Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1185940
Title: The role of Landsat and Sentinel-2 data harmonization in monitoring agricultural dynamics on smallholder farming regions.
Authors: PARREIRAS, T. C.
BOLFE, E. L.
Affiliation: TAYA CRISTO PARREIRAS, UNIVERSIDADE ESTADUAL DE CAMPINAS; EDSON LUIS BOLFE, CNPTIA.
Date Issued: 2025
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. 397-404.
Description: This study explores the potential of Harmonized Landsat Sentinel-2 (HLS) data for detailed agricultural mapping in diversified farming regions of São Paulo, Brazil. Focusing on Casa Branca and Caconde, the research integrates multitemporal HLS imagery (2021–2024) to perform crop classifications at multiple levels. In Caconde, high-resolution temporal data (2–4 day revisit) enabled strong performance in distinguishing perennial crops, particularly coffee, which achieved an average sensitivity of 0.97 and specificity of 0.91. Phenological stages of coffee, such as Producing and Newly Planted, were reliably mapped, while Stumping and Skeletoning showed lower consistency. In Casa Branca, six field campaigns supported the construction of a robust training dataset across up to nine growing seasons. Integrating Landsat 9 into the HLS collection more than doubled temporal resolution over the study period, enhancing model accuracy and phenological tracking. Future work will focus on model transferability across time and space and on evaluating the relative performance of HLS versus individual Landsat and Sentinel data.
Thesagro: Agricultura
Irrigação
NAL Thesaurus: Agriculture
Irrigation
Keywords: Aprendizado de máquina
Diversidade de culturas
Prodção de café
Harmonized Landsat Sentinel-2
Machine learning
Crop diversity
Coffee production
ISBN: 978-85-86481-94-9
Notes: 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.
Type of Material: Artigo em anais e proceedings
Access: openAccess
Appears in Collections:Artigo em anais de congresso (CNPTIA)

Files in This Item:
File SizeFormat 
AA-Role-Landsat-Workshop-2025.pdf438,4 kBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace