Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

This article describes the technical specifications and configuration of a multirotor unmanned aerial vehicle (UAV) to acquire remote images using a six-band multispectral sensor. Several flight missions were programmed as follows: three flight altitudes (60, 80 and 100 m), two flight modes (stop an...

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Autores: Mesas-Carrascosa, Francisco Javier, Torres-Sánchez, Jorge, Clavero-Rumbao, Inmaculada, García-Ferrer, Alfonso, Peña Barragán, José Manuel, Borra-Serrano, Irene, López Granados, Francisca
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/137256
Acceso en línea:http://hdl.handle.net/10261/137256
Access Level:acceso abierto
Palabra clave:Drone
Multispectral sensor
Spatial resolution
Spectral discrimination
Flight parameter
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spelling Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop ManagementMesas-Carrascosa, Francisco JavierTorres-Sánchez, JorgeClavero-Rumbao, InmaculadaGarcía-Ferrer, AlfonsoPeña Barragán, José ManuelBorra-Serrano, IreneLópez Granados, FranciscaDroneMultispectral sensorSpatial resolutionSpectral discriminationFlight parameterThis article describes the technical specifications and configuration of a multirotor unmanned aerial vehicle (UAV) to acquire remote images using a six-band multispectral sensor. Several flight missions were programmed as follows: three flight altitudes (60, 80 and 100 m), two flight modes (stop and cruising modes) and two ground control point (GCP) settings were considered to analyze the influence of these parameters on the spatial resolution and spectral discrimination of multispectral orthomosaicked images obtained using Pix4Dmapper. Moreover, it is also necessary to consider the area to be covered or the flight duration according to any flight mission programmed. The effect of the combination of all these parameters on the spatial resolution and spectral discrimination of the orthomosaicks is presented. Spectral discrimination has been evaluated for a specific agronomical purpose: to use the UAV remote images for the detection of bare soil and vegetation (crop and weeds) for in-season site-specific weed management. These results show that a balance between spatial resolution and spectral discrimination is needed to optimize the mission planning and image processing to achieve every agronomic objective. In this way, users do not have to sacrifice flying at low altitudes to cover the whole area of interest completely.This research was partially financed by the RECUPERA-2020 (an agreement between CSIC and Spanish MINECO, EU-FEDER funds) and AGL2014-52465-C4-4-R Projects (MINECO, EU-FEDER funds). Research of Torres-Sánchez and Peña were financed by FPI and Ramon y Cajal Programs, respectively (Spanish Ministry of Economy and Competitiveness). We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI).Peer reviewedMultidisciplinary Digital Publishing InstituteConsejo Superior de Investigaciones Científicas (España)Ministerio de Economía y Competitividad (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201620162015info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/137256reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2014-52465-C4-4-Rhttp://dx.doi.org/10.3390/rs71012793Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1372562026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
title Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
spellingShingle Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
Mesas-Carrascosa, Francisco Javier
Drone
Multispectral sensor
Spatial resolution
Spectral discrimination
Flight parameter
title_short Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
title_full Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
title_fullStr Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
title_full_unstemmed Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
title_sort Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
dc.creator.none.fl_str_mv Mesas-Carrascosa, Francisco Javier
Torres-Sánchez, Jorge
Clavero-Rumbao, Inmaculada
García-Ferrer, Alfonso
Peña Barragán, José Manuel
Borra-Serrano, Irene
López Granados, Francisca
author Mesas-Carrascosa, Francisco Javier
author_facet Mesas-Carrascosa, Francisco Javier
Torres-Sánchez, Jorge
Clavero-Rumbao, Inmaculada
García-Ferrer, Alfonso
Peña Barragán, José Manuel
Borra-Serrano, Irene
López Granados, Francisca
author_role author
author2 Torres-Sánchez, Jorge
Clavero-Rumbao, Inmaculada
García-Ferrer, Alfonso
Peña Barragán, José Manuel
Borra-Serrano, Irene
López Granados, Francisca
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas (España)
Ministerio de Economía y Competitividad (España)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Drone
Multispectral sensor
Spatial resolution
Spectral discrimination
Flight parameter
topic Drone
Multispectral sensor
Spatial resolution
Spectral discrimination
Flight parameter
description This article describes the technical specifications and configuration of a multirotor unmanned aerial vehicle (UAV) to acquire remote images using a six-band multispectral sensor. Several flight missions were programmed as follows: three flight altitudes (60, 80 and 100 m), two flight modes (stop and cruising modes) and two ground control point (GCP) settings were considered to analyze the influence of these parameters on the spatial resolution and spectral discrimination of multispectral orthomosaicked images obtained using Pix4Dmapper. Moreover, it is also necessary to consider the area to be covered or the flight duration according to any flight mission programmed. The effect of the combination of all these parameters on the spatial resolution and spectral discrimination of the orthomosaicks is presented. Spectral discrimination has been evaluated for a specific agronomical purpose: to use the UAV remote images for the detection of bare soil and vegetation (crop and weeds) for in-season site-specific weed management. These results show that a balance between spatial resolution and spectral discrimination is needed to optimize the mission planning and image processing to achieve every agronomic objective. In this way, users do not have to sacrifice flying at low altitudes to cover the whole area of interest completely.
publishDate 2015
dc.date.none.fl_str_mv 2015
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/137256
url http://hdl.handle.net/10261/137256
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2014-52465-C4-4-R
http://dx.doi.org/10.3390/rs71012793
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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