| Campo DC | Valor | Idioma |
|---|
| dc.contributor.author | Olivetti, Diogo | - |
| dc.contributor.author | Cicerelli, Rejane Ennes | - |
| dc.contributor.author | Martinez, Jean-Michel | - |
| dc.contributor.author | Almeida, Tati de | - |
| dc.contributor.author | Casari, Raphael Augusto das Chagas Noqueli | - |
| dc.contributor.author | Borges, Henrique Dantas | - |
| dc.contributor.author | Roig, Henrique Llacer | - |
| dc.date.accessioned | 2023-11-28T14:00:29Z | - |
| dc.date.available | 2023-11-28T14:00:29Z | - |
| dc.date.issued | 2023-06-21 | - |
| dc.identifier.citation | OLIVETTI, Diogo et al. Comparing unmanned aerial multispectral and hyperspectral imagery for harmful algal bloom monitoring in artificial ponds used for fish farming. Drones, [S. l.], v. 7, n. 7, 410. DOU: https://doi.org/10.3390/drones7070410. Disponível em: https://www.mdpi.com/2504-446X/7/7/410. | pt_BR |
| dc.identifier.uri | http://repositorio2.unb.br/jspui/handle/10482/46917 | - |
| dc.language.iso | eng | pt_BR |
| dc.publisher | MDPI | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | Comparing unmanned aerial multispectral and hyperspectral imagery for harmful algal bloom monitoring in artificial ponds used for fish farming | pt_BR |
| dc.type | Artigo | pt_BR |
| dc.subject.keyword | Água | pt_BR |
| dc.subject.keyword | Sensoriamento remoto | pt_BR |
| dc.subject.keyword | Aeronaves remotamente pilotadas | pt_BR |
| dc.subject.keyword | Drones | pt_BR |
| dc.subject.keyword | Clorofila-a | pt_BR |
| dc.subject.keyword | Cianobactéria | pt_BR |
| dc.rights.license | Copyright: © 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/drones7070410 | pt_BR |
| dc.description.abstract1 | This work aimed to assess the potential of unmanned aerial vehicle (UAV) multi- and hyper-spectral platforms to estimate chlorophyll-a (Chl-a) and cyanobacteria in experimental fishponds in Brazil. In addition to spectral resolutions, the tested platforms differ in the price, payload, imaging system, and processing. Hyperspectral airborne surveys were conducted using a push-broom system 276-band Headwall Nano-Hyperspec camera onboard a DJI Matrice 600 UAV. Multispectral airborne surveys were conducted using a global shutter-frame 4-band Parrot Sequoia camera onboard a DJI Phantom 4 UAV. Water quality field measurements were acquired using a portable fluorometer and laboratory analysis. The concentration ranged from 14.3 to 290.7 µg/L and from 0 to 112.5 µg/L for Chl-a and cyanobacteria, respectively. Forty-one Chl-a and cyanobacteria bio-optical retrieval models were tested. The UAV hyperspectral image achieved robust Chl-a and cyanobacteria assessments, with RMSE values of 32.8 and 12.1 µg/L, respectively. Multispectral images achieved Chl-a and cyanobacteria retrieval with RMSE values of 47.6 and 35.1 µg/L, respectively, efficiently mapping the broad Chl-a concentration classes. Hyperspectral platforms are ideal for the robust monitoring of Chl-a and CyanoHABs; however, the integrated platform has a high cost. More accessible multispectral platforms may represent a trade-off between the mapping efficiency and the deployment costs, provided that the multispectral cameras offer narrow spectral bands in the 660–690 nm and 700–730 nm ranges for Chl-a and in the 600–625 nm and 700–730 nm spectral ranges for cyanobacteria. | pt_BR |
| dc.identifier.orcid | https://orcid.org/0000-0002-8199-5163 | - |
| dc.identifier.orcid | https://orcid.org/0000-0003-3281-8512 | - |
| dc.contributor.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.contributor.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.contributor.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.contributor.affiliation | Centre National de la Recherche Scientifique (CNRS), Géosciences Environnement Toulouse (GET), UMR5563, Institut de Recherche pour le Développement (IRD), Université Toulouse 3, | pt_BR |
| dc.contributor.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.contributor.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.contributor.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.contributor.orcid | https://orcid.org/0000-0002-0729-5767 | - |
| dc.description.unidade | Instituto de Geociências (IG) | pt_BR |
| Aparece nas coleções: | Artigos publicados em periódicos e afins
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