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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.

Using Earth Observation Data Cube to Mapping Burned Areas

by Mateus de Souza Macul¹, Wesley Campanharo¹, Fabiano Morelli¹, Gilberto Ribeiro de Queiroz¹, Karine Reis Ferreira¹ 1National Institute for Space Research (INPE), Brazil GeoInfo: http://mtc-m21d.sid.inpe.br/rep/8JMKD3MGP3W34T/488BPNL Publisher: GeoInfo | Published: 29 November 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract Earth observation data cubes are multidimensional structures created from Analysis-Ready …

Integranting Analysis Methods During Land Use and Land Cover Sampling

by Abner Ernâni dos Anjos¹, Karine Reis Ferreira¹, Gilberto Ribeiro de Queiroz¹, Fabiana Zioti ¹, Gabriel Sansigolo¹ 1National Institute for Space Research (INPE), Brazil GeoInfo: http://mtc-m21d.sid.inpe.br/rep/8JMKD3MGP3W34T/488BPNL Publisher: GeoInfo | Published: 29 November 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract The Land Use and Land Cover (LULC) mapping …

Brazil Data Cube team attends at Brazilian Symposium on Geoinformatics (GEOINFO 2022)

The Brazil Data Cube project team attends the XXIII Brazilian Symposium on GeoInformatics (GEOINFO 2022) that is happening at INPE (National Institute for Space Research) this week.  The BDC team taught the mini course “Brazil Data Cube – Earth Observation Data Cubes and Image Time Series Analysis” to 28 symposium participants. The event started yesterday, 28th and runs …

Training for the Specialists in Geocontrol from the Federal Audit Court – Brazil on the technologies and potential of using BDC, PRODES and DETER

On October 3, the Brazil Data Cube project, together with the coordinators of Prodes and Deter, delivered a training module for the Training of Specialists in Geocontrol at the Federal Court of Accounts – Brazil (TCU). The training was focused on demonstrating to TCU specialists the technologies and potential of the Brazil Data Cube Platform, …

Brazil Data Cube – EO Data Products and Innovative Software Technologies, an overview for The Nature Conservancy

The Brazil Data Cube project presented last September 22, an overview of the data products and software technologies developed in the project in the Earth Observation Lunch and Learn, organized by TNC Earth Observation working group. The Nature Conservancy is a global environmental nonprofit working to create a world where people and nature can thrive. …

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 …

Generating analysis ready data collections for Brazil

by Rennan F. B. Marujo¹, Karine R. Ferreira¹, Gilberto R. Queiroz¹, Raphael W. Costa¹, Jeferson S. Arcanjo¹, Ricardo C. M. Souza¹ National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brazil DOI: https://doi.org/10.1109/IGARSS46834.2022.9884104 Publisher: IEEE  | 28 September 2022 Abstract Brazil is a country of continental scale area, …

The BDC team provided training on its data and software products this week

This week, from 08/29/2022 to 09/02/2022, the Brazil Data Cube (BDC) team provided training on the project’s data and software products. The training lasted 20 hours, with practical parts using Python and R programming languages through jupyter notebooks in a Kaggle environment and had the participation of 58 researchers and fellows from INPE and some …

Brazil Data Cube - 2019 - 2025