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dc.contributor.authorMesas Carrascosa, Francisco Javier
dc.contributor.authorPérez Porras, Fernando
dc.contributor.authorMeroño de Larriva, José Emilio
dc.contributor.authorMena Frau, Carlos
dc.contributor.authorAgüera Vega, Francisco
dc.contributor.authorCarvajal Ramírez, Fernando
dc.contributor.authorMartínez Carricondo, Patricio Jesús
dc.contributor.authorGarcía Ferrer, Alfonso
dc.date.accessioned2020-01-16T08:00:35Z
dc.date.available2020-01-16T08:00:35Z
dc.date.issued2018-04-17
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10835/7317
dc.description.abstractThe development of lightweight sensors compatible with mini unmanned aerial vehicles (UAVs) has expanded the agronomical applications of remote sensing. Of particular interest in this paper are thermal sensors based on lightweight microbolometer technology. These are mainly used to assess crop water stress with thermal images where an accuracy greater than 1 °C is necessary. However, these sensors lack precise temperature control, resulting in thermal drift during image acquisition that requires correction. Currently, there are several strategies to manage thermal drift effect. However, these strategies reduce useful flight time over crops due to the additional in-flight calibration operations. This study presents a drift correction methodology for microbolometer sensors based on redundant information from multiple overlapping images. An empirical study was performed in an orchard of high-density hedgerow olive trees with flights at different times of the day. Six mathematical drift correction models were developed and assessed to explain and correct drift effect on thermal images. Using the proposed methodology, the resulting thermally corrected orthomosaics yielded a rate of error lower than 1° C compared to those where no drift correction was applied.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectUAVes_ES
dc.subjectuncooled thermal sensores_ES
dc.subjectprecision agriculturees_ES
dc.subjectthermal orthomosaices_ES
dc.titleDrift Correction of Lightweight Microbolometer Thermal Sensors On-Board Unmanned Aerial Vehicleses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/10/4/615es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional