Earth observation data cubes for Brazil: Requirements, methodology and products KR Ferreira, GR Queiroz, L Vinhas, RFB Marujo, REO Simoes, MCA Picoli, ... Remote Sensing 12 (24), 4033, 2020 | 69 | 2020 |
Satellite image time series analysis for big earth observation data R Simoes, G Camara, G Queiroz, F Souza, PR Andrade, L Santos, ... Remote Sensing 13 (13), 2428, 2021 | 63 | 2021 |
Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017 R Simoes, MCA Picoli, G Camara, A Maciel, L Santos, PR Andrade, ... Scientific Data 7 (1), 34, 2020 | 47 | 2020 |
Quality control and class noise reduction of satellite image time series LA Santos, KR Ferreira, G Camara, MCA Picoli, RE Simoes ISPRS Journal of Photogrammetry and Remote Sensing 177, 75-88, 2021 | 31 | 2021 |
CBERS data cube: a powerful technology for mapping and monitoring Brazilian biomes MCA Picoli, R Simoes, M Chaves, LA Santos, A Sanchez, A Soares, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 29 | 2020 |
Identifying spatiotemporal patterns in land use and cover samples from satellite image time series LA Santos, K Ferreira, M Picoli, G Camara, R Zurita-Milla, EW Augustijn Remote Sensing 13 (5), 974, 2021 | 18 | 2021 |
A platform for land use and land cover data integration and trajectory analysis F Zioti, KR Ferreira, GR Queiroz, AK Neves, FM Carlos, FC Souza, ... International Journal of Applied Earth Observation and Geoinformation 106 …, 2022 | 13 | 2022 |
Self-organizing maps in earth observation data cubes analysis L Santos, KR Ferreira, M Picoli, G Camara Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering …, 2020 | 11 | 2020 |
Land cover change maps for Mato Grosso state in Brazil: 2001–2017 (version 3) G Câmara, M Picoli, A Maciel, R Simoes, L Santos, PR Andrade, ... Links to Files, Supplement to: Picoli, Michelle, 328-339, 2019 | 7 | 2019 |
Evaluating Distance Measures for Image Time Series Clustering in Land Use and Cover Monitoring. KR Ferreira, LA Santos, MCA Picoli MACLEAN@ PKDD/ECML, 2019 | 5 | 2019 |
Land Cover Classifications of Clear-cut Deforestation Using Deep Learning. AH Sánchez, MCA Picoli, PR de Andrade, REO Simões, LA Santos, ... GEOINFO, 48-56, 2019 | 3 | 2019 |
Agricultural production gains in Brazilian commodity hotspot: Case study state of Mato Grosso MCA Picoli, A Maciel, R Simões, LA Santos, I Sanches Proceedings of the XIX Brazilian Symposium on Remote Sensing, Santos, Brazil …, 2019 | 1 | 2019 |
Spatiotemporal Segmentation of Satellite Image Time Series Using Self-Organizing Map BLC Silva, FC Souza, KR Ferreira, GR Queiroz, LA Santos ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | | 2022 |
Satellite Image Time Series Analysis for Big Earth Observation Data. Remote Sens. 2021, 13, 2428 R Simoes, G Camara, G Queiroz, F Souza, PR Andrade, L Santos, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
Assessing satellite image time series clustering using growing SOM RS da Silva Adeu, KR Ferreira, PR Andrade, L Santos Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020 | | 2020 |
Clustering methods to asses land cover samples of MODIS vegetation indexes time series LA Santos, REO Simoes, KR Ferreira, GR de Queiroz, G Camara, ... Computational Science and Its Applications–ICCSA 2017: 17th International …, 2017 | | 2017 |
Spatiotemporal data representation in R. LA Santos, KR Ferreira, GR de Queiroz, L Vinhas GEOINFO, 178-191, 2016 | | 2016 |
Evaluating Growing Self-Organizing Maps for Satellite Image Time Series Clustering RSS Adeu, KR Ferreira, PR Andrade, L Santos GEOINFO, 20 Years After!, 243, 0 | | |