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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

Data cube composed of CBERS-4 and CBERS-4A images

The Brazil Data Cube project team launches a new experimental data cube from Brazil with surface reflectance images from the WFI sensors aboard the CBERS-4 and CBERS-4A satellites, with 64 meters of spatial resolution and temporal composition of 8 days. Its timeline starts in January 2020. This product can be visualized and downloaded via browser …

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 Explorer 3.0

The BDC team is pleased to announce the new release of the Brazil Data Cube Explorer! This new version introduces enhanced features to access and visualize image time series from Earth observation data cubes and land use and land cover trajectory data sets.  Please, see the video about its main features and visit it at …

BDC team attended the IGARSS 2022 last week presenting one paper

The BDC team attended last week the International Geoscience and Remote Sensing Symposium (IGARSS 2022), presenting the paper “GENERATING ANALYSIS READY DATA COLLECTIONS FOR BRAZIL”. The paper presents the BDC Collection Builder: an application for Earth observation satellite images acquisition and processing to produce Analysis Ready Data. Access the poster here and the paper will be …

BDC in the conference “Using Big Data and Machine Learning for Land Cover and Land Use Mapping: Challenges to Mapping Accuracy”

The BDC team will present “Brazil Data Cube – Big Earth observation data modeled as multidimensional cubes, machine learning and image time series analysis” at the conference “Using Big Data and Machine Learning for Land Cover and Land Use Mapping: Challenges to Mapping Accuracy” to be held on July 5, 6 and 7, from 11:00h …

BDC team attended the XXIV ISPRS Congress 2022 last week presenting three papers

The BDC team attended the International Society for Photogrammetry and Remote Sensing Congress (XXIV ISPRS 2022), presenting three papers. The first paper “Building Earth Observation Data Cubes on AWS” describes an application for building EO data cubes on the Amazon Web Service (AWS) cloud computing environment. The second paper “Spatiotemporal Segmentation of Satellite Image Time …

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