Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1185413
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dc.contributor.authorBOLFE, E. L.
dc.contributor.authorBAYMA, G.
dc.contributor.authorSANO, E. E.
dc.contributor.authorVICTORIA, D. de C.
dc.contributor.authorBERGIER, I.
dc.contributor.authorMASSRUHÁ, S. M. F. S.
dc.contributor.authorOLIVEIRA, A. F. de
dc.date.accessioned2026-03-16T12:56:32Z-
dc.date.available2026-03-16T12:56:32Z-
dc.date.created2026-03-16
dc.date.issued2026
dc.identifier.citationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. X-3/W4-2025, p. 41-47, 2026.
dc.identifier.issn2194-9050
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1185413-
dc.descriptionThis study aimed to assess the potential for agricultural expansion into pasture areas with varying degrees of degradation in Brazil, providing both quantitative and spatial analyses at different scales – national, biome, microregion, and municipality. The proposed method was based on remote sensing data analysis and on data integration on a geographic information system to map degraded pasturelands, lands with natural agricultural suitability, infrastructure (roads and warehouses), croplands, climate risk agricultural zoning, and legal or environmental constraints posed by indigenous territories, Quilombola communities, agrarian settlements, and conservation units. Results indicate that approximately 28 million hectares of moderately to severely degraded pastures present good to high potential for conversion into croplands, considering the base year of 2022. The Cerrado biome demonstrated the highest potential, accounting for about 14.5 million hectares. The ten municipalities selected by the Digital Agriculture Development Science Center (Semear Digital) initiative and their corresponding microregions presented a total of 34.1 thousand hectares and 266.5 thousand hectares, respectively. The present approach enabled the quantification and spatialization of agricultural potential through a multiscale approach, providing support for decision-making in the formulation of public policies aimed at the restoration of degraded areas.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectExpansão agrícola
dc.subjectPastagem degradada
dc.subjectPotencial agrícola
dc.subjectDados geoespaciais
dc.subjectIntegração de dados
dc.subjectData integration
dc.titleMultiscale assessment of agricultural expansion potential in degraded pasturelands in brazil using geospatial data.
dc.typeArtigo de periódico
dc.subject.thesagroSensoriamento Remoto
dc.subject.thesagroSistema de Informação Geográfica
dc.subject.thesagroUso da Terra
dc.subject.nalthesaurusLand use
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusGeographic information systems
dc.subject.nalthesaurusGeospatial data processing
dc.description.notesNa publicação: Gustavo Bayma. Edition of proceedings of the Latin American GRSS and ISPRS Remote Sensing Conference (LAGIRS), Foz do Iguaçu, Brazil, 2025.
riaa.ainfo.id1185413
riaa.ainfo.lastupdate2026-03-16
dc.identifier.doihttps://doi.org/10.5194/isprs-annals-X-3-W4-2025-41-2026
dc.contributor.institutionEDSON LUIS BOLFE, CNPTIA; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMA; EDSON EYJI SANO, CPAC; DANIEL DE CASTRO VICTORIA, CNPTIA; IVAN BERGIER TAVARES DE LIMA, CNPTIA; SILVIA MARIA FONSECA SILVEIRA MASSRUHA, PR; ARYEVERTON FORTES DE OLIVEIRA, PR.
Aparece nas coleções:Artigo em periódico indexado (CNPTIA)

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