Estimation of aboveground biomass stock in tropical savannas using photogrammetric imaging.

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dc.contributorROBERTA 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.
dc.creatorQUEIROZ, R. F. P.
dc.creatorOLIVEIRA, M. V. N. d'
dc.creatorREZENDE, A. V.
dc.creatorALENCAR, P. A. L. de
dc.date2023-07-28T13:23:54Z
dc.date2023-07-28T13:23:54Z
dc.date2023-07-28
dc.date2023
dc.date.accessioned2026-06-30T22:53:29Z
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.identifierDrones, v. 7, n. 8, 493, July 2023.
dc.identifier2504-446X
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1155389
dc.identifierhttps://doi.org/10.3390/drones7080493
dc.identifier.urihttp://hdl.handle.net/123456789/370381
dc.languageeng
dc.rightsopenAccess
dc.subjectDrone
dc.subjectAerial photogrammetry
dc.subjectVehículos aéreos no tripulados
dc.subjectDistrito Federal (DF)
dc.subjectÁrboles forestales
dc.subjectSabanas
dc.subjectBiomasa aérea
dc.subjectEstimación
dc.subjectTeledetección
dc.subjectCerrado
dc.subjectÁrvore Florestal
dc.subjectBiomassa
dc.subjectParte Aérea
dc.subjectEstimativa
dc.subjectSensoriamento Remoto
dc.subjectAerofotogrametria
dc.subjectUnmanned aerial vehicles
dc.subjectAboveground biomass
dc.subjectForest trees
dc.subjectSavannas
dc.subjectRemote sensing
dc.subjectEstimation
dc.titleEstimation of aboveground biomass stock in tropical savannas using photogrammetric imaging.
dc.typeArtigo de periódico

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