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dc.contributor.authorCESAR, G. M.
dc.contributor.authorMIRANDA, M.
dc.contributor.authorUMMUS, M. E.
dc.contributor.authorMACIEL, D.
dc.contributor.authorOLIVEIRA, A. de L.
dc.contributor.authorBRITO, A.
dc.contributor.authorVASCO, K. L.
dc.contributor.authorPACHECO, F.
dc.contributor.authorOMETTO, J. P. H. B.
dc.contributor.authorBARBOSA, C. C. F.
dc.contributor.authorKAMPEL, M.
dc.contributor.authorFLECKER, A.
dc.contributor.authorVALERIO, A. de M.
dc.date.accessioned2025-05-07T13:47:46Z-
dc.date.available2025-05-07T13:47:46Z-
dc.date.created2025-05-07
dc.date.issued2025
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 21, 2025, Salvador. Anais eletrônicos. Campinas: Galoá, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1175348-
dc.descriptionRemote sensing has emerged as a promising tool for environmental monitoring, offering a synoptic view, which contrasts with the time-consuming and costly in situ measurements. This study compares hyperspectral, multispectral, and broadband remote sensing data collected from fishponds in Palmas, Tocantins State, using a combination of field measurements, satellite imagery from PlanetScope SuperDove and smartphone applications called Hydrocolor, respectively. Results showed significant correlations between longer wavelength bands, across different datasets. However, weaker correlations in shorter wavelengths suggest the need for periodic adjustments, especially for lower-spectral-resolution sensors. Additionally, limitations such as cloud cover in satellite imagery highlight the importance of multi-sensor approaches, integrating satellite data with smartphone-based monitoring, to track small water bodies. The findings highlight the potential of citizen science in environmental management, although challenges related to data validation across platforms remain. Further studies are required to improve data integration and promote the adoption of emerging technologies in water monitoring.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectWater color
dc.subjectAmazonian fish farm
dc.subjectCitizen science
dc.subjectHydrocolor
dc.titleSpectral comparison of remote sensing reflectance in fishponds in the Legal Amazonia.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroSensoriamento Remoto
dc.subject.thesagroPeixe
dc.subject.thesagroAquicultura
dc.subject.nalthesaurusAquaculture
dc.subject.nalthesaurusAmazonia
dc.subject.nalthesaurusRemote sensing
riaa.ainfo.id1175348
riaa.ainfo.lastupdate2025-05-07
dc.contributor.institutionGABRIEL MOIANO CESAR, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; MARCELA MIRANDA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; MARTA EICHEMBERGER UMMUS, CNPASA; DANIEL MACIEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; ANDREA DE LIMA OLIVEIRA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; ALECSANDER BRITO, UNIVERSIDADE FEDERL DO TOCANTINS; KENNEDY LEOCADIO VASCO; FELIPE PACHECO, CORNELL UNIVERSITY; JEAN PIERRE HENRY BALBAUD OMETTO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; CLAUDIO CLEMENTE FARIA BARBOSA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; MILTON KAMPEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; ALEXANDER FLECKER, CORNELL UNIVERSITY; ALINE DE MATOS VALERIO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS.
Appears in Collections:Artigo em anais de congresso (CNPASA)

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