Integration Review of National Remote Sensing Ground Station Based on Virtual Ground Station by Full Remote and Nearly Automation

Ali Syahputra Nasution and Nurmajid Setyasaputra and Wismu Sunarmodo and Hidayat Gunawan and Ayom Widipaminto (2019) Integration Review of National Remote Sensing Ground Station Based on Virtual Ground Station by Full Remote and Nearly Automation. In: The 4th International Conference of Indonesian Society for Remote Sensing 2018, 30-31 October 2018, Makassar, Indonesia.

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Abstract

National Institute of Aeronautics and Space (LAPAN) has long experience in Remote Sensing Ground Station operation, so that it is able to carry out its development and operation
independently. LAPAN’s Remote Sensing has also received support from the government especially with the Roadmap, Law, and Government Regulation. Therefore, in accordance with
the mandate of LAPAN in this matter represented by Technology and Data Center of Remote Sensing is required to make list, guidance, and supervision in development and operation of
remote sensing ground station in Indonesia. The next stage to do is to integrate LAPAN’s Ground Station with all or some Remote Sensing Ground Stations operated by other Indonesian
Ministries/Institutions in receiving remote sensing satellite data of low and medium resolution. It will use fully remote and nearly automation method in Remote Sensing Ground Station
development, such as acquisition, processing and reporting stages Therefore, it is not necessary for operators in the ground station, so that it can be developed and operated optimally and
efficiently according to the government's mandate

Item Type: Conference or Workshop Item (Paper)
Additional Information: IOP Conference series Earth and Environmental Science Vol.280
Uncontrolled Keywords: : Integration, Ground Station, Remote Sensing, National, Virtual.
Subjects: Taksonomi LAPAN > Teknologi Penginderaan Jauh > Pengelolaan dan Pengembangan > Pengoperasian Stasiun Bumi
Divisions: LAPAN > Deputi Penginderaan Jauh > Pusat Teknologi dan Data Penginderaan Jauh
Depositing User: Administrator Repository
Date Deposited: 30 Apr 2021 04:51
Last Modified: 19 Jul 2022 08:30
URI: https://karya.brin.go.id/id/eprint/11663

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