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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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BDC Explorer

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Sentinel-2 image Mosaic of Brazilian Paraiba State – 3 Months

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/10.52169/UAZM9531 Posted by Inpe | Published: May 2022 Overview An image mosaic of the Sentinel-2 images covering the Paraíba State in Brazil. It was created from a Sentinel-2 data cube, with …

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Landsat Image Mosaic of Brazil – 6 Months

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/10.52169/VNFU3068 Posted by Inpe | Published: May 2022 Overview An image mosaic of the Landsat-8 images covering Brazil. It was created from a Landsat-8 data cube, with 30 meters of spatial …

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CBERS-4A/WFI Image Mosaic of Brazil Paraíba State – 3 Months

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/10.52169/LTCE9643 Posted by Inpe | Published: May 2022 Overview An image mosaic of the CBERS-4A images covering the Paraíba State in Brazil. It was created from a CBERS-4A data cube, with …

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CBERS-4/WFI Image Mosaic of Brazil – 3 Months

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/10.52169/HQWD4314 Posted by Inpe | Published: May 2022 Overview An image mosaic of the CBERS-4 images covering the Paraíba State in Brazil. It was created from a CBERS-4 data cube, with …

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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 …

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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 …

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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 …

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Participate in the demonstration of the data and software products of the BDC project in the Workshop “Agro: Technologies and Spatial Applications”

The Brazil Data Cube project team will demonstrate their data and software products at the Workshop “Agro: Technologies and Space Applications” and will take place on May 24, 2022, at the SENAI Events Center Cuiabá, MT, with an opening ceremony scheduled for 8:00 am. The event is idealized by the Brazilian Space Agency and organized …

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Presentation today about the BDC project at UFOP, MG.

The BDC team will present today, the 14th, at 3:00 pm, the computational platform, data products and software that are being developed in the project using artificial intelligence, machine learning and image time series analysis, to the TerraLAB research group from the Federal University of Ouro Preto. TerraLAB is the laboratory for Modeling and Simulation …

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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 …

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Brazil Data Cube - 2019 - 2024