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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/47LCNA5
Repositorysid.inpe.br/mtc-m21d/2022/09.19.14.38
Metadata Repositorysid.inpe.br/mtc-m21d/2022/09.19.14.38.17
Metadata Last Update2023:01.03.16.46.16 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyOliveiraValMedOliKam:2022:FeClOp
TitleFeasibility of classifying optical water types from smartphones cameras
Year2022
Access Date2024, May 19
Secondary TypePRE CI
2. Context
Author1 Oliveira, Andréa de Lima
2 Valério, Aline de Matos
3 Medeiros, Thais Andrade Galvão de
4 Oliveira, Natália Rudorff
5 Kampel, Milton
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JHTG
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 YYY-CGCT-INPE-MCTI-GOV-BR
4 DISSM-CGCT-INPE-MCTI-GOV-BR
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 andrea.liolive@gmail.com
2 alinedmv@gmail.com
3 thais.agmedeiros@gmail.com
4 natalia.rudorff@inpe.br
5 mkampel2010@gmail.com
Conference NameCongreso Latinoamericano de Ciencias del Mar, 19
Conference LocationPanamá
Date19-23 Sept. 2022
History (UTC)2022-09-19 14:38:31 :: simone -> administrator :: 2022
2023-01-03 16:46:16 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractAntecedentes y justificación: Orbital sensors have been used for ocean colour research and monitoring for decades with successful retrieval of chlorophyll-a concentrations, suspended matter and other biogeochemical and bio-optical properties. Recently, in situ sampling of remote sensing radiance has also been stimulated using smartphone ocean colour apps1. Planteamiento del problema y objetivos: The objective of this study was to verify the feasibility of using smartphone cameras to classify common water types in Brazil. Materiales y Métodos: We used 74 in situ remote sensing reflectance spectra collected using hyperspectral radiometers in various water types (i.e., in the southeast coast, Abrolhos coral reef and Amazon River) to simulate the multispectral bands of smartphones (SSB)2 and apply an Optical Water Type (OWT) classification3. We also used simulated MODIS bands to compare the classification results. The K-means classification was applied to the hyperspectral data and simulated bands to distinguish the OWTs. Also, the Apparent Visible Wavelength (AVW) index was used to analyse the bands which contributed more to the classification. Resultados y Discusión: The results indicated that 4 classes were obtained and agreed in more than 95% for all sets of data (hyperspectral, MODIS and SSB). The AVW index revealed a higher contribution of the blue band to the first-class, red band to the second class and green band for the last two classes, which is related to the concentration of different biogeochemical constituents in the waters. Conclusiones: This study provides a wider perspective of how the smartphone cameras can be applied to water classification, which can be extended to ocean colour alteration track, in a citizen science approach.
AreaSRE
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Languageen
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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