Utilizando o padrão SpatioTemporal Asset Catalog para visualização de dados.

by Thais de Medeiros¹, Bruno dos Santos¹, Gilberto Oliveira¹, Thales Korting², Gilberto de Queiroz²

¹Programa de Pós Graduação em Sensoriamento Remoto – Instituto Nacional de Pesquisas Espaciais (INPE) – São José dos Campos, SP – Brasil

²Divisão de Observação da Terra e Geoinformática – Instituto naional de Pesquisas Espaciai (INPE) – São José dos Campos, SP – Brasil

Publisher: Anais do 22º GEOINFO | Published: 2 December 2021

Abstract

The Brazil Data Cube project (BDC) is an initiative aiming at the production of the multidimentional data cube, analysis-ready data, through images obtainde by satellites. In addition to data products, the BDC also has systems created to facilitate access to its data collection. Among the services offered, the SpatioTemporal Asset Catalog (STAC) stands out, focused on cataloging image metadata form sensors. In this sense, this work produced datata visualization features from the STAC.py library. For viewing the BDC collections, a new class was created to render information in HTML format. They were used the Matplotlib, Earthpy, and Holoviews libraries, both for visualization of metadata sumarizations, as well as for visualization of images and histograms.

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Medeiros, T.; Santos, B.; Oliveira, G. E. T.; Korting, T. S.; Queiroz, G. R. Utilizando o padrão SpatioTemporal Asset Catalog para visualização de dados. In: BRAZILIAN SYMPOSIUM ON GEOINFORMATICS (GEOINFO). Proceedings XXII GEOINFO, November 29 to December 02, 2021, São José dos Campos, SP, Brazil. INPE, 2021. Online. ISSN 2179-4847.