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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 453 - 471 (19page)
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초록· 키워드
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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did not often reflect the real topography of areas of operations since the past imagery was used, e.g., imagery outdated 1 to 3 years.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.
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.
목차
ABSTRACT
Ⅰ. 서론
Ⅱ. 연구지역
Ⅲ. 연구자료 및 연구방법
Ⅳ. 연구결과
Ⅴ. 결론
참고문헌
참고문헌 (27)
참고문헌 신청
김동환 / 2021 / 능동센서 기반 라이다(LiDAR)기술의 원리와 활용동향 소개 / 국방과 기술 (505):154~159
BBC / Laos dam collapse: Many feared dead as floods hit villages
Boni, G. / 2016 / A prototype system for flood monitoring based on flood forecast combined with COSMO-SkyMed and Sentinel-1 data / IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9(6):2794~2805
Cazals, C. / 2016 / Mapping and characterization of hydrological dynamics in a coastal marsh using high temporal resolution Sentinel-1A images / Remote Sensing 8(7):570
Chang, C. -H. / 2020 / Hindcast and forecast of daily inundation extents using satellite SAR and altimetry data with rotated empirical orthogonal function analysis : Case study in Tonle Sap Lake Floodplain / Remote Sensing of Environment 241:111732
BBC / Laos dam collapse: Many feared dead as floods hit villages
Boni, G. / 2016 / A prototype system for flood monitoring based on flood forecast combined with COSMO-SkyMed and Sentinel-1 data / IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9(6):2794~2805
Cazals, C. / 2016 / Mapping and characterization of hydrological dynamics in a coastal marsh using high temporal resolution Sentinel-1A images / Remote Sensing 8(7):570
Chang, C. -H. / 2020 / Hindcast and forecast of daily inundation extents using satellite SAR and altimetry data with rotated empirical orthogonal function analysis : Case study in Tonle Sap Lake Floodplain / Remote Sensing of Environment 241:111732
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