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Paulo Sergio Graziano Magalhães
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2020 – today
- 2024
- [j15]João P. S. Werner
, Mariana Belgiu
Mapping Integrated Crop-Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning. Remote. Sens. 16(8): 1421 (2024) - 2023
- [j14]Francisco R. S. Pereira, Aliny A. Dos Reis
Imputation of Missing Parts in UAV Orthomosaics Using PlanetScope and Sentinel-2 Data: A Case Study in a Grass-Dominated Area. ISPRS Int. J. Geo Inf. 12(2): 41 (2023) - [j13]Bruna Cristina Gallo
Soil Erosion Satellite-Based Estimation in Cropland for Soil Conservation. Remote. Sens. 15(1): 20 (2023) - [j12]Ana P. S. G. D. Toro
SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine Learning Algorithms. Remote. Sens. 15(4): 1130 (2023) - 2022
- [j11]Francisco R. S. Pereira
Nitrogen variability assessment of pasture fields under an integrated crop-livestock system using UAV, PlanetScope, and Sentinel-2 data. Comput. Electron. Agric. 193: 106645 (2022) - [j10]Rodrigo G. Freitas, Francisco R. S. Pereira
Estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images. Comput. Electron. Agric. 198: 107122 (2022) - 2021
- [c2]Henrique S. L. Almeida, Aliny A. Dos Reis, João P. S. Werner, João F. G. Antunes, Liheng Zhong, Gleyce Kelly Dantas Araújo Figueiredo, Júlio C. D. M. Esquerdo, Alexandre Camargo Coutinho, Rubens A. C. Lamparelli, Paulo Sergio Graziano Magalhães:
Deep Neural Networks for Mapping Integrated Crop-Livestock Systems Using Planetscope Time Series. IGARSS 2021: 4224-4227 - 2020
- [j9]Rodrigo Werner Dall'Agnol, Gabriela Karoline Michelon, Claudio Leones Bazzi, Paulo Sergio Graziano Magalhães
Web applications for spatial analyses and thematic map generation. Comput. Electron. Agric. 172: 105374 (2020) - [j8]Aliny A. Dos Reis
Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery. Remote. Sens. 12(16): 2534 (2020)
2010 – 2019
- 2019
- [j7]Nelson Miguel Betzek, Eduardo Godoy de Souza, Claudio Leones Bazzi, Kelyn Schenatto, Alan Gavioli, Paulo Sergio Graziano Magalhães
Computational routines for the automatic selection of the best parameters used by interpolation methods to create thematic maps. Comput. Electron. Agric. 157: 49-62 (2019) - [j6]Gabriela Karoline Michelon, Claudio Leones Bazzi, Shrinivasa Upadhyaya, Eduardo Godoy de Souza, Paulo Sergio Graziano Magalhães
Software AgDataBox-Map to precision agriculture management. SoftwareX 10: 100320 (2019) - [j5]Claudio Leones Bazzi, Erminio Pita Jasse, Paulo Sergio Graziano Magalhães
AgDataBox API - Integration of data and software in precision agriculture. SoftwareX 10: 100327 (2019) - 2018
- [j4]Ramses A. Molijn
Vegetation Characterization through the Use of Precipitation-Affected SAR Signals. Remote. Sens. 10(10): 1647 (2018) - [j3]Ramses A. Molijn
Erratum: Ramses A.M. et al. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals. Remote Sens. 2018 10 1647. Remote. Sens. 10(11): 1854 (2018) - 2017
- [j2]Carlos Henrique Wachholz de Souza
Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images. Comput. Electron. Agric. 143: 49-56 (2017) - 2016
- [j1]Carlos Eduardo Driemeier, Liu Yi Ling, Guilherme M. Sanches, Angelica O. Pontes, Paulo Sergio Graziano Magalhães
A computational environment to support research in sugarcane agriculture. Comput. Electron. Agric. 130: 13-19 (2016) - 2014
- [c1]Carlos Eduardo Driemeier, Liu Yi Ling, Angelica O. Pontes, Guilherme M. Sanches, Henrique C. J. Franco, Paulo Sergio Graziano Magalhães
Data Analysis Workflow for Experiments in Sugarcane Precision Agriculture. eScience 2014: 163-168
Coauthor Index
aka: Rubens Augusto Camargo Lamparelli
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