Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1177398
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dc.contributor.authorSANTOS, P. A. dos
dc.contributor.authorADAMI, M.
dc.contributor.authorPICOLI, M. C. A.
dc.contributor.authorPRUDENTE, V. H. R.
dc.contributor.authorESQUERDO, J. C. D. M.
dc.contributor.authorQUEIROZ, G. R.
dc.contributor.authorSANTANA, C. T. C. de
dc.contributor.authorCHAVES, M. E. D.
dc.date.accessioned2025-07-21T12:48:29Z-
dc.date.available2025-07-21T12:48:29Z-
dc.date.created2025-07-21
dc.date.issued2025
dc.identifier.citationRemote Sensing, v. 17, n. 13, 2324, July 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1177398-
dc.descriptionReliable remote sensing-based Land Use and Land Cover (LULC) information is crucial for assessing Earth’s surface activities. Brazil’s agricultural dynamics, including year-round cropping, multiple cropping, and regional climate variability, make LULC monitoring a highly challenging task. The country has thirteen remote sensing-based LULC products specifically tailored for this purpose. However, the differences and the results of these products have not yet been synthesized to provide coherent guidance in assessing their spatio-temporal agricultural dynamics and identifying promising approaches and issues that affect LULC analysis. This review represents the first comprehensive assessment of the advantages, challenges, and limitations, highlighting the main issues when dealing with contrasting LULC maps. These challenges include incompatibility, a lack of updates, non-systematic classification ontologies, and insufficient data to monitor Brazilian LULC information. The consequences include impacts on intercropping estimation, diminished representation or misrepresentation of croplands; temporal discontinuity; an insufficient number of classes for subannual cropping evaluation; and reduced compatibility, comparability, and spectral separability. The study provides insights into the use of these products as primary input data for remote sensing-based applications. Moreover, it provides prospects for enhancing existing mapping efforts or developing new national-level initiatives to represent the spatio-temporal variation of Brazilian agriculture.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCobertura da terra
dc.subjectTerras agrícolas
dc.subjectMapas temáticos
dc.subjectMapeamento
dc.subjectMapping
dc.titleLand use and land cover products for agricultural mapping applications in Brazil: challenges and limitations.
dc.typeArtigo de periódico
dc.subject.thesagroUso da Terra
dc.subject.thesagroSensoriamento Remoto
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusLand use
dc.subject.nalthesaurusLand cover
dc.subject.nalthesaurusCropland
dc.subject.nalthesaurusThematic maps
riaa.ainfo.id1177398
riaa.ainfo.lastupdate2025-07-21
dc.identifier.doihttps://doi.org/10.3390/ rs17132324
dc.contributor.institutionPRISCILLA AZEVEDO DOS SANTOS, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; MARCOS ADAMI, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; MICHELLE CRISTINA ARAUJO PICOLI, FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS; VICTOR HUGO ROHDEN PRUDENTE, UNIVERSITY OF MICHIGAN; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA, UNIVERSIDADE ESTADUAL DE CAMPINAS; GILBERTO RIBEIRO DE QUEIROZ, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; CLEVERTON TIAGO CARNEIRO DE SANTANA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS, COMPANHIA NACIONAL DE ABASTECIMENTO; MICHEL EUSTÁQUIO DANTAS CHAVES, UNIVERSIDADE ESTADUAL PAULISTA "JÚLIO DE MESQUITA FILHO".
Appears in Collections:Artigo em periódico indexado (CNPTIA)

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