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dc.contributor.authorArévalo Verjel, Alba Nely
dc.contributor.authorLerma, José Luis
dc.contributor.authorPrieto, Juan F.
dc.contributor.authorCarbonell-Rivera, Juan Pedro
dc.contributor.authorFernández, José
dc.date.accessioned2024-04-12T15:54:36Z
dc.date.available2024-04-12T15:54:36Z
dc.date.issued2022-06-16
dc.identifier.urihttps://repositorio.ufps.edu.co/handle/ufps/6905
dc.description.abstractUAV-DAP (unmanned aerial vehicle-digital aerial photogrammetry) has become one of the most widely used geomatics techniques in the last decade due to its low cost and capacity to generate high-density point clouds, thus demonstrating its great potential for delivering highprecision products with a spatial resolution of centimetres. The questions is, how should it be applied to obtain the best results? This research explores different flat scenarios to analyse the accuracy of this type of survey based on photogrammetric SfM (structure from motion) technology, flight planning with ground control points (GCPs), and the combination of forward and cross strips, up to the point of processing. The RMSE (root mean square error) is analysed for each scenario to verify the quality of the results. An equation is adjusted to estimate the a priori accuracy of the photogrammetric survey with digital sensors, identifying the best option for µxyz (weight coefficients depending on the layout of both the GCP and the image network) for the four scenarios studied. The UAV flights were made in Lorca (Murcia, Spain). The study area has an extension of 80 ha, which was divided into four blocks. The GCPs and checkpoints (ChPs) were measured using dual-frequency GNSS (global navigation satellite system), with a tripod and centring system on the mark at the indicated point. The photographs were post-processed using the Agisoft Metashape Professional software (64 bits). The flights were made with two multirotor UAVs, a Phantom 3 Professional and an Inspire 2, with a Zenmuse X5S camera. We verify the influence by including additional forward and/or cross strips combined with four GCPs in the corners, plus one additional GCP in the centre, in order to obtain better photogrammetric adjustments based on the preliminary flight planning.eng
dc.format.extent17 Páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherRemote Sensingspa
dc.relation.ispartofRemote Sens. 2022, 14, 2877. https://doi.org/ 10.3390/rs14122877
dc.rightsunder the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).eng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/spa
dc.sourcehttps://www.mdpi.com/2072-4292/14/12/2877spa
dc.titleEstimation of the Block Adjustment Error in UAV Photogrammetric Flights in Flat Areaseng
dc.typeArtículo de revistaspa
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dc.identifier.doihttps://doi.org/10.3390/rs14122877
dc.relation.citationeditionVol.14 No.12 (2022)spa
dc.relation.citationendpage17spa
dc.relation.citationissue12 (2022)spa
dc.relation.citationstartpage1spa
dc.relation.citationvolume14spa
dc.relation.cites: Arévalo-Verjel, A.N.; Lerma, J.L.; Prieto,Carbonell-Rivera, J.P.; Fernández, J. Estimation of the Block Adjustment Error in UAV Photogrammetric Flights in Flat Areas. Remote Sens. 2022, 14, 2877. https://doi.org/ 10.3390/rs14122877
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
dc.subject.proposalUAVeng
dc.subject.proposalUAV-DAPeng
dc.subject.proposalaerial close-range photogrammetryeng
dc.subject.proposalGCPeng
dc.subject.proposalflight planningeng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa


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