Spatial and temporal evolution of olive cultivation due to pest attack, using remote sensing and satellite image processing
Descripción del Articulo
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...
| Autores: | , |
|---|---|
| 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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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 |
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UNITRU |
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UNITRU |
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Revistas - Universidad Nacional de Trujillo |
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Revistas - Universidad Nacional de Trujillo |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).