Using Remote Sensing Images and Cloud Services on Aws to Improve Land Use and Cover Monitoring
by K. R. Ferreira; G. R. Queiroz; G. Camara; R. C. M. Souza; L. Vinhas; R. F. B. Marujo; R. E. O. Simoes; C. A. F. Noronha; R. W. Costa; J. S. Arcanjo; V. C. F. Gomes; M. C. Zaglia
Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brazil
Publisher: IEEE Explorer | Published: 12 August 2020
Published in: 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)
The Brazilian National Institute for Space Research (INPE) produces official information about deforestation as well as land use and cover in the country, based on remote sensing images. The current open data policy adopted by many space agencies and governments worldwide provided access to petabytes of remote sensing images. To properly deal with this vast amount of images, novel technologies have been proposed and developed based on cloud computing and big data systems. This paper describes the INPE’s initiatives in using remote sensing images and cloud services of the Amazon Web Services (AWS) infrastructure to improve land use and cover monitoring.
Keywords: Cloud Computing, Remote sensing images, land use and cover monitoring, Amazon Web Service (AWS)