Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing

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Climate change, as well as the appearance of pests and diseases, are affecting olive plantations (Olea europaea L.) and the production of olives in the world, therefore, there is an urgent need for tools to help us identify the spatial and temporal evolution of the olive groves, regarding the attack...

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Detalles Bibliográficos
Autores: Pino Vargas, Edwin Martin, Huayna, Germán
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:español
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/4095
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095
Nivel de acceso:acceso abierto
Materia:Olive plague
temporal evolution
remote sensing
spectral signatures
The Yarada
Atacama Desert
Plagas del olivo
evolución temporal
sensores remotos
firmas espectrales
La Yarada
Desierto Atacama
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spelling Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processingEvolución espacial y temporal de cultivo del olivo por efecto del ataque de plagas, utilizando sensoramiento remoto y procesamiento de imágenes satelitalesPino Vargas, Edwin MartinHuayna, Germán Olive plaguetemporal evolutionremote sensingspectral signaturesThe YaradaAtacama DesertPlagas del olivoevolución temporalsensores remotosfirmas espectralesLa YaradaDesierto AtacamaClimate change, as well as the appearance of pests and diseases, are affecting olive plantations (Olea europaea L.) and the production of olives in the world, therefore, there is an urgent need for tools to help us identify the spatial and temporal evolution of the olive groves, regarding the attack of pests, in this case, the Orthezia olivicola and the olive borer Phloeotribus scarabaeoides. In this work, we use information from freely available satellite images that allowed us to carry out spatial and temporal analysis and the combination of vegetation indices. For the studied area, according to the values of the NDVI (Normalized Difference Vegetation Index), it was identified that the surface of diseased plants ranges from 42% to 68%, moderately healthy plants from 2% to 18%, and the state of the plantation considered as very healthy plants with a tendency to zero, which means that practically 100% of the olive trees are affected by some level. The temporal variation of the NDVI, DVI, SAVI, GNDVI, EVI2, and MSAVI indices, allowed us to establish the states of affectation as mild, moderate pest attack, the severity of the pest attack added to the water deficit, and very strong pest attack and state of permanent wilting.El cambio climático, así como la aparición de plagas y enfermedades, están afectando las plantaciones de olivos (Olea europaea L.) y la producción de aceitunas en el mundo, por lo tanto, urge la necesidad de contar con herramientas que nos ayuden a identificar la evolución espacial y temporal de los olivares, respecto al ataque de plagas, como la Orthezia olivicola y el barrenillo del olivo Phloeotribus scarabaeoides. En este trabajo utilizamos información de imágenes satelitales de libre disposición que permitieron realizar el análisis espacial y temporal y la combinación de índices de vegetación. Para la zona de estudio, según los valores del NDVI (Normalized Difference Vegetation Index) se identificó que la superficie de plantas enfermas va de 42% a 68%, plantas moderadamente sanas de 2% a 18%, y el estado de la plantación considerado como plantas muy sanas con tendencia a 0%, lo que significa que prácticamente el 100% de los olivos se encuentran con algún nivel de afectación. La variación temporal de los índices NDVI, DVI, SAVI, GNDVI, EVI2 y MSAVI, permitieron establecer los estados de afectación como leve, ataque de plagas moderado, severidad del ataque de las plagas sumado al déficit hídrico y ataque de plagas muy fuerte asociado al punto de marchitez permanente.Universidad Nacional de Trujillo2022-06-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdftext/htmlhttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095Scientia Agropecuaria; Vol. 13 Núm. 2 (2022): Abril - Junio; 149-157Scientia Agropecuaria; Vol. 13 No. 2 (2022): Abril - Junio; 149-1572306-67412077-9917reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUspahttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095/4865https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095/4866https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095/6805Derechos de autor 2022 Scientia Agropecuariahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/40952022-05-18T08:07:19Z
dc.title.none.fl_str_mv Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
Evolución espacial y temporal de cultivo del olivo por efecto del ataque de plagas, utilizando sensoramiento remoto y procesamiento de imágenes satelitales
title Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
spellingShingle Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
Pino Vargas, Edwin Martin
Olive plague
temporal evolution
remote sensing
spectral signatures
The Yarada
Atacama Desert
Plagas del olivo
evolución temporal
sensores remotos
firmas espectrales
La Yarada
Desierto Atacama
title_short Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
title_full Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
title_fullStr Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
title_full_unstemmed Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
title_sort Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
dc.creator.none.fl_str_mv Pino Vargas, Edwin Martin
Huayna, Germán
author Pino Vargas, Edwin Martin
author_facet Pino Vargas, Edwin Martin
Huayna, Germán
author_role author
author2 Huayna, Germán
author2_role author
dc.subject.none.fl_str_mv Olive plague
temporal evolution
remote sensing
spectral signatures
The Yarada
Atacama Desert
Plagas del olivo
evolución temporal
sensores remotos
firmas espectrales
La Yarada
Desierto Atacama
topic Olive plague
temporal evolution
remote sensing
spectral signatures
The Yarada
Atacama Desert
Plagas del olivo
evolución temporal
sensores remotos
firmas espectrales
La Yarada
Desierto Atacama
description Climate change, as well as the appearance of pests and diseases, are affecting olive plantations (Olea europaea L.) and the production of olives in the world, therefore, there is an urgent need for tools to help us identify the spatial and temporal evolution of the olive groves, regarding the attack of pests, in this case, the Orthezia olivicola and the olive borer Phloeotribus scarabaeoides. In this work, we use information from freely available satellite images that allowed us to carry out spatial and temporal analysis and the combination of vegetation indices. For the studied area, according to the values of the NDVI (Normalized Difference Vegetation Index), it was identified that the surface of diseased plants ranges from 42% to 68%, moderately healthy plants from 2% to 18%, and the state of the plantation considered as very healthy plants with a tendency to zero, which means that practically 100% of the olive trees are affected by some level. The temporal variation of the NDVI, DVI, SAVI, GNDVI, EVI2, and MSAVI indices, allowed us to establish the states of affectation as mild, moderate pest attack, the severity of the pest attack added to the water deficit, and very strong pest attack and state of permanent wilting.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095
url https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095/4865
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095/4866
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4095/6805
dc.rights.none.fl_str_mv Derechos de autor 2022 Scientia Agropecuaria
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2022 Scientia Agropecuaria
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
text/html
dc.publisher.none.fl_str_mv Universidad Nacional de Trujillo
publisher.none.fl_str_mv Universidad Nacional de Trujillo
dc.source.none.fl_str_mv Scientia Agropecuaria; Vol. 13 Núm. 2 (2022): Abril - Junio; 149-157
Scientia Agropecuaria; Vol. 13 No. 2 (2022): Abril - Junio; 149-157
2306-6741
2077-9917
reponame:Revistas - Universidad Nacional de Trujillo
instname:Universidad Nacional de Trujillo
instacron:UNITRU
instname_str Universidad Nacional de Trujillo
instacron_str UNITRU
institution UNITRU
reponame_str Revistas - Universidad Nacional de Trujillo
collection Revistas - Universidad Nacional de Trujillo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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