Paper about the Brazil Data Cube Project

The article “Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products” has been published in Remote Sensing Journal as part of the Special Issue State-of-the-Art Remote Sensing in South America and is available online at:

See more publications of the Brazil Data Cube Project at

Source: Brazil Data Cube Project

Brazil Data Cube team attends at Brazilian Symposium on Geoinformatics – GEOINFO 2020

The Brazil Data Cube (BDC) project team from the National Institute for Space Research (INPE) attended in XXI Brazilian Symposium on Geoinformatics – GEOINFO 2020. The event was held virtually, from November 30 to December 03, 2020. The GEOINFO series is an annual conference for exploring ongoing research, development and innovative applications on geographic information science and related areas.

In this event, some team members presented their work related to the project.

In technical session 8, on December 2, Felipe Carlos, master’s student, together with Vitor Gomes, doctoral student, presented the work “Integration of the Brazil Data Cube and Open Data Cube environments” with Gilberto Queiroz, Karine Ferreira, Rafael Santos.

In the same session, Felipe Lucena presented the work “Brazil Data Cube Cloud Coverage (BDC³) Viewer” of his authorship with Elton Vicente Escobar-Silva, Rennan de Freitas Bezerra Marujo, Matheus Cavassan Zaglia, Lubia Vinhas, Karine Reis Ferreira, Gilberto Ribeiro de Queiroz.

The event also received the Prof. Dr. Gregory Giuliani, Institute for Environmental Sciences. University of Geneva, Switzerland, with the lecture “Big Data for Big Challenges: The Swiss Data Cube for Environmental Monitoring”.

Soon, proceedings will be available on the GEOINFO webpage.

Source: Brazil Data Cube Project

New publication from Brazil Data Cube project team

The BDC project team has just published a paper in the journal IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, about a new segmentation method based on a superpixel approach, entitled “Simple Non-Linear Iterative Temporal Clustering”

Access in (For now as Early Access).

To see others publications from BDC team access

Source: Brazil Data Cube Project.