Título:	Land use and land cover products for agricultural mapping applications in Brazil: challenges and limitations.
Autoria:	SANTOS, P. A. dos ADAMI, M. PICOLI, M. C. A. PRUDENTE, V. H. R. ESQUERDO, J. C. D. M. QUEIROZ, G. R. SANTANA, C. T. C. de CHAVES, M. E. D.
Afiliação:	PRISCILLA 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".
Ano de publicação:	2025
Referência:	Remote Sensing, v. 17, n. 13, 2324, July 2025.
Conteúdo:	Reliable 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.
Thesagro:	Uso da Terra Sensoriamento Remoto
NAL Thesaurus:	Remote sensing Land use Land cover Cropland Thematic maps
Palavras-chave:	Cobertura da terra Terras agrícolas Mapas temáticos Mapeamento Mapping
Digital Object Identifier:	https://doi.org/10.3390/ rs17132324
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPTIA)