Disaster Assessment, Monitoring, and Prediction Using Remote Sensing and GIS |
Jung, Minyoung
(Institute of Engineering Research, Seoul National University)
Kim, Duk-jin (School of Earth and Environmental Sciences, Seoul National University) Sohn, Hong-Gyoo (Civil and Environmental Engineering, Yonsei University) Choi, Jinmu (Department of Geography, Kyung Hee University) Im, Jungho (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology) |
1 | Cheon, J., K. Choi, and I. Lee, 2018. Development of Image-map Generation and Visualization System Based on UAV for Real-time Disaster Monitoring, Korean Journal of Remote Sensing, 34(2-2): 407-418. DOI |
2 | Choi, W., S. Park, Y. Choi, S. Hong, N. Kim, and H.-G. Sohn, 2021. Creation of Actual CCTV Surveillance Map using Point Cloud Acquired by Mobile Mapping System, Korean Journal of Remote Sensing, 37(5-3): 1361-1371 (in Korean with English Abstract). DOI |
3 | Chung, M. and Y. 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). DOI |
4 | Han, S., 2020. Cloud Computing-Based Processing of Large Volume UAV Images Acquired in Disaster Sites, Korean Journal of Remote Sensing, 36(5-3): 1027-1036 (in Korean with English Abstract). DOI |
5 | Hwang, S., J. Ham, Y. Lee, and J. Choi, 2021. Analysis of the Effect of Differences in Spatial Resolution of Land-use/cover Data on the Simulation of CALPUFF, Korean Journal of Remote Sensing, 37(5-3): 1461-1473 (in Korean with English Abstract). DOI |
6 | Im, J., H.-G. Shon, D. Kim, and J. Choi, 2020. Remote Sensing-assisted Disaster Monitoring and Risk Analysis, Korean Journal of Remote Sensing, 36(5-3): 1007-1011 (in Korean with English abstract). DOI |
7 | Jeong, H., H. Ahn, D. Shin, and C. Choi, 2019. Comparison the Mapping Accuracy of Construction Sites Using UAVs with Low-Cost Cameras, Korean Journal of Remote Sensing, 35(1): 1-13. DOI |
8 | Kim, S., J. Kim, and J. Kim, 2019a. National Disaster Scientific Investigation and Disaster Monitoring using Remote Sensing and Geo-information, Korean Journal of Remote Sensing, 35(5-2): 763-772 (in Korean with English Abstract). DOI |
9 | Kim, S.J. Park, D. Shin, S. Yoo, and H.-G. Sohn, 2019b. Applicability Assessment of Disaster Rapid Mapping: Focused on Fusion of Multi-sensing Data Derived from UAVs and Disaster Investigation Vehicle, Korean Journal of Remote Sensing, 35(5-2): 841-850 (in Korean with English Abstract). DOI |
10 | Kim, M., M. Jung, and Y. Kim, 2019c. Histogram Matching of Sentinel-2 Spectral Information to Enhance Planetscope Imagery for Effective Wildfire Damage Assessment, Korean Journal of Remote Sensing, 35(4): 517-534 (in Korean with English Abstract). DOI |
11 | Lee, J., W. Kim, J. Im, C. Kwon, and S. Kim, 2021a. Detection of Forest Fire Damaged 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). DOI |
12 | Lee, Y., S. Lee, J. Im, and C. Yoo, 2021b. Analysis of Surface Urban Heat Island and Land Surface Temperature using Deep Learning based Local Climate Zone Classification: A Case Study of Suwon and Daegu, Korea, Korean Journal of Remote Sensing, 37(5-3): 1447-1460 (in Korean with English Abstract). DOI |
13 | Kim, C.H., J.S. Lee, W. Choi, W. Kim, and H.-G. Sohn, 2021a. Automatic Extraction of River Levee Slope Using MMS Point Cloud Data, Korean Journal of Remote Sensing, 37(5-3): 1425-1434 (in Korean with English Abstract). DOI |
14 | Park, S.-W., S.-J. Lee, C.-Y. Chung, S.-R. Chung, I. Shin, W.-C. Jung, H.-S. Mo, S.-I. Kim, and Y.-W. Lee, 2019. Satellite-based Forest Withering Index for Detection of Fire Burn Area: Its Development and Application to 2019 Kangwon Wildfires, Korean Journal of Remote Sensing, 35(2): 343-346 (in Korean with English Abstract). DOI |
15 | Park, S., M.-H. Ahn, C. Li, J. Kim, H. Jeon, and D. 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). DOI |
16 | Kim, H.-K., J.-H. Kim, Y.-T. Son, and S.-H. Lee, 2018. An Overview of Operations and Applications of HF Ocean Radar Networks in the Korean Coast, Korean Journal of Remote Sensing, 34(2-2): 351-375 (in Korean with English Abstract). DOI |
17 | Kim, M., C. Lee, S. Hwang, J. Ham, and J. Choi, 2021b. Development of an Open Source-based Spatial Analysis Tool for Storm and Flood Damage, Korean Journal of Remote Sensing, 37(5-3): 1435-1446 (in Korean with English Abstract). DOI |
18 | Lee, S.-M. and J.-C. Jeong, 2019. Forest Fire Severity Classification Using Probability Density Function and KOMPSAT-3A, Korean Journal of Remote Sensing, 35(6-4): 1341-1350 (in Korean with English Abstract). DOI |
19 | Piao, Y., H.-S. Lee, K.-T. Kim, and K.-S. Lee, 2018. Methodology to Apply Low Spatial Resolution Optical Satellite Images for Large-scale Flood Mapping, Korean Journal of Remote Sensing, 34(5): 787-799 (in Korean with English Abstract). DOI |
20 | Shin, J., K. Kim, J.-E. Min, and J.-H. Ryu, 2018. Red Tide Detection through Image Fusion of GOCI and Landsat OLI, Korean Journal of Remote Sensing, 34(2-2): 377-391 (in Korean with English Abstract). DOI |
21 | Rhee, S., Y. Hwang, and S. Kim, 2018. A Study on Point Cloud Generation Method from UAV Image Using Incremental Bundle Adjustment and Stereo Image Matching Technique, Korean Journal of Remote Sensing, 34(6-1): 941-951 (in Korean with English Abstract). DOI |
22 | Won, M., K. Jang, S. Yoon, and H.T. Lee, 2019. Change Detection of Damaged Area and Burn Severity due to Heat Damage from Gangwon Large Fire Area in 2019, Korean Journal of Remote Sensing, 35(6-2): 1083-1093 (in Korean with English Abstract). DOI |
23 | Stramondo, S., C. Bignami, M. Chini, N. Pierdicca, and A. Tertulliani, 2006. Satellite Radar and Optical Remote Sensing for Earthquake Damage Detection: Results from Different Case Studies, International Journal of Remote Sensing, 27(20): 4433-4447. DOI |
24 | Shin, J.-I., W.-W. Seo, T. Kim, C.-S. Woo, and J. Park, 2019. Analysis of Availability of High-resolution Satellite and UAV Multispectral Images for Forest Burn Severity Classification, Korean Journal of Remote Sensing, 35(6-2): 1095-1106 (in Korean with English Abstract) DOI |
25 | Shin, D., D. Kim, S. Kim, Y. Han, and H. Nho, 2020. A Study on the Use of Drones for Disaster Damage Investigation in Mountainous Terrain, Korean Journal of Remote Sensing, 36(5-4): 1209-1220 (in Korean with English Abstract). DOI |
26 | Shin, Y., D. Han, and J. Im, 2021. Rainfall Intensity Estimation Using Geostationary Satellite Data Based on Machine Learning: A Case Study in the Korean Peninsula in Summer, Korean Journal of Remote Sensing, 37(5-3): 1405-1423 (in Korean with English Abstract). DOI |
27 | Yamagata, Y. and T. Akiyama, 1988. Flood Damage Analysis Using Mmultitemporal Landsat Thematic Mapper Data, International Journal of Remote Sensing, 9(3): 503-514. DOI |
28 | Youn, H. and J. Jeong, 2019. Detection of Forest Fire and NBR Mis-classified Pixel Using Multi-temporal Sentinel-2A Images, Korean Journal of Remote Sensing, 35(6-2): 1107-1115 (in Korean with English Abstract). DOI |
29 | Baek, W.-K. and H.-S. Jung, 2018. Precise Measurements of the Along-track Surface Deformation Related to the 2016 Kumamoto Earthquakes via Ionospheric Correction of Multiple-Aperture SAR Interferograms, Korean Journal of Remote Sensing, 34(6-4): 1489-1501 (in Korean with English Abstract). DOI |
30 | Song, J., D. Kim, J. Hwang, S. An, and J. Kim, 2021. Assessment of Backprojection-based FMCW-SAR Image Restoration by Multiple Implementation of Kalman Filter, Korean Journal of Remote Sensing, 37(5-3): 1349-1359 (in Korean with English Abstract). DOI |