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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

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 …

Brazil Data Cube team will present a mini-course at WorCAP 2021

The Brazil Data Cube (BDC) project team will present on September 15th, 2021, the mini-course: “Introduction to STAC and WTSS” within the WorCAP 2021. The 04-hour mini-course aimed to present an introduction to the concepts of time series and data cubes, as well as how to use, through Python language, the services Spatio Temporal Asset …

Brazil Data Cube team will attend the GISFOREST Workshop

The BDC team will present the project in the International Workshop on Forest Geotechnologies (GISFOREST), on September 1st. GISFOREST is an event of innovations in geotechnologies for forest applications. This is the second edition and will take place online, from August 31st to September 2nd. The registrations can be made on the event website. Source: …

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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