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.
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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
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
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
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
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
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2004
IEEE Trans. Geosci. Remote. Sens., 2004
2003
IEEE Trans. Geosci. Remote. Sens., 2003