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J. F. G. Antunes

Observed names: ANTUNES, J. F. G., Antunes, Joao, Antunes, João Francisco Gonçalves, Antunes, João F. G., Antunes, João Francisco Gonçalves, Antunes, João F. G., Antunes, João Francisco Gonçalves, Joao Antunes, Joao F. G. Antunes, João Francisco Gonçalves Antunes, João Antunes, João F. G. Antunes, João F.G. Antunes, João Francisco G. Antunes, João Francisco Gonçalves ANTUNES, João Francisco Gonçalves Antunes
ORCID: 0000-0001-8114-9971
Observed ORCID: 0000-0001-8114-9971
OpenAlex ID: A5055094296
Big earth observation time series analysis for monitoring Brazilian agriculture
2018 · Michelle Cristina Araujo Picoli, Gilberto Camara, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 174
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Upturn in secondary forest clearing buffers primary forest loss in the Brazilian Amazon
2020 · Yunxia Wang, Guy Ziv, et al. · Nature Sustainability · 99
Use of NDVI/AVHRR time-series profiles for soybean crop monitoring in Brazil
2011 · J. C. D. M. Esquerdo, J. Zullo Júnior, et al. · International Journal of Remote Sensing · 89
Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop–Livestock System Using Textural Information from PlanetScope Imagery
2020 · Aliny A. Dos Reis, João P. S. Werner, et al. · Remote Sensing · 79
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Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia
2023 · Gilberto Camara, Rolf Simoes, et al. · Environmental Research Letters · 40
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An automatic system for AVHRR land surface product generation
2006 · J. C. D. M. Esquerdo, J. F. G. Antunes, et al. · International Journal of Remote Sensing · 32
SATVeg: A web-based tool for visualization of MODIS vegetation indices in South America
2020 · Júlio César Dalla Mora Esquerdo, João Francisco Gonçalves Antunes, et al. · Computers and Electronics in Agriculture · 28
Custos: sistema de custo de producao agricola
1994 · Nelson Batista Martin, Renata Serra, et al. · Informacoes economicas - Instituto de Economia Agricola · 24
Mapping integrated crop-livestock systems in Brazil with planetscope time series and deep learning
2023 · Inacio T. Bueno, João F.G. Antunes, et al. · Remote Sensing of Environment · 22
Development and Validation of a Model Based on Vegetation Indices for the Prediction of Sugarcane Yield
2023 · Julio Cezar Souza Vasconcelos, Eduardo Antonio Speranza, et al. · AgriEngineering · 22
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Land cover change maps for Mato Grosso State in Brazil: 2001-2016, links to files
2017 · Câmara, Gilberto, Picoli, Michelle, et al. · Figshare · 22
Bacillus-based inoculants enhance drought resilience in soybean: agronomic performance and remote sensing analysis from multi-location trials in Brazil
2025 · Julio Cezar Souza Vasconcelos, Caio Simplicio Arantes, et al. · Frontiers in Plant Science · 19
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Mapping Integrated Crop–Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning
2024 · João P. S. Werner, Mariana Belgiu, et al. · Remote Sensing · 18
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Contextual superpixel description for remote sensing image classification
2015 · J. E. Vargas, A. X. Falcao, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 18
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Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images
2017 · Clóvis Cechim Junior, Jerry A. Johann, et al. · Revista Brasileira de Engenharia Agrícola e Ambiental · 16
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Estimativa de área de soja por classificação de imagens normalizada pela matriz de erros
2012 · João Francisco Gonçalves Antunes, Erivelto Mercante, et al. · Pesquisa Agropecuária Brasileira · 15
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Predicting Sugarcane Yield Through Temporal Analysis of Satellite Imagery During the Growth Phase
2025 · Julio Cezar Souza Vasconcelos, Caio Simplicio Arantes, et al. · Agronomy · 14
Exploring the Potential of High-Resolution Planetscope Imagery for Pasture Biomass Estimation in an Integrated Crop–Livestock System
2020 · A. A. Dos Reis, B. C. Silva, et al. · IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS) · 11
Desenvolvimento do banco de produtos MODIS na base estadual brasileira.
2010 · Júlio César, J. F. G. Antunes, et al. · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 10
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SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop–Livestock Systems Using Deep and Machine Learning Algorithms
2023 · Ana P. S. G. D. D. Toro, Inacio T. Bueno, et al. · Remote Sensing · 9
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Annual cropland mapping using data mining and OLI Landsat-8
2019 · Lucas V. Oldoni, Carlos E. V. Cattani, et al. · Revista Brasileira de Engenharia Agrícola e Ambiental · 9
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Evaluation of Sugarcane Yield Response to a Phosphate-Solubilizing Microbial Inoculant: Using an Aerial Imagery-Based Model
2023 · Denize Palmito dos Santos, Artur Soares, et al. · Sugar Tech · 8
Land cover change maps for Mato Grosso State in Brazil: 2001-2017 (version 3)
2019 · Câmara, Gilberto, Picoli, Michelle, et al. · Figshare · 8
Land Use/land Cover Classification in a Heterogeneous Agricultural Landscape Using Planetscope Data
2023 · I. T. Bueno, J. F. G. Antunes, et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 7
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Imputation of Missing Parts in UAV Orthomosaics Using PlanetScope and Sentinel-2 Data: A Case Study in a Grass-Dominated Area
2023 · Francisco R. da S. Pereira, Aliny A. Dos Reis, et al. · ISPRS International Journal of Geo-Information · 6
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Works count: 104
Citation count: 850
H-index: 15
I10-index: 19
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