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Aerial photo database model of Indonesia's national territory in a Geospatial intelligence perspective.
- Source :
-
Journal of Applied & Natural Science . 6/1/2024, Vol. 16 Issue 2, p637-645. 9p. - Publication Year :
- 2024
-
Abstract
- The National Aerial Photo Database is a collection of aerial photographs obtained through aerial photography using specific cameras or sensors with manned or unmanned aerial vehicles across the territory of the Republic of Indonesia. These photographs are stored in a computer system for easy access, management, and updating. No national aerial photo database system currently meets the need for accurate and complete aerial photos and other geospatial information to support decision-making. The present study aimed to develop a model for the National Aerial Photo Database from a geospatial intelligence perspective based on statutory regulations. The collection of aerial photo data in a centralized database commenced with scanning negative film based on location and flight paths and copying all digital data. The original negative films were scanned at 20 µm resolution in a Vexcel Ultrascan 5000 photogrammetry scanner. The resulting size of one scanned photo is 140 Mb to 160 Mb. This research adopts a qualitative research method with a case study approach. This research involved the electronic implementation of geospatial data and information by utilizing Geographic Information System (GIS) software, image and geospatial information data management, and the Scrum framework. This research concluded that geospatial intelligence efforts can better understand activity patterns, infrastructure development, and potential threats in the national territory. The insights gained from the aerial photo database aid in identifying trends, detecting anomalies, and assessing risks, all of which are critical for better decisionmaking in national security. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09749411
- Volume :
- 16
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Applied & Natural Science
- Publication Type :
- Academic Journal
- Accession number :
- 178345170
- Full Text :
- https://doi.org/10.31018/jans.v16i2.5468