Brazil Data Cube’s team attended the XXI Brazilian Symposium on Remote Sensing in 2025
The Brazil Data Cube team actively participated in the XXI Brazilian Symposium on Remote Sensing (SBSR 2025), in Salvador, Bahia, from April 13 to 16.
During the event, the team was involved in various activities, starting on April 12, when the mini-course “Earth Observation Data Cubes and Image Time Series Analysis” was given, lasting 8 hours and attended by 17 participants.
The project team also presented their work in poster sessions: “Detecting atypical agricultural patterns in rural credit applications based on satellite image time series” and “WTSS-QGIS: an extension for retrieving and visualizing satellite image time series in the QGIS environment”.
As well as presentations in oral technical sessions: “Cataloging GOES Satellite Images in INPE’s Georeferenced Information Base”, “A Web Service for Phenology Metrics Extraction from Big Earth Observation Data” and “Integration of Radar and Optical Data for Identifying Tropical Forest Disturbances”.
Throughout the event, the Brazil Data Cube project team was at the Earth Observation and Geoinformatics Division (DIOTG) stand to welcome visitors with demonstrations of the data and software products and the partnerships that have been developed in the context of the project.
And on the last day of the event, the BDC team held the Thematic Session “Advances in machine learning for the analysis of large Earth observation data”, which included presentations by the project coordinators, head of DIOTG Dr. Karine Ferreira (INPE) and the head of the Geographic Information Base (BIG) program Dr. Gilberto Queiroz (INPE). Karine Ferreira (INPE) and the head of the Georeferenced Information Base (BIG) program Dr. Gilberto Queiroz (INPE), and guest researchers Dr. Gilberto Câmara (INPE), Dr. Charlotte Pelletier (Uni. Bretagne-Sud, France) and Dr. Gregory Giuliani (Swiss Data Cube Project Leader, Uni. of Geneva, Switzerland).
See the gallery below for some photos of the BDC’s participation in SBSR 2025.
