Automatic Aura Remote Sensing Satellite Data Acquisition System

Olivia Maftukhaturrizqoh and Budhi Gustiandi (2019) Automatic Aura Remote Sensing Satellite Data Acquisition System. In: The Fifth International Conference of Indonesian Society forRemoteSensing(ICOIRS) and MAPIN Congress, 17-20 September 2019, ITENAS Bandung.

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Abstract

Aura is one of National Aeronautics and Space Administration (NASA) Earth Observing System (EOS) satellite series. It measures aerosols, ozone, and other gases from space to gain knowledge about the chemistry of our atmosphere. Although it was launched on 15 July 2004, there is still no system available to acquire its data and products specifically for Indonesian region. Scientists usually download the data through Goddard Earth Science (GES) Data and Information Services Center (DISC) or NASA Langley Atmospheric Sciences Data Center manually if they need them. An automatic data acquisition system was established to obtain Aura satellite data in near real-time. The system includes storage management sub system that mimics the data management system in GES DISC. Selenium package in Python programming language was used to program the automatic acquisition through browser crawling and bash shell scripting was used to build the storage management sub system. Analysis of system time in acquiring the data will be done to ensure that the system fulfill the near real-time criteria. Further, analysis of the data volume will also be taken to calculate how many storage that will be required to store the data. In the end, the system will be integrated into low-resolution remote sensing satellite data processing system that is already available in Remote Sensing Technology and Data Center, National Institute of Aeronautics and Space (LAPAN).

Item Type: Conference or Workshop Item (Paper)
Additional Information: Tema : The Revolution of Earth Observation for a Better Huma Life, vol.2 ISBN 978-623-7525-15-8
Uncontrolled Keywords: Aura, Remote sensing, data
Subjects: Teknologi Penginderaan Jauh > Penelitian, Pengkajian, dan Pengembangan > Teknologi dan Data Penginderaan Jauh > Perolehan Data > Satelit
Divisions: Deputi Penginderaan Jauh > Pusat Teknologi dan Data Penginderaan Jauh
Depositing User: Dinar Indrasasi
Date Deposited: 21 Jun 2021 00:28
Last Modified: 21 Jun 2021 00:28
URI: http://repositori.lapan.go.id/id/eprint/837

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