Application and Analysis of Remote Sensing Data for Disaster Management in Korea - Focused on Managing Drought of Reservoir Based on Remote Sensing - |
Kim, Seongsam
(Disaster Scientific Investigation Division, National Disaster Management Research Institute)
Lee, Junwoo (Disaster Information Research Division, National Disaster Management Research Institute) Koo, Seul (Disaster Scientific Investigation Division, National Disaster Management Research Institute) Kim, Yongmin (Defense AI Technology Center, Agency for Defense Development) |
1 | Kim, S., Y. Yoon, Y. Jeong, C. Kwon, K. Seo, and Y. Lee, 2022. Analysis of Burned Areas in North Korea Using Satellite-based Wildfire Damage Indices, Korean Journal of Remote Sensing, 38(6-3): 1861-1869 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.10 DOI |
2 | Kim, W.-Y., J.-H. Jeong, and M.-H. Choi, 2022. Evaluation of Reservoir Monitoring-based Hydrological Drought Index Using Sentinel-1 SAR Waterbody Detection Technique, Korean Journal of Remote Sensing, 38(2): 153-166 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.2.2 DOI |
3 | Lee, K.-L. and C.-H. Lim, 2022. Analysis of the Surface Urban Heat Island Changes according to Urbanization in Sejong City Using Landsat Imagery, Korean Journal of Remote Sensing, 38(3): 225-236 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.3.1 DOI |
4 | Jeon, W.-H. and J.-H. Yi, 2021. Observation of Ground Subsidence in Bangkok, Thailand Using PSInSAR Technique, Korean Journal of Remote Sensing, 37(6-1): 1625-1630 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.6.1.11 DOI |
5 | Jeong, J.H., W. Hwang, and K. Pyo, 2022. Explorative Study on Movement Patterns in a Uljin-gun and Samcheok-si Wildfire Event, Korean Journal of Remote Sensing, 38(6-3): 1805-1815 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.5 DOI |
6 | Jung, Y., J. Hong, S. Han, D. Shin, E. Lim, and S. Kim, 2022. Development and Performance Evaluation of Multi-Sensor Module for Use in Disaster Sites of Mobile Robot, Korean Journal of Remote Sensing, 38(6-3): 1827-1836 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.7 DOI |
7 | Ryu, S.-H., H. Yoon, D. Kim, and S.-H. Choi, 2022. A Study on Establishing the Strategies for Integrated Management and Utilization of Disaster & Safety Research Data, Korean Journal of Remote Sensing, 38(6-3): 1789-1803 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.4 DOI |
8 | Kim, S.-I., D.-S. Ahn, and S.-C. Kim, 2021. RGB Composite Technique for Post Wildfire Vegetation Monitoring Using Sentinel-2 Satellite Data, Korean Journal of Remote Sensing, 37(5-1): 939-946 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.5.1.9 DOI |
9 | Kim, T.-W. and H.-S. Han, 2022. Analysis of Surface Displacement of Oil Sands Region in Alberta, Canada Using Sentinel-1 SAR Time Series Images, Korean Journal of Remote Sensing, 38(2): 139-151 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.2.1 DOI |
10 | Kim, Y., S.B. Lee, J. Kim, and Y. Park, 2017. Disaster Management Using High Resolution Optical Satellite Imagery and Case Analysis, Journal of the Korean Society of Hazard Mitigation, 17(3): 117-124 (in Korean with English abstract). https://doi.org/10.9798/KOSHAM.2017.17.3.11 DOI |
11 | Landrieu, L., E. Rupnik, S. O. Elberink, C. Mallet, and N. Paparoditis, 2022. Preface: the 2021 edition of the XXIVth ISPRS congress, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. V-2-2022, pp. 1-5. https://doi.org/10.5194/isprs-annals-V-2-2022-1-2022 DOI |
12 | Chung, M.-K. and Y.-I. Kim, 2021. Wildfire-induced Change Detection Using Post-fire VHR Satellite Images and GIS Data, Korean Journal of Remote Sensing, 37(5-3): 1389-1403 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.5.3.5 DOI |
13 | Jeon, I.-S., S.-W. Ham, and I.-P. Lee, 2021. Analysis on Mapping Accuracy of a Drone Composite Sensor: Focusing on Pre-calibration According to the Circumstances of Data Acquisition Area, Korean Journal of Remote Sensing, 37(3): 577-589 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.3.17 DOI |
14 | Lee, K.-D., H.-Y. Ahn, J.-H. Ryu, K.-H. So, and S.-I. Na, 2021. Comparison of Reflectance and Vegetation Index Changes by Type of UAV-Mounted Multi-Spectral Sensors, Korean Journal of Remote Sensing, 37(5-1): 947-958 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.5.1.10 DOI |
15 | MOIS (Ministry of the Interior and Safety), 2021. Disaster Yearbook 2020, http://www.mois.go.kr, Accessed on Dec. 15, 2022. |
16 | Choe, E.-Y., K.-M. Jung, J.-S. Yoon, J.-H. Jang, M.-J. Kim, and H.-J. Lee, 2021. Application of Spectral Indices to Drone-based Multispectral Remote Sensing for Algal Bloom Monitoring in the River, Korean Journal of Remote Sensing, 37(3): 419-430 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.3.5 DOI |
17 | Jeong, H., J. Park, D. Lee, and J. Lee, 2022. A Comparative Study of Reservoir Surface Area Detection Algorithm Using SAR Image, Korean Journal of Remote Sensing, 38(6-3): 1777-1788 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.3 DOI |
18 | Lee, J.-S., W.-H. Kim, J.-H. Im, C.-G. Kwon, and S.-Y. Kim, 2021. Detection of Forest Fire Damage from Sentinel-1 SAR Data through the Synergistic Use of Principal Component Analysis and K-means Clustering, Korean Journal of Remote Sensing, 37(5-3): 1373-1387 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.5.3.4 DOI |
19 | Byeon, Y.-G., M.-J. Seo, D.-H. Jin, D.-S. Jung, J.-H. Woo, U.-J. Jeon, and K.-S. Han, 2021. Green Algae Detection in the Middle Downstream of Nakdong River Using High-Resolution Satellite Data, Korean Journal of Remote Sensing, 37(3): 493-502 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.3.10 DOI |
20 | Hanif, A.-S., M. Nasar-u-Minallah, S.-H. Zia, and L. Ashraf, 2022. Mapping and Analyzing the Park Cooling Intensity in Mitigation of Urban Heat Island Effect in Lahore, Pakistan, Korean Journal of Remote Sensing, 38(1): 127-137 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.1.10 DOI |
21 | Kang, H.J., 2022. Research trends and implications by type of disaster based on satellite information, APREC Insight, 2022(3): 4-28 |
22 | Lim, E., Y. Jung, and S. Kim, 2022. NDVI Based on UAVs Mapping to Calculate the Damaged Areas of Chemical Accidents, Korean Journal of Remote Sensing, 38(6-3): 1837-1846 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.8 DOI |
23 | NDMI, 2021. Development of Technology for Reservoir Water Body Analysis Using Synthetic Aperture Radar Data, National Disaster Management Research Institute, Ulsan, Republic of Korea. |
24 | Park, S.-Y., M.-H. Ahn, C.-L. Li, J.-W. Kim, H.-G. Jeon, and D.-J. Kim, 2021. Evaluation of Oil Spill Detection Models by Oil Spill Distribution Characteristics and CNN Architectures Using Sentinel-1 SAR data, Korean Journal of Remote Sensing, 37(5-3): 1475-1490 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.5.3.11 DOI |
25 | Yoon, Y., S. Kim, S. Choi, G. Park, J. Kang, G. Kim, C. Kwon, K. Seo, and Y. Lee, 2022. Regional Optimization of Forest Fire Danger Index (FFDI) and its Application to 2022 North Korea Wildfires, Korean Journal of Remote Sensing, 38(6-3): 1847-1859 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.9 DOI |
26 | MOIS (Ministry of the Interior and Safety), 2022. Additional Support of KRW 16.1 billion in Special Subsidey Tax for Drought Measures in the Southern Region, press release, https://www.mois.go.kr/frt/bbs/type010/commonSelectBoardArticle.do;jsessionid=oIbv7aZgKmUuuNlYb51cIacq.node10?bbsId=BBSMSTR_000000000008&nttId=97277, Accessed on Dec. 15, 2022. |
27 | Oh, J.-Y., T.W. Lee, and K. Cho, 2022. A Study on the Use of Scientific Investigation Equipment to Support Decision-making of the Resident Evacuation in the Event of a Chemical Accident, Korean Journal of Remote Sensing, 38(6-3): 1817-1826 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.6 DOI |
28 | Park, J. and K.-M. Kang, 2022. Research of Water-related Disaster Monitoring Using Satellite Bigdata based on Google Earth Engine Cloud Computing Platform, Korean Journal of Remote Sensing, 38(6-3): 1761-1775 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.3.2 DOI |