| Campo DC | Valor | Idioma |
|---|
| dc.contributor.author | Queiroz, Roberta Franco Pereira de | - |
| dc.contributor.author | Oliveira, Marcus Vinicio Neves d’ | - |
| dc.contributor.author | Rezende, Alba Valéria | - |
| dc.contributor.author | Alencar, Paola Aires Lócio de | - |
| dc.date.accessioned | 2024-07-10T10:42:59Z | - |
| dc.date.available | 2024-07-10T10:42:59Z | - |
| dc.date.issued | 2023-07-27 | - |
| dc.identifier.citation | QUEIROZ, Roberta Franco Pereira de et al. Estimation of aboveground biomass stock in tropical savannas using photogrammetric imaging. Drones, [S. l.], v.7, n. 8, 2023. DOI: https://doi.org/10.3390/drones7080493. | pt_BR |
| dc.identifier.uri | http://repositorio2.unb.br/jspui/handle/10482/48681 | - |
| dc.language.iso | eng | pt_BR |
| dc.publisher | MDPI | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | Estimation of aboveground biomass stock in tropical savannas using photogrammetric imaging | pt_BR |
| dc.type | Artigo | pt_BR |
| dc.subject.keyword | Sensoriamento remoto | pt_BR |
| dc.subject.keyword | Cerrados - vegetação | pt_BR |
| dc.subject.keyword | Mapeamento florestal | pt_BR |
| dc.subject.keyword | Estoque de carbono | pt_BR |
| dc.subject.keyword | Monitoramento ambiental | pt_BR |
| dc.rights.license | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | pt_BR |
| dc.identifier.doi | https://doi.org/10.3390/drones7080493 | pt_BR |
| dc.description.abstract1 | The 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. | pt_BR |
| dc.contributor.affiliation | University of Brasília, Department of Forestry | pt_BR |
| dc.contributor.affiliation | Brazilian Agricultural Research Company (EMBRAPA), Agroforestry Research Center of Acre | pt_BR |
| dc.contributor.affiliation | University of Brasília, Department of Forestry | pt_BR |
| dc.contributor.affiliation | University of Brasília, Department of Forestry | pt_BR |
| dc.description.unidade | Faculdade de Tecnologia (FT) | pt_BR |
| dc.description.unidade | Departamento de Engenharia Florestal (FT EFL) | pt_BR |
| dc.description.ppg | Programa de Pós-Graduação em Ciências Florestais | pt_BR |
| Aparece nas coleções: | Artigos publicados em periódicos e afins
|
