antonio Carlos; Ovando, Gustavo; Ravelo, Andres Carlos; Abril, Ernesto Guillermo; Bergamaschi, H.; Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina; Taylor & Francis; International Journal of Remote Sensing; 35; 4; 2-2014; 1295-1308
0143-1161
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2013.876119
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/01431161.2013.876119
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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