Plataforma para Análise e Visualização de Grandes Volumes de Dados Geoespaciais
Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.
Between November 25th and 29th, the Georeferenced Information Base Program (BIG) of INPE/MCTI held a workshop for the SISAM – Integrated Environmental Information System for Health project team. This project is the result of a partnership between INPE’s Fire Monitoring Program and the Ministry of Health, with the involvement of the technical team from the …
The technologies, tools and products from Brazil Data Cube (BDC) were presented at the 8th Symposium on Geotechnologies in Pantanal, held on November 11th and 13th, 2024, at the SESC Pantanal in the municipality of Poconé, Mato Grosso – MT. The event brought together experts and students to discuss the use of geotechnologies in Pantanal …
Continue reading “Brazil Data Cube joined the 8th Pantanal Geotechnology Symposium (GeoPantanal)”
The Brazil Data Cube (BDC) team gave a course on Earth observation data cube concepts and remote sensing image time series analysis at the ISPRS Technical Commission III Mid-term Symposium on Remote Sensing, on November 4 in Belém (PA). The ISPRS Technical Commission is dedicated to discussing remote sensing technologies and applications. The symposium, which …
During the week of June 17-21, 2024, the Brazil Data Cube (BDC) project team conducted a course for professionals, including interpreters, auditors, and developers, from the Satellite Monitoring Program of Brazilian Biomes (BiomasBR) of the National Institute for Space Research (INPE). This course took place at the LabGeo Laboratory from Division of Earth Observation and …
Continue reading “Training of the Brazil Data Cube Platform for the BiomasBR Team”
The article “Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing” was published this week in the journal “International Journal of Digital Earth” by the Brazil Data Cube project team in partnership with the University of Munster, Germany, and the LabISA/DIOTG Laboratory. The article demonstrates the advances in research and development …
This week, from November 21st to 25th, 2023, the XIII Remote Sensing Education Journey within Mercosur is taking place at the Normal Superior School, State University of Amazonas, in Manaus, Amazonas, Brazil. On the first day of the event, November 21st, the BDC team conducted the course ‘Earth Observation Data Cubes and Analysis of Temporal …
The new paper “Improving crop mapping in Brazil’s Cerrado from a data cubes-derived Sentinel-2 temporal analysis”, published by the researchers Michel Chaves and Ieda Sanches, highlights the use of the Brazil Data Cube Platform for agricultural area mapping in Brazil. Based on spectral indices extracted from Sentinel-2/MSI satellite data cubes with temporal resolution of five …
Continue reading “Brazil Data Cube platform for crop mapping”
The BDC team participated in the discussions and presented the project’s solutions at the “TerraClass Brazil” Workshop – Mapping Land Cover and Land Use in Brazil, held on October 16th and 17th at IBGE in Rio de Janeiro. The objective of the workshop was to gather experts in geotechnologies to devise the best organizational and …
Continue reading “BDC participated in the “TerraClass Brazil” Workshop.”
The BDC team presented the project at “Webinar 3: ODC Use Cases”, at the “Capacity Program event Strengthening Geospatial Capacities in the Caribbean” that took place on June 27, 2023, remotely. The presentation “Accessing and Processing Brazilian Earth Observation Data Cubes with the Open Data Cube Platform” demonstrated the integration between the Brazil Data Cube …
The BDC team presented the project in the Land & Carbon Lab’s 2023 Summit – Monitoring Land, Mobilizing Action, which took place June 27-29, 2023, in Brussels, Belgium. The data and software products developed in the project for land use and land cover mapping using image time series analysis and artificial intelligence were presented in …