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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1186027Registro completo de metadados
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | SESSI, A. S. | |
| dc.contributor.author | FRANCO, A. F. M. F. | |
| dc.contributor.author | SILVA, E. C. da | |
| dc.contributor.author | MARCHIORETTO, L. de R. | |
| dc.contributor.author | DIAS, J. M. | |
| dc.contributor.author | ALVES, S. A. M. | |
| dc.contributor.author | GEBLER, L. | |
| dc.date.accessioned | 2026-04-02T13:48:25Z | - |
| dc.date.available | 2026-04-02T13:48:25Z | - |
| dc.date.created | 2026-04-02 | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | In: 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.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1186027 | - |
| dc.description | Information 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.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Sensor Fusion | |
| dc.subject | Machine Learning | |
| dc.title | Creation of a gala apple fruit image database for Brazil. | |
| dc.type | Artigo em anais e proceedings | |
| dc.subject.thesagro | Radar | |
| dc.subject.nalthesaurus | Remote sensing | |
| dc.subject.nalthesaurus | Land use | |
| dc.format.extent2 | 7 p. | |
| riaa.ainfo.id | 1186027 | |
| riaa.ainfo.lastupdate | 2026-04-02 | |
| dc.contributor.institution | ALESSANDRA 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. | |
| Aparece nas coleções: | Artigo em anais de congresso (CNPUV)![]() ![]() | |
Arquivos associados a este item:
| Arquivo | Tamanho | Formato | |
|---|---|---|---|
| Anais-Workshop-Cientifico-Semear-Digital-2025-19-26.pdf | 1,15 MB | Adobe PDF | Visualizar/Abrir |







