Widya Eka Prativi and Kurnia Robiansyah and Ali Syahputra Nasution and Ayom Widipaminto and Wismu Sunarmodo (2018) Information System of Remote Sensing Data Provisioning for Disaster Management. In: The 4th International Conference of Indonesian Society for Remote Sensing, 30 October 2018, Makassar, Indonesia.
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Abstract
Either predictable or unpredictable disasters are one of problems that are often faced in Indonesia. Indonesia is a disaster pronecountry due to its location between the three plates of the world, and in the ring area of fire. The disaster cycle is divided into four parts, namely: emergency response, recovery, prevention, mitigation, and preparedness. To cover the disaster cycle, the use of remote sensing data can be a solution. This research aims to provide solution for Ministries/Institutions, Army/Police, and Educational Institutions to get remote sensing data related to disaster areas easily, quickly, and accurately through information system. Users who need data just log in to the system, request the data needed through the website that can be accessed online, then the system will provide information via email notification to user when data is available and can be downloaded. User who have received remote sensing data can utilize the data by processing it into disaster information that is uploaded back into the system as a trigger. The method used in this research is a descriptive method which is a method that only describes and summarizes va various variables to be collected into data that can support the d system.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Publikasi Non LAPAN IOP Conference Series: Earth and Environmental Science |
Uncontrolled Keywords: | Disaster, Information System, Remote Sensing Data |
Subjects: | Taksonomi LAPAN > Teknologi Penginderaan Jauh > Penelitian, Pengkajian, dan Pengembangan > Teknologi dan Data Penginderaan Jauh > Perolehan Data > Satelit |
Divisions: | LAPAN > Deputi Penginderaan Jauh > Pusat Teknologi dan Data Penginderaan Jauh |
Depositing User: | Administrator Repository |
Date Deposited: | 08 Apr 2021 10:39 |
Last Modified: | 19 Jul 2022 08:57 |
URI: | https://karya.brin.go.id/id/eprint/11489 |