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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.

About 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.

The data sets produced in the BDC project include collections of analysis-ready data (ARD), multidimensional data cubes and mosaics from images of the CBERS-4/4A, Sentinel-2 and Landsat-8 satellites. The computational platform is composed of web services, software applications and iterative computing environments. Using artificial intelligence, machine learning, and image time series analysis, land use and land cover maps are being produced from these data cubes.

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 .

Brazil Data Cube Platform

plataforma brazil data cube

The Brazil Data Cube project has four main objectives:


Create analysis-ready data sets from medium-resolution remote sensing images (10 to 30 meters) for all Brazilian territory, including images from the Earth observation satellites Landsat, CBERS and Sentinel;

Use, propose and develop novel methods and big data technologies to store and process these data cube sets and to analyze and extract land use and cover information from them using satellite image time series analysis, machine learning and image processing procedures;

Model these analysis-ready data sets as multidimensional data cubes with three or more dimensions that include space, time and properties;

Create land use and cover information for Brazil using the data cubes and methods developed in this project.

Follow the development of project technologies in Github and the data cubes generated by the BDC portal.

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 …

Project activity report

Brazil Data Cube project activity report – January 2020 to May 2021

by Abner Ernani dos Anjos, Alana Kasahara Neves, Alber Hamersson Sánchez Ipia, Carlos Alberto Ferreira de Noronha, Claudinei de Camargo, Fabiana Zioti, Felipe Carvalho de Souza, Felipe Menino Carlos, Gabriel Sansigolo, Gilberto Ribeiro de Queiroz, Jeferson de Souza Arcanjo, Karine Reis Ferreira Gomes, Lorena Alves dos Santos, Luciana Mamede dos Santos, Raphael Willian da Costa, Rennan …

Associated publications

Measuring Brazil from space: and artificial intelligence technologies

by Karine Reis Ferreira, Gilberto Ribeiro de Queiroz Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, SP, Brasil. DOI: http://dx.doi.org/10.5380/atoz.v10i3.81966 Publisher: Web magazine AtoZ | Published: 4 September 2021 Abstract Dr. Karine Reis Ferreira and Dr. Gilberto Ribeiro de Queiroz from Instituto Nacional de Pesquisas Espaciais (INPE) answers questions about big data technology and artificial intelligence, …

Brazil Data Cube - 2019 - 2024