Paulo Sergio Graziano Magalhães

Orcid: 0000-0002-5374-3591

According to our database1, Paulo Sergio Graziano Magalhães authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine Learning Algorithms.
Remote. Sens., February, 2023

Soil Erosion Satellite-Based Estimation in Cropland for Soil Conservation.
Remote. Sens., January, 2023

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., 2023

2022
Nitrogen variability assessment of pasture fields under an integrated crop-livestock system using UAV, PlanetScope, and Sentinel-2 data.
Comput. Electron. Agric., 2022

Estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images.
Comput. Electron. Agric., 2022

2021
Deep Neural Networks for Mapping Integrated Crop-Livestock Systems Using Planetscope Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery.
Remote. Sens., 2020

Web applications for spatial analyses and thematic map generation.
Comput. Electron. Agric., 2020

2019
Software AgDataBox-Map to precision agriculture management.
SoftwareX, 2019

AgDataBox API - Integration of data and software in precision agriculture.
SoftwareX, 2019

Computational routines for the automatic selection of the best parameters used by interpolation methods to create thematic maps.
Comput. Electron. Agric., 2019

2018
Erratum: Ramses A.M. et al. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals. Remote Sens. 2018 <i>10</i> 1647.
Remote. Sens., 2018

Vegetation Characterization through the Use of Precipitation-Affected SAR Signals.
Remote. Sens., 2018

2017
Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images.
Comput. Electron. Agric., 2017

2016
A computational environment to support research in sugarcane agriculture.
Comput. Electron. Agric., 2016

2014
Data Analysis Workflow for Experiments in Sugarcane Precision Agriculture.
Proceedings of the 10th IEEE International Conference on e-Science, 2014


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