근실시간 국방 기반GEOINT 구축을 위한 위성영상 획득 및 처리기술 발전방향 : 라오스 세피안 세남노이 댐 붕괴에 따른 홍수 지역 변화탐지를 중심으로 (Toward developing satellite imagery acquisition and processing techniques for monitoring near real-time defense foundation GEOINT : A case study for inundation mapping of Xe Pian Xe Namnoy Dam Collaps)

서지정보

· 발행기관 : 육군사관학교 화랑대연구소
· 수록지 정보 : 한국군사학논집 / 77권 / 3호 / 453 ~ 471페이지
· 저자명 : 김동환

초록

In this paper, we have suggested the approach of satellite imagery acquisition and processing techniques to build Foundation Geospatial-intelligence (FG) in the defense field. FG indicates the basis of GEOINT which is the combination of the seven major geospatial information : aeronautical, maritime, topographic, elevation, human geography, geographic names and boundaries, and geodetic (NGA 2018). Previously, the FG in military has been considered as static maps which mean unchanged topography. Consequently, the FG used in the military did not often reflect the real topography of areas of operations since the past imagery was used, e.g., imagery outdated 1 to 3 years. To monitor and identify the enemy and their locations, information should be overlaid on the accurate FG. Therefore, the accurate and up-to-date FG is a critical factor for the success of military operations.
In this paper, we monitored and estimated the inundated areas caused by the Xe Pian Xe Namnoy Dam Collapse (2018) in Laos using the open-source imagery, European Space Agency’s Sentinel-1A Synthetic Aperture Radar (SAR) data. We have successfully monitored and identified the inundated areas in the case of the flash flood event. This implies that even though SAR data provides information of medium-spatial resolution (∼ tens of meters), it could provide critical and important information owing to its relatively higher temporal resolution. For example, SAR satellites can identify the inundated areas of maneuvering routes, capture the boundary between land and sea caused by tides in the West Sea, and monitor the land use land cover classification in North Korea. In the use of this approach, we expect that more up-to-date and accurate data can be produced and proliferated for defense GEOINT and FG purposes.

영어초록

In this paper, we have suggested the approach of satellite imagery acquisition and processing techniques to build Foundation Geospatial-intelligence (FG) in the defense field. FG indicates the basis of GEOINT which is the combination of the seven major geospatial information : aeronautical, maritime, topographic, elevation, human geography, geographic names and boundaries, and geodetic (NGA 2018). Previously, the FG in military has been considered as static maps which mean unchanged topography. Consequently, the FG used in the military did not often reflect the real topography of areas of operations since the past imagery was used, e.g., imagery outdated 1 to 3 years. To monitor and identify the enemy and their locations, information should be overlaid on the accurate FG. Therefore, the accurate and up-to-date FG is a critical factor for the success of military operations.
In this paper, we monitored and estimated the inundated areas caused by the Xe Pian Xe Namnoy Dam Collapse (2018) in Laos using the open-source imagery, European Space Agency’s Sentinel-1A Synthetic Aperture Radar (SAR) data. We have successfully monitored and identified the inundated areas in the case of the flash flood event. This implies that even though SAR data provides information of medium-spatial resolution (∼ tens of meters), it could provide critical and important information owing to its relatively higher temporal resolution. For example, SAR satellites can identify the inundated areas of maneuvering routes, capture the boundary between land and sea caused by tides in the West Sea, and monitor the land use land cover classification in North Korea. In the use of this approach, we expect that more up-to-date and accurate data can be produced and proliferated for defense GEOINT and FG purposes.

참고자료

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