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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.

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:  Publisher:  Abstract Brazil is a country of continental scale area, with a territory of …

Landsat-8 Brazil mosaic

by BDC Team National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brasil DOI – https://doi.org Posted by Inpe | Published: May 2022 Overview Landsat-8/OLI is a mosaic generated and made available by the Brazil data Cube (BDC) project covering the entire national territory.The mosaic uses …

CBERS-4A Paraíba mosaic

by BDC Team National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brasil DOI – https://doi.org Posted by Inpe | Published: May 2022 Overview The CBERS-4A WFI – Paraíba is a mosaic generated and made available by the Brazil data Cube (BDC) project covering the entire …

Spatiotemporal segmentation of satellite image time series using self-organizing map

by B. L. C. Silva¹, F. C. Souza¹, K. R. Ferreira¹, G. R. Queiroz¹, and L. A. Santos¹ 1National Institute for Space Research (INPE), Brazil DOI: https://doi.org/10.5194/isprs-annals-V-3-2022-255-2022 Publisher: ISPRS | Published: 17 May 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract Nowadays, researchers have free access to an unprecedentedly …

An analysis of the influence of the number of observations in a random forest time series classification to map the forest and deforestation in the Brazilian Amazon

by L. S. Vieira¹, G. R. Queiroz¹, and E. H. Shiguemori² ¹Earth Observation and Geoinformatics Division, National Institute for Space Research, INPE, São José dos Campos 12227-010, Brazil²Surveillance and Reconnaissance Division, Institute for Advanced Studies, IEAv, São José dos Campos 12228-001, Brazil DOI: https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-721-2022 Publisher: ISPRS | Published: 30 May 2022 © Author(s) 2022. This work …

Building earth observation data cubes on aws

by K. R. Ferreira¹, G. R. Queiroz¹, R. F. B. Marujo¹, and R. W. Costa¹ 1National Institute for Space Research (INPE), Brazil DOI: https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-597-2022 Publisher: ISPRS | Published: 30 May 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract Image time series analysis and machine learning methods have been widely …

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 …

A platform for land use and land cover data integration and trajectory analysis

by Fabiana Zioti, Karine R.Ferreira, Gilberto R.Queiroz, Alana K.Neves, Felipe M.Carlos, Felipe C.Souza, Lorena A.Santos and Rolf E.O.Simoes 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/10.1016/j.jag.2021.102655 Publisher: ScienceDirect | Published: 18 December 2021. Abstract Information on land use and land cover (LULC) is essential …

Brazil Data Cube - 2019 - 2022