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Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.

Participation in Workshops, Events and Symposium


Brazil Data Cube team takes part in Geopublica 2025 in Salvador

The Brazil Data Cube (BDC) team participated in Geopública 2025, held in Salvador, Bahia, delivering a presentation on September 16, 2025. The talk was given by Dr. Karine Ferreira Gomes, Head of the Earth Observation and Geoinformatics Division at INPE, who discussed the project’s objectives and the challenges of handling large volumes of data. Geopública …

Paper on Brazil Data Cube tool wins award at XXI Brazilian Symposium on Remote Sensing

The paper entitled “A Web Service for Phenology Metrics Extraction from Big Earth Observation Data” received one of the best paper awards during the XXI Brazilian Symposium on Remote Sensing (SBSR), held from April 13 to 16, 2025, in Salvador, Bahia. The award highlights the relevance of the Brazil Data Cube project’s geoinformatics research aligned …

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 …

Brazil Data Cube project in the GEO Open Data and Open Knowledge Workshop in Geneva.

The Brazil Data Cube project was presented yesterday in the GEO Open Data and Open Knowledge Workshop. The Open Data and Open Knowledge is a two-day workshop organized by the Data Working Group, together with the GEOSS Platform and the GEO Knowledge Hub teams, that took place in Geneva from 15-16 June 2023. The workshop …

Brazil Data Cube’s team attended the XX Simpósio Brasileiro de Sensoriamento Remoto – XX SBSR-2023

The Brazil Data Cube team actively participated in the XX Brazilian Symposium on Remote Sensing – XX SBSR 2023, in Florianópolis, SC, Brazil, from April 2nd to 5th. During the event, the team was involved in several activities, starting on April 2nd, where the mini-course “Earth Observation Data Cubes and Analysis of Image Time Series” …

BIOMAS Workshop

On Friday, April 14, 2023, the Workshop of the Environmental Monitoring of Brazilian Biomes by Satellites Project – BIOMAS was held at the Fernando de Mendonça Auditorium, INPE. The event presented the methodologies, results and technologies developed in the project that is financed by the Amazon Fund, with management by BNDES, administration by Funcate and …

Brazil Data Cube team attends at Brazilian Symposium on Geoinformatics (GEOINFO 2022)

The Brazil Data Cube project team attends the XXIII Brazilian Symposium on GeoInformatics (GEOINFO 2022) that is happening at INPE (National Institute for Space Research) this week.  The BDC team taught the mini course “Brazil Data Cube – Earth Observation Data Cubes and Image Time Series Analysis” to 28 symposium participants. The event started yesterday, 28th and runs …

Brazil Data Cube – EO Data Products and Innovative Software Technologies, an overview for The Nature Conservancy

The Brazil Data Cube project presented last September 22, an overview of the data products and software technologies developed in the project in the Earth Observation Lunch and Learn, organized by TNC Earth Observation working group. The Nature Conservancy is a global environmental nonprofit working to create a world where people and nature can thrive. …

Brazil Data Cube team participation in the WorCAP 2022

The Brazil Data Cube (BDC) project team attended the WorCAP 2022, on September 13, 2022, with the presentation: “Earth Observation Data Cubes for Satellite Image Time Series Analysis”. The Applied Computing Workshop (WorCAP) is an event of the Graduate Program in Applied Computing (CAP) of the National Institute for Space Research (INPE). The event is …

Brazil Data Cube - 2019 - 2025