| Big earth observation time series analysis for monitoring Brazilian agriculture MCA Picoli, G Camara, I Sanches, R Simões, A Carvalho, A Maciel, ... ISPRS journal of photogrammetry and remote sensing 145, 328-339, 2018 | 174 | 2018 |
| 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 | 93 | 2021 |
| 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 | 87 | 2020 |
| Comparison of Cloud cover detection algorithms on sentinel–2 images of the amazon tropical forest AH Sanchez, MCA Picoli, G Camara, PR Andrade, MED Chaves, ... Remote Sensing 12 (8), 1284, 2020 | 76 | 2020 |
| 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 | 51 | 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 | 44 | 2021 |
| Using remote sensing images and cloud services on AWS to improve land use and cover monitoring KR Ferreira, GR Queiroz, G Camara, RCM Souza, L Vinhas, RFB Marujo, ... 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS …, 2020 | 34 | 2020 |
| 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 | 31 | 2020 |
| Time-weighted dynamic time warping analysis for mapping interannual cropping practices changes in large-scale agro-industrial farms in Brazilian Cerrado MED Chaves, MC Alves, T Sáfadi, MS de Oliveira, MCA Picoli, ... Science of Remote Sensing 3, 100021, 2021 | 28 | 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 | 19 | 2022 |
| Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia G Camara, R Simoes, HM Ruivo, PR Andrade, AC Soterroni, FM Ramos, ... Environmental Research Letters 18 (6), 065005, 2023 | 14 | 2023 |
| Rstac: An r package to access spatiotemporal asset catalog satellite imagery R Simoes, FC de Souza, M Zaglia, GR de Queiroz, RDC dos Santos, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 7674 …, 2021 | 9 | 2021 |
| The e-sensing architecture for big Earth observation data analysis G Camara, G Queiroz, L Vinhas, K Ferreira, R Cartaxo, R Simoes, E Llapa, ... Big Data from Space (BiDS’17), 48--51, 2017 | 9 | 2017 |
| 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 | 8 | 2019 |
| Satellite multisensor spatiotemporal analysis: a TWDTW preview approach REO Simoes, MAJS Pletsch, LA Santos, G Camara, V Maus XVII SBSR Brazilian Symposium on Remote Sensing, 2017 | 4 | 2017 |
| PostGIS-T: towards a spatiotemporal PostgreSQL database extension R Simoes, GR de Queiroz, KR Ferreira, L Vinhas, G Camara XVII Brazilian Symposium on Geoinformatics, 252--262, 2016 | 4 | 2016 |
| Current policies are insufficient to protect or restore Brazil’s cost-effective conservation priority zones RG Ramos, M Scarabello, AC Soterroni, PR Andrade, R Simões, ... Environmental Research Letters 18 (6), 065006, 2023 | 3 | 2023 |
| Catalogação de Metadados do Cubo de Dados do Brasil com o Spatio Temporal Asset Catalog MC Zaglia, L Vinhas, GR de Queiroz, R Simoes XX GEOINFO, 280-285, 2019 | 3 | 2019 |
| Land Cover Classifications of Clear-cut Deforestation Using Deep Learning A Sanchez, M Picoli, PR Andrade, R Simões, L Santos, M Chaves, ... XX GEOINFO, 48-56, 2019 | 3 | 2019 |
| A computational framework for processing time-series of Earth Observation data based on discrete convolution: global-scale historical Landsat cloud-free aggregates at 30 m … D Consoli, L Parente, R Simoes, M Şahin, X Tian, M Witjes, L Sloat, ... | 2 | 2024 |
Gilberto CamaraNational Institute for Space Research, BrazilVerified email at inpe.br