Rubens A. C. Lamparelli

Orcid: 0000-0003-4344-1263

According to our database1, Rubens A. C. Lamparelli authored at least 24 papers between 2003 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Mapping Integrated Crop-Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning.
Remote. Sens., April, 2024

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

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

2021
Evaluation of Time Series Gap-Filling of Venµs Satellite for Land Use Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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
A Multirepresentational Fusion of Time Series for Pixelwise Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

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

Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study.
IEEE Geosci. Remote. Sens. Lett., 2020

Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region.
Remote. Sens., 2019

A Soft Computing Framework for Image Classification Based on Recurrence Plots.
IEEE Geosci. Remote. Sens. Lett., 2019

A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Comparison of Pasture Areas Over Brazil Biomes Using Global And National Land Cover Maps.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Pixelwise Remote Sensing Image Classification Based on Recurrence Plot Deep Features.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

Integration of sar and optical dense time series for land cover monitoring.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
A HMM-based approach for historic and up-to-date land cover mapping through Landsat time-series in the state of Sao Paulo, Brazil.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2012
A provenance approach to assess the quality of geospatial data.
Proceedings of the ACM Symposium on Applied Computing, 2012

2011
A relevance feedback method based on genetic programming for classification of remote sensing images.
Inf. Sci., 2011

Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic Programming.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
A Genetic Programming approach for coffee crop recognition.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2004
In-flight absolute calibration of the Landsat-5 TM on the test site Salar de Uyuni.
IEEE Trans. Geosci. Remote. Sens., 2004

2003
Characterization of the Salar de Uyuni for in-orbit satellite calibration.
IEEE Trans. Geosci. Remote. Sens., 2003


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