Creation of a gala apple fruit image database for Brazil.

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dc.contributorALESSANDRA SOARES SESSI, EMBRAPA UVA E VINHO; ALESSANDRO FERNANDO MACHADO FRANCO, EMBRAPA UVA E VINHO; EDUARDO CARVALHO DA SILVA, EMBRAPA UVA E VINHO; LUCAS DE ROSS MARCHIORETTO, EMBRAPA UVA E VINHO; JOVANIA MENEZES DIAS, INSTITUTO FEDERAL DO RIO GRANDE DO SUL; SILVIO ANDRE MEIRELLES ALVES, CNPUV; LUCIANO GEBLER, CNPUV.
dc.creatorSESSI, A. S.
dc.creatorFRANCO, A. F. M. F.
dc.creatorSILVA, E. C. da
dc.creatorMARCHIORETTO, L. de R.
dc.creatorDIAS, J. M.
dc.creatorALVES, S. A. M.
dc.creatorGEBLER, L.
dc.date2026-04-02T13:48:25Z
dc.date2026-04-02T13:48:25Z
dc.date2026-04-02
dc.date2025
dc.date.accessioned2026-07-07T11:32:15Z
dc.descriptionInformation on land use and coverage is necessary to assist in the management process and assertive decision-making. Thus, the present study aimed to evaluate the fusion of Sentinel-1 (S1) and Sentinel-2 (S2) data in the mapping of land use and coverage of the municipality of Lagoinha (SP) using the Random Forest method. Three scenarios were tested for classification: data from (S1), (S2) and fusion of (S2+S1). To evaluate the accuracy of the classification, high-resolution images from Google Earth and S2 software were used. The overall accuracy of the classification from the combination of S2+S1 data was 94%, and the Kappa index was equal to 0.9. For the isolated images of S2 and S1, overall accuracies of 80% and 50% and Kappas index of 0.71 and 0.50 were obtained, respectively. The fusion of S1+S2 data showed high accuracy in mapping;
dc.format7 p.
dc.identifierIn: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 19-26.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1186027
dc.identifier.urihttp://hdl.handle.net/123456789/511437
dc.languageeng
dc.rightsopenAccess
dc.subjectSensor Fusion
dc.subjectMachine Learning
dc.subjectRadar
dc.subjectRemote sensing
dc.subjectLand use
dc.titleCreation of a gala apple fruit image database for Brazil.
dc.typeArtigo em anais e proceedings

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