Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones
Descripción del Articulo
Remote sensing and geographic information systems are tools that in the last decade have been widely used in the management of natural resources, however, they have presented deficiencies for precision livestock studies due to the quality of spatial resolutions, spectral and temporal. Faced with thi...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Universidad Nacional de Trujillo |
Repositorio: | Revistas - Universidad Nacional de Trujillo |
Lenguaje: | español |
OAI Identifier: | oai:ojs.revistas.unitru.edu.pe:article/3677 |
Enlace del recurso: | https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3677 |
Nivel de acceso: | acceso abierto |
Materia: | Comunidad vegetal Sensores remotos Tolar Bofedal UAS UAV Plant community Remote sensors |
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dc.title.none.fl_str_mv |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones Detección e identificación de comunidades vegetales altoandinas, Bofedal y Tolar de Puna Seca mediante ortofotografías RGB y NDVI en drones “Sistemas Aéreos no Tripulados” |
title |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones |
spellingShingle |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones Estrada Zúñiga, Andrés C. Comunidad vegetal Sensores remotos Tolar Bofedal UAS UAV Plant community Remote sensors Tolar Bofedal UAS UAV |
title_short |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones |
title_full |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones |
title_fullStr |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones |
title_full_unstemmed |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones |
title_sort |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” drones |
dc.creator.none.fl_str_mv |
Estrada Zúñiga, Andrés C. Ñaupari Vásquez, Javier |
author |
Estrada Zúñiga, Andrés C. |
author_facet |
Estrada Zúñiga, Andrés C. Ñaupari Vásquez, Javier |
author_role |
author |
author2 |
Ñaupari Vásquez, Javier |
author2_role |
author |
dc.subject.none.fl_str_mv |
Comunidad vegetal Sensores remotos Tolar Bofedal UAS UAV Plant community Remote sensors Tolar Bofedal UAS UAV |
topic |
Comunidad vegetal Sensores remotos Tolar Bofedal UAS UAV Plant community Remote sensors Tolar Bofedal UAS UAV |
description |
Remote sensing and geographic information systems are tools that in the last decade have been widely used in the management of natural resources, however, they have presented deficiencies for precision livestock studies due to the quality of spatial resolutions, spectral and temporal. Faced with this limitation, microsensors appear as an alternative in Unmanned Aerial Systems (UAS) that allow obtaining orthophotographs with better resolutions. Considering these advantages, a study was developed to determine the best flight height in the detection and identification of the tolar and bofedal plant communities of the dry puna. For the study, RGB and NDVI photographs were collected with ZENMUSE X3 DJI RGB-NDVI sensors in UAS with flight heights of 25, 50, 75 and 100 m. In the field, tola plants and DIMU cushions were counted in quadrants of 10 m x 10 m (100 m2). The preparation of orthophotographs was carried out in the Pix 4D software and to analyze the information an algorithm was developed with the ability to identify a segmented element (tola Plant and / or DIMU cushion) using Python. The study found that the NDVI range for the identification of tolares of Parastrephia lepidophilla is from 0.20 to 0.45 and for Distichia muscoides bogs is from 0.68 to 0.95; finally, using RGB and NDVI orthophotographs, it was determined that the best flight height to identify the Tola and DIMU segmented species is 25 m followed by 50 m. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-20 |
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/3677 |
url |
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3677 |
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/3677/6811 https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3677/4341 |
dc.rights.none.fl_str_mv |
Derechos de autor 2021 Andrés C. Estrada Zúñiga, Javier Ñaupari Vásquez https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2021 Andrés C. Estrada Zúñiga, Javier Ñaupari Vásquez https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf |
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. 12 Núm. 3 (2021): Julio - Septiembre; 291-301 Scientia Agropecuaria; Vol. 12 No. 3 (2021): Julio - Septiembre; 291-301 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 |
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1845253380028497920 |
spelling |
Detection and identification of high Andean plant communities, Wetlands and Tolar de Puna Seca by means of RGB and NDVI orthophotos in “Unmanned Aerial Systems” dronesDetección e identificación de comunidades vegetales altoandinas, Bofedal y Tolar de Puna Seca mediante ortofotografías RGB y NDVI en drones “Sistemas Aéreos no Tripulados”Estrada Zúñiga, Andrés C. Ñaupari Vásquez, Javier Comunidad vegetalSensores remotosTolarBofedalUASUAVPlant communityRemote sensorsTolarBofedalUASUAVRemote sensing and geographic information systems are tools that in the last decade have been widely used in the management of natural resources, however, they have presented deficiencies for precision livestock studies due to the quality of spatial resolutions, spectral and temporal. Faced with this limitation, microsensors appear as an alternative in Unmanned Aerial Systems (UAS) that allow obtaining orthophotographs with better resolutions. Considering these advantages, a study was developed to determine the best flight height in the detection and identification of the tolar and bofedal plant communities of the dry puna. For the study, RGB and NDVI photographs were collected with ZENMUSE X3 DJI RGB-NDVI sensors in UAS with flight heights of 25, 50, 75 and 100 m. In the field, tola plants and DIMU cushions were counted in quadrants of 10 m x 10 m (100 m2). The preparation of orthophotographs was carried out in the Pix 4D software and to analyze the information an algorithm was developed with the ability to identify a segmented element (tola Plant and / or DIMU cushion) using Python. The study found that the NDVI range for the identification of tolares of Parastrephia lepidophilla is from 0.20 to 0.45 and for Distichia muscoides bogs is from 0.68 to 0.95; finally, using RGB and NDVI orthophotographs, it was determined that the best flight height to identify the Tola and DIMU segmented species is 25 m followed by 50 m.La teledetección y los sistemas de información geográfica son herramientas que en la última década se utilizan con énfasis en la gestión de recursos naturales; sin embargo, éstas han presentado deficiencias para estudios de ganadería de precisión debido a la calidad de las resoluciones espacial, espectral y temporal de las imágenes, frente a esta limitación aparece como alternativa los microsensores en sistemas aéreos no tripulados (UAS) que permiten obtener ortofotografías con mejores resoluciones. Considerando estas ventajas se desarrolló un estudio para determinar la mejor altura de vuelo de las UAV en la detección e identificación de las comunidades vegetales tolar y bofedal de puna seca. Para el estudio se recopilaron fotografías RGB y NDVI con sensores ZENMUSE X3 DJI RGB-NDVI en UAS con alturas de vuelo de 25, 50, 75 y 100 m. En el campo se contabilizaron plantas de tola y cojines de DIMU en cuadrantes de 10 m x 10 m (100 m2). La preparación de ortofotografías se realizó en el software Pix 4D y para analizar la información se elaboró un algoritmo con capacidad de identificar un elemento segmentado (planta de tola y/o cojín de DIMU) utilizando el lenguaje de programación Python. El estudio determinó que el rango de NDVI para la identificación de tolares de Parastrephia lepidophilla es de 0,20 a 0,45 y para bofedales de Distichia muscoides es de 0,68 a 0,95; finalmente usando ortofotografías RGB y NDVI se determinó que la mejor altura de vuelo para identificar las especies segmentadas Tola y DIMU es de 25 m seguido de 50 m.Universidad Nacional de Trujillo2021-07-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3677Scientia Agropecuaria; Vol. 12 Núm. 3 (2021): Julio - Septiembre; 291-301Scientia Agropecuaria; Vol. 12 No. 3 (2021): Julio - Septiembre; 291-3012306-67412077-9917reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUspahttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3677/6811https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3677/4341Derechos de autor 2021 Andrés C. Estrada Zúñiga, Javier Ñaupari Vásquezhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/36772021-07-20T17:10:58Z |
score |
13.243185 |
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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).