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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.

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What is Brazil Data Cube?

Brazil Data Cube is a research, development and technological innovation project of the National Institute for Space Research (INPE), Brazil. It is producing data sets from big volumes of medium-resolution remote sensing images for the entire national territory and developing a computational platform to process and analyze these data sets using artificial intelligence, machine learning and image time series analysis.

Brazil Data Cube is part of the “Environmental Monitoring of Brazilian Biomes project“, funded by the Amazon Fund through the financial collaboration of the Brazilian Development Bank (BNDES) and the Foundation for Science, Technology and Space Applications (FUNCATE) no. 17.2.0536.1 .

Video: Overview of the Brazil Data Cube project.

Recent news


The BDC team will attend the Workshop for the GEO Wetlands Initiative

The Brazil Data Cube and SABERES project teams will present their joint initiatives to produce Sentinel 1 data cubes and to extract water bodies from them using machine learning at Virtual Ideation Workshop for the GEO Wetlands Initiative, tomorrow, May 11, 2022. The event is organized by the Group on Earth Observations (GEO), an international …

Earth observation data cubes for Brazil on AWS as Open Data

From January 2022, the Earth observation data cubes produced by the Brazil Data Cube project are available on AWS (Amazon Web Service) as Open Data. These data cubes are produced from Analysis-Ready Data (ARD) of CBERS-4, Sentinel-2 and Landsat-8 satellite images for the entire region of Brazil. Based on a hierarchical tiling system, the data …

Paper published by the Brazil Data Cube team

The BDC project team published the paper “A platform for land use and land cover data integration and trajectory analysis” in the International Journal of Applied Earth Observation and Geoinformation (Impact Factor: 5.9). The paper presents a platform that allows users to access land use and land cover (LULC) collections from distinct sources, map their …

The BDC team presents the results in using the AWS computing environment to process big Earth observation data

The BDC team will present the results in using the AWS computing environment to process big Earth observation data in the session “Share lessons learned from the effort to democratize access to Earth Observations and computing environments for developing countries in support of sustainable development” in the GEO-AWS EO Cloud Credits side-event of the GEO …

BDC team will attend FOSS4G 2021’s Indigenous Hackathon by GEO

On October 1-2, 2021, the BDC team will attend the Indigenous Hackathon by the Group on Earth Observations (GEO). A hackathon by and for Indigenous communities, at FOSS4G (Free and Open Source Software for Geospatial) 2021 conference. The FOSS4G conference is the premier international event dedicated to presenting new developments in open-source software for geospatial …

Virtual hands-on training on sits at FOSS4G 2021 conference

On September 27th, 2021, Dr Gilberto Camara, one of the members of the BDC team, will conduct virtual hands-on training on the classification of remote sensing image time series using the R package software for Satellite Image Time Series (sits) at FOSS4G (Free and Open Source Software for Geospatial) 2021 conference. The FOSS4G conference is …

Data Products

Surface reflectance image collections, multidimensional data cubes, mosaics and classifications, and land cover and use samples

Software Products

Web Services, Interactive Computing Environment and Applications

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Brazil Data Cube project reference paper


Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products – En

by Karine R. Ferreira,Gilberto R. Queiroz,Lubia Vinhas,Rennan F. B. Marujo,Rolf E. O. Simoes,Michelle C. A. Picoli,Gilberto Camara,Ricardo Cartaxo,Vitor C. F. Gomes,Lorena A. Santos,Alber H. Sanchez,Jeferson S. Arcanjo,José Guilherme Fronza,Carlos Alberto Noronha,Raphael W. Costa,Matheus C. Zaglia,Fabiana Zioti,Thales S. Korting,Anderson R. Soares,Michel E. D. Chaves andLeila M. G. Fonseca Earth Observation and Geoinformatics Division, National Institute for Space Research …

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Brazil Data Cube - 2019 - 2022