EARTHQUAKE DAMAGE ASSESSMENT OF 21st NOVEMBER 2022 IN CIANJUR, INDONESIA: A GRID-BASED AND MACHINE LEARNING APPROACH USING SENTINEL-1 SAR INTERFEROMETRY
Arli Ardiandy Nurseramika, Hideomi Gokon
Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium, -, 2025
FLOOD EXTENT PREDICTION USING REMOTE SENSING DATA BASED ON MACHINE LEARNING AND DEMPSTER-SHAFER THEORY: A CASE STUDY OF NAGANO CITY
Yifan YANG, Hideomi GOKON, Wataru TAKEUCHI
Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium, -, 2025
AN INTERPRETABLE MACHINE LEARNING MODEL FOR SNOWSTORM RISK IDENTIFICATION AND ASSESSMENT
Zhenyu YANG, Hideomi GOKON
Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium, -, 2025
POINT CLOUD SEGMENTATION FOR POST-DISASTER SCENARIOS: THE DEBRISPC DATASET AND BENCHMARK
Jiaheng Lu, Yutong Wang, Hideomi Gokon
Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium, -, 2025
EVALUATING MODIS AND VIIRS SATELLITE AOD FOR GROUND-LEVEL PM2.5 ESTIMATION IN THAILAND
Suhaimee Buya, Hideomi Gokon, Sasiporn Usanavasin, Jessada Karnjana
Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium, -, 2025
TOPOGRAPHY-BASED DEBRIS FLOW DETECTION USING BI-TEMPORAL SAR INTENSITY DIFFERENCES
Naoki Ohira, Bruno Adriano, Hideomi Gokon, Hiroyuki Miura, Erick Mas, Shunichi Koshimura
Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium, -, 2025
THE IMPORTANCE OF TRAINING CONSTRUCTION ENGINEERS AND TACIT KNOWING ABILITIES TO AIM FOR EARLY COMPLETION OF DISASTER RECOVERY WORK
Katsuhito FUKUTA, Hideomi GOKON, Mitsuru IKEDA, Takashi HASHIMOTO
Special Issue (Construction Management)Paper, Japanese Journal of JSCE (Japanese9, 80, 23, -, 2025
Knowledge Management of the Board of Education in School Disaster Management: A Case Study of Phase-Free Education Program, Naruto City, Japan
Aki SHIMBO, Hideomi GOKON, Shinya KONDO, Youji KOHDA
Journal of Social Safety Science (Japanese), 45, 95-104, 2024
EVALUATION OF THE RELATIONSHIP BETWEEN BUILDING DAMAGE AND INUNDATION DEPTH IN SUZU CITY DUE TO THE 2014 NOTO PENINSULA EARTHQUAKE AND TSUNAMI Hideomi GOKON, Naoki OHIRA, Yasuaki TAKAHASHI, Shinpei NAKANO, Katsuhito FUKUTA, Mamoru ARITA, Shinya UMEDA, Junichi NINOMIYA, Shunichi KOSHIMURA
Japanese Journal of JSCE, 80, 17, -, 2024
TSUNAMI INUNDATION AND RESULTANT DAMAGE IN THE EASTERN COAST OF NOTO PENINSULA INDUCED BY 2024 NOTO PENINSULA EARTHQUAKE TSUNAMI Mamoru ARITA, Shinya UMEDA, Junichi NINOMIYA, Hideomi GOKON, Kenzou KUMAGAI, Shunichi KOSHIMURA, Masatoshi YUHI
Japanese Journal of JSCE (Japanese), 80, 17, -, 2024
Dataset of Post-Event Survey of the 2024 Noto Peninsula Earthquake Tsunami in Japan Masatoshi Yuhi, Shinya Umeda, Mamoru Arita, Junichi Ninomiya, Hideomi Gokon, Taro Arikawa, Toshitaka Baba, Fumihiko Imamura, Kenzou Kumagai, Shuichi Kure, Takuya Miyashita, Anawat Suppasri, Akio Kawai, Hisamichi Nobuoka, Tomoya Shibayama, Shunichi Koshimura, Nobuhito Mori
Scientific Data, 11, 1, -, 2024
Post-event survey of the 2024 Noto Peninsula earthquake tsunami in Japan Masatoshi Yuhi, Shinya Umeda, Mamoru Arita, Junichi Ninomiya, Hideomi Gokon, Taro Arikawa, Tositaka Baba, Fumihiko Imamura, Akio Kawai, Kenzo Kumagai, Shuichi Kure, Takuya Miyashita, Anawat Suppasri, Hisamichi Nobuoka, Tomoya Shibayama, Shunichi Koshimura, Nobuhito Mori
Coastal Engineering Journal, 1-14, 2024
INFLUENCE OF TOPOGRAPHIC SLOPE DATA ON ESTIMATION RESULTS OF LANDSLIDE AREAS USING SAR IMAGES
Naoki Ohira, Hideomi Gokon
Proceedings of the 2024 IEEE International Geoscience and Remote Sensing Symposium, -, 2024
MODEL CONSTRUCTION AND EVALUATION OF FLOOD AREA ESTIMATION BASED ON SAR AND GPS DATA
Yifan Yang, Naoki Ohira, Hideomi Gokon
Proceedings of the 2024 IEEE International Geoscience and Remote Sensing Symposium, -, 2024
A Model for Estimating Disaster Victims' Needs Using Twitter in the Case of the 2016 Kumamoto Earthquake
Kodai NAGURA, Naoki OHIRA, Hideomi GOKON
Journal of the Japan Association for Regional Safety Science, 44, -, 2024
Time and Spatial Analysis of Flood Disaster based on GPS Data:A Case Study of Flood Disaster in Nagano City in 2019
Yifan YANG, Naoki OHIRA, Hideomi GOKON
地域安全学会論文集, 44, -, 2024
Obtaining Information on Damage to Electric Power Infrastructure Using Location-Based Tweet Data in the 2011 Tohoku Japan Earthquake and Tsunami
大平 尚輝, 楊 一帆, 名倉 航大, 郷右近 英臣
Journal of the Japan Association for Regional Safety Science (Japanese), 44, -, 2024
TOWARDS AN APPLICATION OF KNOWLEDGE SCIENCE TO EARTHQUAKES AND TSUNAMI DISASTER
Hideomi Gokon
Proceedings of the 17th World Conference on Earthquake Engineering(17WCEE), 6d-0003, 2020, -, 2020
Understanding Regional Building Characteristics in Yangon Based on Digital Building Model Murao Osamu, Usuda Takuma, Gokon Hideomi, Meguro Kimiro, Takeuchi Wataru, Sugiyasu Kazuya, Yu Khin Than
JOURNAL OF DISASTER RESEARCH, 13, 1, 125-137, 2018
Object-Based Building Damage Assessment Methodology Using Only Post Event ALOS-2/PALSAR-2 Dual Polarimetric SAR Intensity Images Yanbing Bai, Graduate School of Engineering, Tohoku University Aoba 468-1, Aramaki, Aoba-ku, Sendai 980-0845, Japan, Bruno Adriano, Erick Mas, Hideomi Gokon, Shunichi Koshimura, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan, Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
Journal of Disaster Research, 12, 2, 259-271, 2017
A Method for Detecting Buildings Destroyed by the 2011 Tohoku Earthquake and Tsunami Using Multitemporal TerraSAR-X Data Hideomi Gokon, Joachim Post, Enrico Stein, Sandro Martinis, Andre Twele, Matthias Mueck, Christian Geiss, Shunichi Koshimura, Masashi Matsuoka
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 12, 6, 1277-1281, 2015
A radar-based method for detecting tsunami devastated areas using machine learning algorithm
Gokon, H, Post, J, Stein, E, Martinis, S, Twele, A, Mück, M, Koshimura, S
34th Asian Conference on Remote Sensing 2013, ACRS 2013, 4, 3535-3541, 2013
Machine Learning Based Method for Detecting Tsunami Devastated Area Using TerraSAR-X Data Hideomi GOKON, Joachim POST, Enrico STEIN, Sandro MARTINIS, André TWELE, Matthias MÜCK, Shunichi KOSHIMURA
Journal of Japan Society of Civil Engineers, Series B2 (Coastal Engineering), 69, 2, I.1441-I.1445 (J-STAGE)-I_1445, 2013
DAMAGE CHARACTERISTIC AND FIELD SURVEY OF THE 2011 GREAT EAST JAPAN TSUNAMI IN MIYAGI PREFECTURE SUPPASRI Anawat, KOSHIMURA Shunichi, IMAI Kentaro, MAS Erick, GOKON Hideomi, MUHARI Abdul, IMAMURA Fumihiko
Coastal Engineering Journal, 54, 1, 1250005.1-1250005.30-, 2012
Contribution of earth observation and modelling to disaster response management: Methodological developments and recent examples J. Post, S. Koshimura, S. Wegscheider, A. Muhari, M. Muck, G. Strunz, H. Gokon, S. Hayashi, E. Stein, A. Ramanauskas
International Geoscience and Remote Sensing Symposium (IGARSS), 947-949, 2012
Detecting Tsunami Affected Area by Integrating Numerical Model GIS Analysis and Remote Sensing - Implementation to the 2009 Tsunami Disaster in American Samoa - Shunichi KOSHIMURA, Hideomi GOKON, Yuichi NAMEGAYA, Yuichi NISHIMURA, Yugo NAKAMURA, Gerard FRYER, Akapo AKAPO, Laura KONG
Journal of Japan Society of Civil Engineers, Series B2 (Coastal Engineering), 66, 1,Pt.2, 1361-1365, 2010