Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1185948
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dc.contributor.authorSOARES, V. B.
dc.contributor.authorBOLFE, E. L.
dc.contributor.authorPARREIRAS, T. C.
dc.contributor.authorKLINKE NETO, G.
dc.contributor.authorCOSTA, M. O. X. D.
dc.contributor.authorXAUD, H. A. M.
dc.date.accessioned2026-03-31T14:49:09Z-
dc.date.available2026-03-31T14:49:09Z-
dc.date.created2026-03-31
dc.date.issued2025
dc.identifier.citationIn: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 453-460.
dc.identifier.isbn978-85-86481-94-9
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1185948-
dc.descriptionThe municipality of Breves, located in the Marajó Archipelago - Pará State, is a strategic area for açaí production in the Brazilian Amazon. However, the characterization of its productive environments using remote sensing still represents a significant methodological challenge, due to the scarcity of field data, logistical difficulties and high cloud cover. This paper presents the collection of georeferenced data carried out by the Embrapa Digital Agriculture team during a field campaign in October 2024, using the AgroTag application. The results highlight the importance of using high-resolution data and advanced techniques for mapping land use in the Amazon. This study provides valuable reference data for future classification models and reinforces the importance of integrating remote sensing and fieldwork in data-poor regions.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectDados de alta resolução
dc.subjectAmazon
dc.subjectAgrotag
dc.subjectHigh-resolution data
dc.titleSupporting riverside açaí production: field data from Breves DAT for remote sensing applications.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroEuterpe Oleracea
dc.subject.thesagroSensoriamento Remoto
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusAmazonia
dc.description.notesNa publicação: Michell Costa. Organização: Silvia Maria Fonseca Silveira Massruhá, Durval Dourado Neto, Luciana Alvim Santos Romani, Jayme Garcia Arnal Barbedo, Édson Luis Bolfe, Ivan Bergier, Maria Angelica de Andrade Leite, Vitor Del Alamo Guarda, Catarina Barbosa Careta.
riaa.ainfo.id1185948
riaa.ainfo.lastupdate2026-03-31
dc.contributor.institutionVICTÓRIA BEATRIZ SOARES, UNIVERSIDADE ESTADUAL DE CAMPINAS; EDSON LUIS BOLFE, CNPTIA; TAYA CRISTO PARREIRAS, UNIVERSIDADE ESTADUAL DE CAMPINAS; GUSTAVO KLINKE NETO, UNIVERSIDADE ESTADUAL DE CAMPINAS; MICHELL OLIVIO XAVIER DA COSTA, CPATU; HARON ABRAHIM MAGALHAES XAUD, CPAF-RR.
Appears in Collections:Artigo em anais de congresso (CNPTIA)

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