Michelle C. A. Picoli

According to our database, Michelle C. A. Picoli authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Remote Sensing Framework for Evaluating Forest Landscape Restoration Projects: Enhancing Accuracy and Effectiveness.

Michelle C. A. Picoli, Kenny Helsen

IEEE Geosci. Remote. Sens. Lett., 2024

2023

The segmetric Package: Metrics for Assessing Segmentation Accuracy for Geospatial Data.

Rolf Ezequiel O. Simões, Alber H. Sánchez, Michelle Cristina Araújo Picoli, Patrick Meyfroidt

R J., March, 2023

Avaliação de Segmentações de Imagens de Observação da Terra Com R.

Alber H. Sánchez, Michelle C. A. Picoli, Rolf Ezequiel O. Simões

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Zambia Land Use and Land Cover Field Data Set.

Michelle C. A. Picoli, Kenny Helsen, Haggai Mulenga

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

2022

Large-area mapping of active cropland and short-term fallows in smallholder landscapes using PlanetScope data.

Philippe Rufin, Adia Bey, Michelle Cristina Araújo Picoli, Patrick Meyfroidt

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series.

Lorena A. Santos, Karine Reis Ferreira, Michelle Cristina Araújo Picoli, Gilberto Câmara, Raúl Zurita-Milla, Ellen-Wien Augustijn

Remote. Sens., 2021

Reply to Comment on "Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest".

Alber Hamersson Sánchez, Michelle Cristina Araújo Picoli, Gilberto Câmara, Pedro Ribeiro de Andrade, Michel Eustáquio Dantas Chaves, Sarah Lechler, Anderson Reis Soares, Rennan F. B. Marujo, Rolf Ezequiel O. Simões, Karine Reis Ferreira, Gilberto Ribeiro de Queiroz

Remote. Sens., 2021

Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm.

Ana Cláudia dos Santos Luciano, Michelle Cristina Araújo Picoli, Daniel Garbellini Duft, Jansle Vieira Rocha, Manoel Regis Lima Verde Leal, Guerric le Maire

Comput. Electron. Agric., 2021

2020

Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest.

Alber Hamersson Sánchez, Michelle Cristina Araújo Picoli, Gilberto Câmara, Pedro Ribeiro de Andrade Neto, Michel Eustáquio Dantas Chaves, Sarah Lechler, Anderson Reis Soares, Rennan F. B. Marujo, Rolf Ezequiel O. Simões, Karine Reis Ferreira, Gilberto Ribeiro de Queiroz

Remote. Sens., 2020

Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products.

Karine Reis Ferreira, Gilberto Ribeiro de Queiroz, Lúbia Vinhas, Rennan F. B. Marujo, Rolf Ezequiel O. Simões, Michelle Cristina Araújo Picoli, Gilberto Câmara, Ricardo Cartaxo, Vitor Conrado Faria Gomes, Lorena A. Santos, Alber H. Sánchez, Jeferson S. Arcanjo, José Guilherme Fronza, Carlos Alberto Noronha, Raphael W. Costa, Matheus Cavassan Zaglia, Fabiana Zioti, Thales Sehn Körting, Anderson Reis Soares, Michel E. D. Chaves, Leila M. G. Fonseca

Remote. Sens., 2020

Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review.

Michel E. D. Chaves, Michelle Cristina Araújo Picoli, Ieda Del'Arco Sanches

Remote. Sens., 2020

2019

A spatiotemporal calculus for reasoning about land-use trajectories.

Adeline Marinho Maciel, Gilberto Câmara, Lúbia Vinhas, Michelle Cristina Araújo Picoli, Rodrigo Anzolin Begotti, Luiz Fernando Ferreira Gomes de Assis

Int. J. Geogr. Inf. Sci., 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.

Ana Cláudia dos Santos Luciano, Michelle Cristina Araújo Picoli, Jansle Vieira Rocha, Daniel Garbellini Duft, Rubens Augusto Camargo Lamparelli, Manoel Regis Lima Verde Leal, Guerric le Maire

Int. J. Appl. Earth Obs. Geoinformation, 2019

Self-Organizing Maps in Earth Observation Data Cubes Analysis.

Lorena A. Santos, Karine Reis Ferreira, Michelle Cristina Araújo Picoli, Gilberto Câmara

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Evaluating Distance Measures for Image Time Series Clustering in Land Use and Cover Monitoring.

Karine Reis Ferreira, Lorena A. Santos, Michelle Cristina Araújo Picoli

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

Land Cover Classifications of Clear-cut Deforestation Using Deep Learning.

Alber H. Sánchez, Michelle Cristina Araújo Picoli, Pedro Ribeiro de Andrade, Rolf Ezequiel O. Simões, Lorena A. Santos, Michel E. D. Chaves, Rodrigo Anzolin Begotti, Gilberto Câmara

Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

2018

An Interval-Based Approach for Reasoning About Land use Change Trajectories.

Adeline M. Maciel, Lúbia Vinhas, Gilberto Câmara, Michelle Cristina Araújo Picoli, Rodrigo Anzolin Begotti

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018