Slide 1

Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.

The HARMONIZE Project and the EODCtHRS Architecture: An Earth Observation Data Cube tuned for Health Response Systems

by Adeline M. Maciel2, Marcos L. Rodrigues1, Yuri D. M. Nunes1, Luana B. da Luz1, Ana P. Dal’Asta1, Gilberto R. Queiroz1, Karine R. Ferreira1, Sidnei João S. Sant’Anna 1, Maria Isabel S. Escada1, Ana Claudia R. Vitor1, Christovam Barcellos3, Cláudia T. Codeço3, Diego R. Xavier3, Vanderlei P. de Matos3, Raphael de F. Saldanha3, Abner E. dos Anjos1, Fabiana Zioti1, Gabriel Sansigolo1, Raphael W. Costa1, Rennan F. B. Marujo1, Lubia Vinhas1, Rachel Lowe4,5, Antonio Miguel V. Monteiro1.

1National Institute for Space Research (INPE)

2Department of Science and Technology – Federal Rural University of the Semi-Arid

3Health Information Laboratory, Health Communication and Information

4Barcelona Supercomputing Center (BSC) – Barcelona – Spain5Catalan Institution for Research and Advanced Studies (ICREA) – Barcelona – Spain

GeoInfo: http://mtc-m21d.sid.inpe.br/col/sid.inpe.br/mtc-m21d/2023/12.20.11.08/doc/proceedings_red_compressed.pdf

Publisher: GeoInfo | Published in 06 December 2023

Abstract

The HARMONIZE project, coordinated by the Barcelona Supercom-puting Center, aims to create a digital infrastructure for health data integrationand climate analysis in Latin America & the Caribbean. It includes a dataplatform, a climate module, and software toolkits to explore the data. This pa-per presents EODCtHRS, an instance of the Brazil Data Cube Platform, namedHARMONIZE Instance, which accommodates data collected by drones in healthoriented field missions, local and regional health data, and data from in-situweather stations and climate models. The article presents the architecture ofEODCtHRS, its current stage of development and planned versions.

Keywords: Earth Observation Data Cubes, Sample Analysis, Machine Learning, Land Use and, Land Cover Classification

Share and Cite

Adeline M. Maciel, Marcos L. Rodrigues, Yuri D. M. Nunes, Luana B. da Luz, Ana P. Dal’Asta, Gilberto R. Queiroz, Karine R. Ferreira, Sidnei João S. Sant’Anna, Maria Isabel S. Escada, Ana Claudia R. Vitor, Christovam Barcellos, Cláudia T. Codeço, Diego R. Xavier, Vanderlei P. de Matos, Raphael de F. Saldanha, Abner E. dos Anjos, Fabiana Zioti, Gabriel Sansigolo, Raphael W. Costa, Rennan F. B. Marujo, Lubia Vinhas, Rachel Lowe, Antonio Miguel V. Monteiro. The HARMONIZE Project and the EODCtHRS Architecture: An Earth Observation Data Cube tuned for Health Response Systems (GEOINFO-2023), 122 – 133. Proceedings XXIV GEOINFO, December 04 to 06, 2023, São José dos Campos, SP, Brazil. INPE, 2023. ISSN 2179-4847. http://mtc-m21d.sid.inpe.br/col/sid.inpe.br/mtc-m21d/2023/12.20.11.08/doc/proceedings_red_compressed.pdf

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