Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155389
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dc.contributor.authorQUEIROZ, R. F. P.
dc.contributor.authorOLIVEIRA, M. V. N. d'
dc.contributor.authorREZENDE, A. V.
dc.contributor.authorALENCAR, P. A. L. de
dc.date.accessioned2023-07-28T13:23:54Z-
dc.date.available2023-07-28T13:23:54Z-
dc.date.created2023-07-28
dc.date.issued2023
dc.identifier.citationDrones, v. 7, n. 8, 493, July 2023.
dc.identifier.issn2504-446Xeng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1155389-
dc.descriptionThe use of photogrammetry technology for aboveground biomass (AGB) stock estimation in tropical savannas is a challenging task and is still at a preliminary stage. This work aimed to use metrics derived from point clouds, constructed using photogrammetric imaging obtained by an RGB camera on board a remotely piloted aircraft (RPA), to generate a model for estimating AGB stock for the shrubby-woody stratum in savanna areas of Central Brazil (Cerrado). AGB stock was estimated using forest inventory data and an allometric equation. The photogrammetric digital terrain model (DTM) was validated with altimetric field data, demonstrating that the passive sensor can identify topographic variations in sites with discontinuous canopies. The inventory estimated an average AGB of 18.3 (±13.3) Mg ha-1 at the three sampled sites. The AGB model selected was composed of metrics used for height at the 10th and 95th percentile, with an adjusted R2 of 93% and a relative root mean squared error (RMSE) of 16%. AGB distribution maps were generated from the spatialization of the metrics selected for the model, optimizing the visualization and our understanding of the spatial distribution of forest AGB. The study represents a step forward in mapping biomass and carbon stocks in tropical savannas using low-cost remote sensing platforms.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectDrone
dc.subjectSabanaseng
dc.subjectÁrboles forestaleseng
dc.subjectBiomasa aéreaeng
dc.subjectEstimacióneng
dc.subjectTeledeteccióneng
dc.subjectAerial photogrammetryeng
dc.subjectVehículos aéreos no tripuladoseng
dc.subjectDistrito Federal (DF)eng
dc.titleEstimation of aboveground biomass stock in tropical savannas using photogrammetric imaging.
dc.typeArtigo de periódico
dc.subject.thesagroÁrvore Florestaleng
dc.subject.thesagroCerradoeng
dc.subject.thesagroBiomassaeng
dc.subject.thesagroParte Aéreaeng
dc.subject.thesagroEstimativaeng
dc.subject.thesagroSensoriamento Remotoeng
dc.subject.thesagroAerofotogrametriaeng
dc.subject.nalthesaurusForest treeseng
dc.subject.nalthesaurusSavannaseng
dc.subject.nalthesaurusAboveground biomasseng
dc.subject.nalthesaurusEstimationeng
dc.subject.nalthesaurusRemote sensingeng
dc.subject.nalthesaurusUnmanned aerial vehicleseng
riaa.ainfo.id1155389
riaa.ainfo.lastupdate2023-07-28
dc.identifier.doihttps://doi.org/10.3390/drones7080493
dc.contributor.institutionROBERTA FRANCO PEREIRA DE QUEIROZ, UNIVERSIDADE DE BRASILIA; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; ALBA VALÉRIA REZENDE, UNIVERSIDADE DE BRASILIA; PAOLA AIRES LÓCIO DE ALENCAR, UNIVERSIDADE DE BRASILIA.
Appears in Collections:Artigo em periódico indexado (CPAF-AC)

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