Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing-Reference-Cited by-同舟云学术

Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing

Published:2024-02-09 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Gomes Vitor C. F.¹,Queiroz Gilberto R.²,Ferreira Karine R.²,Pebesma Edzer³,Barbosa Claudio C. F.²

Affiliation:

1. C4ISR Division, Institute for Advanced Studies (IEAv), São José dos Campos, Brazil

2. Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil

3. Institut für Geoinformatik, Westfälische Wilhelms-Universität, Münster, Germany

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Brazilian Development Bank

Foundation for Science, Technology and Space Applications

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2313099

Reference41 articles.

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2. The Apache Software Foundation. July 2022. “Apache Airflow.” Accessed July 20 2022. https://airflow.apache.org/.

3. Argo. July 2022. “Argo Project.” Accessed July 20 2022. https://argoproj.github.io/.

4. Bargnesi Anthony Anselmo DiFabio William Hayes Georgiy Shibaev Cristophe Benz Hugh Pyle Erik Dao and Travis Giggy. July 2022. “JSON Graph Format (JGF).” Accessed July 20 2022. https://jsongraphformat.info/.

5. Remote sensing technology and land use analysis in food security assessment