| Campo DC | Valor | Idioma |
|---|
| dc.contributor.author | Olivetti, Diogo | - |
| dc.contributor.author | Roig, Henrique Llacer | - |
| dc.contributor.author | Martinez, Jean-Michel | - |
| dc.contributor.author | Borges, Henrique Dantas | - |
| dc.contributor.author | Ferreira, Alexandre | - |
| dc.contributor.author | Casari, Raphael Augusto das Chagas Noqueli | - |
| dc.contributor.author | Salles, Leandro de Almedia | - |
| dc.contributor.author | Malta, Édio Albertin | - |
| dc.date.accessioned | 2024-10-10T18:17:24Z | - |
| dc.date.available | 2024-10-10T18:17:24Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | OLIVETTI, Diogo et al. Low-cost unmanned aerial multispectral imagery for siltation monitoring in reservoirs. Remote Sensing, [S. l.], v. 12, n. 11, 1855, 2020. DOI: https://doi.org/10.3390/rs12111855. Disponível em: https://www.mdpi.com/2072-4292/12/11/1855. Acesso em: 10 out. 2024. | pt_BR |
| dc.identifier.uri | http://repositorio.unb.br/handle/10482/50549 | - |
| dc.language.iso | eng | pt_BR |
| dc.publisher | MDPI | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | Low-cost unmanned aerial multispectral imagery for siltation monitoring in reservoirs | pt_BR |
| dc.type | Anais | pt_BR |
| dc.subject.keyword | Água - qualidade | pt_BR |
| dc.subject.keyword | Sensoriamento remoto | pt_BR |
| dc.subject.keyword | Veículos aéreos não tripulados | pt_BR |
| dc.subject.keyword | Drones | pt_BR |
| dc.subject.keyword | Drenagem urbana | pt_BR |
| dc.subject.keyword | Reservatórios | pt_BR |
| dc.rights.license | (CC BY) © 2020 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 (http://creativecommons.org/licenses/by/4.0/). | pt_BR |
| dc.identifier.doi | https://doi.org/10.3390/rs12111855 | pt_BR |
| dc.description.abstract1 | The recent and continuous development of unmanned aerial vehicles (UAV) and small
cameras with different spectral resolutions and imaging systems promotes new remote sensing
platforms that can supply ultra-high spatial and temporal resolution, filling the gap between
ground-based surveys and orbital sensors. This work aimed to monitor siltation in two large rural
and urban reservoirs by recording water color variations within a savanna biome in the central region
of Brazil using a low cost and very light unmanned platform. Airborne surveys were conducted using
a Parrot Sequoia camera (~0.15 kg) onboard a DJI Phantom 4 UAV (~1.4 kg) during dry and rainy
seasons over inlet areas of both reservoirs. Field measurements of total suspended solids (TSS) and
water clarity were made jointly with the airborne survey campaigns. Field hyperspectral radiometry
data were also collected during two field surveys. Bio-optical models for TSS were tested for all
spectral bands of the Sequoia camera. The near-infrared single band was found to perform the best
(R
2
: 0.94; RMSE: 7.8 mg L−1
) for a 0–180 mg L−1 TSS range and was used to produce time series of
TSS concentration maps of the study areas. This flexible platform enabled monitoring of the increase
of TSS concentration at a ~13 cm spatial resolution in urban and rural drainages in the rainy season.
Aerial surveys allowed us to map TSS load fluctuations in a 1 week period during which no satellite
images were available due to continuous cloud coverage in the rainy season. This work demonstrates
that a low-cost configuration allows dense TSS monitoring at the inlet areas of reservoirs and thus
enables mapping of the sources of sediment inputs, supporting the definition of mitigation plans to
limit the siltation process. | pt_BR |
| dc.identifier.orcid | https://orcid.org/0000-0003-3281-8512 | 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 | Université Toulouse 3, Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), UMR5563, Géosciences Environment Toulouse (GET) | 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.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.contributor.affiliation | University of Brasília, Institute of Geosciences | pt_BR |
| dc.description.unidade | Instituto de Geociências (IG) | pt_BR |
| dc.description.ppg | Programa de Pós-Graduação em Geociências Aplicadas e Geodinâmica | pt_BR |
| Aparece nas coleções: | Artigos publicados em periódicos e afins
|
