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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.

Brazil Data Cube Cloud Coverage (BDC³) Viewer

by Felipe Rafael de Sá Menezes Lucena, Elton Vicente Escobar-Silva, Rennan de
Freitas Bezerra Marujo, Matheus Cavassan Zaglia, Lubia Vinhas, Karine Reis
Ferreira and Gilberto Ribeiro de Queiroz

Earth Observation and Geoinformatics Division, National Institute for Space Research
(INPE), São José dos Campos – SP – 12227-010 – Brazil

Publisher: Anais do 21º GEOINFO | Published: 3 December 2020


Remotely sensed Earth Observation (EO) data have exceeded a large scale and are increasingly available for different communities and thematic applications. In this matter, EO Data Cubes (EODC) are a promising solution to efficiently manage big EO data, enabling its access, processing and analysis. As final products, EODC provides analysis-ready data (ARD) for vegetation and land use and land cover (LULC) studies, for environmental monitoring urban growth studies, among others. One of the most used preselection criteria for image retrieval of big EO data is the average cloud cover statistic. This paper describes our initiative in the implementation of an ondemand view-based tool for cloud coverage embedded on the Brazil Data Cube (BDC) project based on the SpatioTemporal Asset Catalog (STAC).


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Lucena, F. R. S. M.; Escobar Silva, E. V.; Marujo, R. F. B.; Zaglia, M. C.; Vinhas, L.; Ferreira, K. R.; Queiroz, G. R. Brazil Data Cube Cloud Coverage (BDC³) Viewer. Em: SIMPÓSIO BRASILEIRO DE GEOINFORMÁTICA (GEOINFO). Anais do 21o. GEOINFO, 30 de novembro a 3 de dezembro de 2020, São José dos Campos, SP, Brazil. INPE, 2020. Online. ISSN 2179-4847. In press.

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