Bruno Adriano
Bruno Adriano, Dr.Eng.
Associate Professor
IRIDeS, Tohoku University
Google Scholar ORCID ResearchMap ResearchGate LinkedIn
  1. R. Vescovo, X. Dong, S. Wiguna, C.Y. Ho, B. Adriano E. Mas, S. Koshimura “Leveraging LLMs for rapid disaster impacts assessment through News Media: A case study of the 2025 Myanmar Earthquake,” International Journal of Disaster Risk Reduction, (in press), 2026
  2. C. Jimenez, N. Luna, B. Adriano “Numerical Simulation of the 2018 Yauca Peru Earthquake and Tsunami (Mw 7.1) to Obtain the Slip Distribution,” Pure Applied Geophysics, 183, pp. 2061-2074, 2026
  3. R. Nagato, I. Karrel San Jose, S. Wiguna, R. Kametaka, B. Adriano, E. Mas, S. Koshimura “Comparative Analysis of PALSAR-2 and Geographical Features for Mapping Urban and Non-Urban Flooded Areas,” Journal of Disaster Research, vol. 21(1), pp. 201-21, 2026
  4. I.K. San Jose, S. Wiguna, R. Kametaka, B. Adriano, E. Mas, S. Koshimura “Evaluation of open-source SAR-based flood datasets for flood extent mapping in emergency settings,” Progress in Disaster Science, vol. 29, pp. 100507, 2026
  5. C.Y. Ho, B. Adriano, G. Baier, E. Mas, S. Wiguna, M. Koch, S. Koshimura “Integrating GAN-Generated SAR and Optical Imagery for Building Damage Mapping,” Remote Sensing, vol. 18(1), pp. 134, 2025
  6. A. Mizutani, B. Adriano, E. Mas, Y. Ohta, S. Koshimura “ABIC-based joint inversion using tsunami, GNSS and SAR data for the 2024 Noto Peninsula earthquake,” Geophysical Journal International, vol. 244, pp. ggaf432, 2026
  7. I. Inocente, M. Diaz, M. Matsuoka, Y. Maruyama, H. Miura, W. Liu, B. Adriano, J. Tarazona, C. Zavala, J. Salinas “Design and Implementation of an Open-Source Web-Based GIS System for Early Earthquake Damage Estimation in Lima, Peru,” Journal of Disaster Research, vol. 22(6), pp. 1034-1047, 2025
  8. F. Garcia, M. Estrada, J. Palacios, C. Davila, A. Quesquen, J. Morales, B. Adriano, E. Mas, S. Koshimura “Parallel Computing Approach for Rapid Estimation of Tsunami Hazard and Population Exposure in Peru,” Journal of Disaster Research, vol. 22(6), pp. 912-921, 2025
  9. W. Liu, M. Kamegawa, B. Adriano, H. Miura, M. Matsuoka, I. Inocente, F. Garcia, J. Morales, M. Diaz, M. Estrada “Estimation of Building Heights in Peru from High-Resolution Stereo Optical Satellite Imagery,” Journal of Disaster Research, vol. 22(6), pp. 1023-1033, 2025
  10. B. Adriano, H. Gokon, A. Mizutani,E. Mas, S. Koshimura “Understanding the relationship between building damage and tsunami inundation due to the 2024 Noto Peninsula Earthquake,” Ocean Engineering, vol. 340(1), pp. 122179, 2025
  11. R. Kametaka, B. Adriano, E. Mas, S. Koshimura “Accurate flood extent mapping in suburban areas using a single SAR image,” International Journal of Applied Earth Observation and Geoinformation, vol. 144, pp. 104941, 2025
  12. C. Liu, H. Bao, J. Zhang, H. Lan, B. Adriano, S. Koshimura, W. Yuan “Accurate Digital Reconstruction of High-Steep Rock Slope via Transformer-Based Multi-Sensor Data Fusion,” Remote Sensing, vol. 17(21), pp. 3555, 2025
  13. M. R. Purnama, B. Adriano, E. Lahcene, A. Suppasri, F. Imamura, M. Farid, M. B. Adityawan “Improving Indonesia's tsunami early warning. Part II: Hybridized deep learning and metaheuristic algorithm for forecasting and optimizing,” Ocean Engineering, vol. 333(3), pp. 121496, 2025
  14. X. Dong, E. Mas, B. Adriano, S. Koshimura “Towards real-time extraction of cascading effect and spatiotemporal analysis using social media data,” International Journal of Disaster Risk Reduction, vol. 125, pp. 105512, 2025
  15. S.P.D. Sriyanto, B. Adriano, Y. Fujii, S. Koshimura Estimation of high-resolution tsunami inundation depth using deep learning models: Case study of Pangandaran, Indonesia,” Ocean Engineering, vol. 330, pp. 121019, 2025
  16. B. Adriano, C. Jimenez, E. Mas, S. Koshimura “Revising the seismic source of the 1979 Tumaco-Colombia earthquake,” Physics of the Earth and Planetary Interiors, vol. 362, pp. 107344, 2025
  17. R. Vescovo, B. Adriano, S. Wiguna, C.Y. Ho, J. Morales, X. Dong, S. Ishii, K. Wako, Y. Ezaki, A. Mizutani, E. Mas, S. Tanaka, S. Koshimura “The 2024 Noto Peninsula earthquake building damage dataset: multi-source visual assessment,” Earth System Science Data, vol. 17(10), pp. 5259–5276, 2025
  18. Y. Ezaki, C. Y. Ho, B. Adriano, E. Mas, S. Koshimura “Evaluation of Simulated SAR images for building damage classification,” IEEE Geoscience and Remote Sensing Letters, vol. 22, pp. 1–5, 2024
  19. S. Wiguna, B. Adriano, E. Mas, S. Koshimura "Evaluation of deep learning models for building damage mapping in emergency response settings" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 5651–5667, 2024
  20. S. Wiguna, B. Adriano, R. Vescovo, E. Mas, A. Mizutani, S. Koshimura ”Building Damage Mapping of the 2024 Noto Peninsula Earthquake, Japan, Using Semi-Supervised Learning and VHR Optical Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1–5, 2024
  21. C.Y. Ho, E. Mas, B. Adriano, S. Koshimura ”Exploring the feasibility of ray tracing SAR simulation on building damage assessment,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 1046–1059, 2024
  22. E.R. Velasco-Reyes, D. Sugawara, B. Adriano ”Tracing the sources of paleotsunamis using Bayesian frameworks,” Communications Earth & Environment, vol. 5(1), pp. 478, 2024
  23. Y. Bai, J. Su, Y. Zou, B. Adriano ”Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters,” GeoInformatica, vol. 27, pp. 237–261, 2023
  24. J. Xia, N. Yokoya, B. Adriano, K. Kanemoto ”National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets,” International Journal of Applied Earth Observation and Geoinformation, vol. 117, pp. 103193, 2023
  25. B. Adriano, H. Miura, W. Liu, M. Matsuoka, E. Portuguez, M. Diaz, M. Estrada ”Revising the 2007 Peru earthquake damage monitoring using machine learning models and satellite imagery,” Journal of Disaster Research, vol. 18(4), pp. 379–387, 2023
  26. R. Vescovo, B. Adriano, E. Mas, S. Koshimura ”Beyond tsunami fragility functions: experimental assessment for building damage estimation,” Scientific Reports, vol. 13, pp. 14337, 2023
  27. A.C. Cheng, A. Suppasri, M. Heidarzadeh, B. Adriano, C.T. Chua, F. Imamura ”Tsunami wave characteristics in Sendai Bay, Japan, following the 2016 Mw 6.9 Fukushima earthquake,” Ocean Engineering, vol. 287, pp. 115676, 2023
  28. C. Jimenez, J. Morales, M. Estrada, B. Adriano, E. Mas, S. Koshimura ”Estimation of the seismic source of the 1974 Lima Peru earthquake and Tsunami (Mw 8.1),” Journal of Disaster Research, vol. 18(8), pp. 825–834, 2023
  29. L. Moya, F. Garcia, C. Gonzales, M. Diaz, C. Zavala, M. Estrada, F. Yamazaki, S. Koshimura, E. Mas, B. Adriano ”Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru,” Natural Hazards and Earth System Sciences, vol. 22(1), pp. 65–70, 2022
  30. B. Adriano, N. Yokoya, J. Xia, H. Miura, W. Liu, M. Matsuoka, S. Koshimura ”Learning from multimodal and multitemporal earth observation data for building damage mapping,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 175, pp. 132–143, 2021
  31. J. Xia, N. Yokoya, B. Adriano, L. Zhang, G. Li, Z. Wang ”A benchmark high-resolution GaoFen-3 SAR dataset for building semantic segmentation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 5950–5963, 2021
  32. B. Adriano, N. Yokoya, H. Miura, M. Matsuoka, S. Koshimura ”A semiautomatic pixel-object method for detecting landslides using multitemporal ALOS-2 intensity images,” Remote Sensing, vol. 12(3), 561, 2020
  33. L. Moya, A. Muhari, B. Adriano, S. Koshimura, E. Mas, L.R. Marval-Perez, N. Yokoya ”Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami,” Remote Sensing of Environment, vol. 242, 111743, 2020
  34. E. Mas, R. Paulik, K. Pakoksung, B. Adriano, L. Moya, A. Suppasri, A. Muhari, R. Khomarudin, N. Yokoya, M. Matsuoka, et al. ”Characteristics of tsunami fragility functions developed using different sources of damage data from the 2018 Sulawesi earthquake and tsunami,” Pure and Applied Geophysics, vol. 177, pp. 2437–2455, 2020
  35. R.S. Escobar, L.O. Diaz, A.M. Guerrero, M.P. Galindo, E. Mas, S. Koshimura, B. Adriano, L. Urra, P. Quintero ”Tsunami hazard assessment for the central and southern pacific coast of Colombia,” Coastal Engineering Journal, vol. 62(3), pp. 413-428, 2020
  36. N. Yokoya, K. Yamanoi, W. He, G. Baier, B. Adriano, H. Miura, S. Oishi ”Breaking limits of remote sensing by deep learning from simulated data for flood and debris-flow mapping,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1–15, 2020
  37. B. Adriano, J. Xia, G. Baier, N. Yokoya, S. Koshimura ”Multi-source data fusion based on ensemble learning for rapid building damage mapping during the 2018 Sulawesi earthquake and tsunami in Palu, Indonesia,” Remote Sensing, vol. 11(7), 886, 2019
  38. S. Medina, J. Lizarazo-Marriaga, M. Estrada, S. Koshimura, E. Mas, B. Adriano ”Tsunami analytical fragility curves for the Colombian Pacific coast: A reinforced concrete building example,” Engineering Structures, vol. 196, 109309, 2019
  39. B. Adriano, Y. Fujii, S. Koshimura, E. Mas, A. Ruiz-Angulo, M. Estrada ”Tsunami source inversion using tide gauge and DART tsunami waveforms of the 2017 Mw8.2 Mexico earthquake,” Pure and Applied Geophysics, vol. 175, pp. 35–48, 2018
  40. B. Adriano, Y. Fujii, S. Koshimura ”Tsunami source and inundation features around Sendai Coast, Japan, due to the November 22, 2016 Mw 6.9 Fukushima earthquake,” Geoscience Letters, vol. 5, 2, 2018
  41. L. Moya, L.R. Marval Perez, E. Mas, B. Adriano, S. Koshimura, F. Yamazaki ”Novel unsupervised classification of collapsed buildings using satellite imagery, hazard scenarios and fragility functions,” Remote Sensing, vol. 10(2), 296, 2018
  42. L. Moya, E. Mas, B. Adriano, S. Koshimura, F. Yamazaki, W. Liu ”An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves,” International Journal of Disaster Risk Reduction, Vol. 31, pp. 1374–1384, 2018
  43. Y. Bai, B. Adriano, E. Mas, S. Koshimura ”Identifying building damage patterns in the 2016 Meinong, Taiwan earthquake using post-event dual-polarimetric ALOS-2/PALSAR-2 imagery,” Journal of Disaster Research, vol. 13(2), pp. 291–302, 2018
  44. S. Karimzadeh, M. Matsuoka, M. Miyajima, B. Adriano, A. Fallahi, J. Karashi ”Sequential SAR coherence method for the monitoring of buildings in Sarpole-Zahab, Iran,” Remote Sensing, vol. 10(8), 1255, 2018
  45. Y. Endo, B. Adriano, E. Mas, S. Koshimura ”New insights into multiclass damage classification of tsunami-induced building damage from SAR images,” Remote Sensing, vol. 10(12), 2059, 2018
  46. B. Adriano, S. Hayashi, S. Koshimura ”Analysis of spatio-temporal tsunami source models for reproducing tsunami inundation features,” Geosciences, vol. 8(1), 3, 2017
  47. Y. Bai, C. Gao, S. Singh, M. Koch, B. Adriano, E. Mas, S. Koshimura ”A framework of rapid regional tsunami damage recognition from post-event TerraSAR-X imagery using deep neural networks,” IEEE Geoscience and Remote Sensing Letters, vol. 15(1), pp. 43–47, 2017
  48. Y. Bai, B. Adriano, E. Mas, S. Koshimura ”Building damage assessment in the 2015 Gorkha, Nepal, earthquake using only post-event dual polarization SAR imagery,” Earthquake Spectra, vol. 33(S1), pp. S185–S195, 2017
  49. Y. Bai, B. Adriano, E. Mas, S. Koshimura ”Machine learning based building damage mapping from the ALOS-2/PALSAR-2 SAR imagery: Case study of 2016 Kumamoto earthquake,” Journal of Disaster Research, vol. 12(sp), pp. 646–655, 2017
  50. Y. Bai, B. Adriano, E. Mas, H. Gokon, S. Koshimura ”Object-based building damage assessment methodology using only post event ALOS-2/PALSAR-2 dual polarimetric SAR intensity images,” Journal of Disaster Research, vol. 12(2), pp. 259–271, 2017
  51. P. Latcharote, A. Suppasri, A. Yamashita, B. Adriano, S. Koshimura, Y. Kai, F. Imamura ”Possible failure mechanism of buildings overturned during the 2011 Great East Japan Tsunami in the Town of Onagawa,” Frontiers in Built Environment, vol. 3, pp. 1-18, 2017
  52. B. Adriano, S. Hayashi, H. Gokon, E. Mas, S. Koshimura ”Understanding the extreme tsunami inundation in Onagawa town by the 2011 Tohoku earthquake, its effects in urban structures and coastal facilities,” Coastal Engineering Journal, vol. 58(4), 1640013, 2016
  53. J. Macabuag, T. Rossetto, I. Ioannou, A. Suppasri, D. Sugawara, B. Adriano, F. Imamura, I. Eames, S. Koshimura ”A proposed methodology for deriving tsunami fragility functions for buildings using optimum intensity measures,” Natural Hazards, vol. 84, pp. 1257–1285, 2016
  54. E. Mas, J. Bricker, S. Kure, B. Adriano, C. Yi, A. Suppasri, S. Koshimura ”Field survey report and satellite image interpretation of the 2013 Super Typhoon Haiyan in the Philippines,” Natural Hazards and Earth System Sciences, vol. 15(4), pp. 805–816, 2015
  55. E. Mas, S. Koshimura, F. Imamura, A. Suppasri, A. Muhari, B. Adriano ”Recent advances in agent-based tsunami evacuation simulations: case studies in Indonesia, Thailand, Japan and Peru,” Pure and Applied Geophysics, vol. 172, pp. 3409–3424, 2015
  56. B. Adriano, E. Mas, S. Koshimura, M. Estrada, C. Jimenez ”Scenarios of earthquake and tsunami damage probability in Callao region, Peru using tsunami fragility functions,” Journal of Disaster Research, vol. 9(6), pp. 968–975, 2014
  57. E. Mas, B. Adriano, N. Pulido, C. Jimenez, S. Koshimura ”Simulation of tsunami inundation in Central Peru from future megathrust earthquake scenarios,” Journal of Disaster Research, vol. 9(6), pp. 961–967, 2014
  58. C. Jimenez, N. Moggiano, E. Mas, B. Adriano, Y. Fujii, S. Koshimura ”Tsunami waveform inversion of the 2007 Peru (Mw8.1) earthquake,” Journal of Disaster Research, vol. 9(6), pp. 954–960, 2014
  59. W. Liu, F. Yamazaki, B. Adriano, E. Mas, S. Koshimura ”Development of building height data in Peru from high-resolution SAR imagery,” Journal of Disaster Research, vol. 9(6), pp. 1042–1049, 2014
  60. B. Adriano, E. Mas, S. Koshimura, Y. Fujii, S. Yauri, C. Jimenez, H. Yanagisawa ”Tsunami inundation mapping in Lima, for two tsunami source scenarios,” Journal of Disaster Research, vol. 8(2), pp. 274–284, 2013
  61. E. Mas, B. Adriano, S. Koshimura ”An integrated simulation of tsunami hazard and human evacuation in La Punta, Peru,” Journal of Disaster Research, vol. 8(2), pp. 285–295, 2013
  62. C. Jimenez, N. Moggiano, E. Mas, B. Adriano, S. Koshimura, Y. Fujii, H. Yanagisawa ”Seismic source of 1746 Callao earthquake from tsunami numerical modeling,” Journal of Disaster Research, vol. 8(2), pp. 266–273, 2013
Full list on Google Scholar
  1. S. Groth, I. San Jose, M. Wieland, Y. Zhu, C. Geiß, B. Adriano, S. Martinis “Using Multi-Source DEM Super-Resolution for Improved Inundation Depth Estimation,” 2025 9th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2025
  2. I. Karrell San Jose, S. Wiguna, M. Wieland, B. Adriano, E. Mas, S. Koshimura “Comparative analysis of open-source SAR-based flood datasets for accurate flood extent delineation using deep learning,” 2025 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2025, 2025
  3. S. Koshimura, Y. Tanioka, D. Melgar, B. Crowell, R. Eguchi, Y. Ohta, E. Mas, B. Adriano, A. Musa, Y. Sato, et al. “Tsunami Digital Twin: Progress and Applications to Japan and the US,” AGU25, 2025
  4. A. Mizutani, B. Adriano, E. Mas, Y. Ohta, S. Koshimura “Joint inversion of the tsunami, GNSS, and SAR datasets for finite fault modeling: optimizing data weights using Akaike’s Bayesian Information Criterion (ABIC),” AGU25, 2025
  5. J. Perez, L. Moya, J. Ramirez, E. Gonzales, E. Mas, B. Adriano, S. Koshimura “Tsunami pedestrian evacuation simulation for Camaná, Peru: Perspectives for improving evacuation performance,” E3S Web of Conferences, 2025
  6. W. Yuan, C. Liu, T. Wang, B. Adriano, H. Bao, R. Shibasaki, S. Koshimura “Multi-source 3D point clouds fusion for potential rock mass hazard evaluation in high-steep rock slopes,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2025
  7. B. Adriano, S. Wiguna, E. Mas, S. Koshimura “DAMAGED BUILDING RECOGNITION AFTER THE 2023 TÜRKIYE-SYRIA EARTHQUAKE USING REMOTE SENSING AND AI,” World Conference on Earthquake Engineering proceedings, 2024
  8. B. Adriano, L. Moya, E. Mas, H. Miura, M. Matsuoka, S. Koshimura “Urban Vulnerability Analysis in the Tributary Basin of the Rimac River, Peru Using High-Resolution Remote Sensing Imagery,” IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
  9. B. Crowell, D. Melgar, R. Eguchi, S. Koshimura, K. Kwong, S. Santellanes, Y. Lee, S. Ghosh, G. Esquivias, B. Adriano, et al. “From Hazard to Risk: Towards a Comprehensive Tsunami Loss Estimation Platform,” AGU Fall Meeting Abstracts, 2024
  10. C. Ho, E. Mas, B. Adriano, S. Koshimura “Comparative Analysis of Detailed Features in 3D Models for SAR Simulation,” IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
  11. M. Koch, N. Verma, S. Wiguna, B. Adriano, S. Koshimura “Integrating DL-based Transfer Learning and InSAR Coherence for Damage Recognition: Case Study of the 2023 Türkiye-Syria Earthquake,” AGU Fall Meeting Abstracts, 2024
  12. S. Koshimura, B. Adriano, A. Mizutani, E. Mas, Y. Ohta, S. Nagata, Y. Takeda, R. Vescovo, S. Wiguna, T. Abe, et al. “The 2004 Noto Peninsula Earthquake Tsunami-It's Generation, Propagation, Inundation, and Impact,” European Geosciences Union General Assembly 2024 (EGU24), 2024
  13. S. Koshimura, E. Mas, A. Musa, B. Adriano “Disaster digital twin for enhancing resilience of tsunami disaster response system,” World Conference on Earthquake Engineering proceedings, 2024
  14. S. Koshimura, B. Adriano, A. Mizutani, E. Mas, Y. Ohta, S. Nagata, Y. Takeda, R. Vescovo, S. Wiguna, T. Abe, et al. “The impact of the 2024 Noto Peninsula earthquake tsunami,” European Geosciences Union General Assembly 2024 (EGU24), 2024
  15. S. Koshimura, B. Adriano, E. Mas, S. Nagata, Y. Takeda “Tsunami Digital Twin-Concept, Progress, and Application to the 2024 Noto Peninsula Earthquake Tsunami Disaster, Japan,” European Geosciences Union General Assembly 2024 (EGU24), 2024
  16. S. Koshimura, Y. Tanioka, D. Melgar, B. Crowell, R. Eguchi, Y. Ohta, E. Mas, B. Adriano, A. Mizutani, A. Musa, et al. “Tsunami Digital Twin: Its Concept, Progress, and Applications to Japan and the US,” AGU Fall Meeting Abstracts, 2024
  17. L. Moya, F. Mesias, A. Tostado, A. Kramer, L. Ceferino, S. Wiguna, B. Adriano “OPEN DATASET OF ROAD OBSTRUCTIONS DUE TO COLLAPSED BUILDINGS FROM THE 2023 TURKEY EARTHQUAKES,” World Conference on Earthquake Engineering proceedings, 2024
  18. S. Santellanes, D. Melgar, B. Adriano, S. Koshimura, B. Crowell, R. Eguchi, Y. Lee “Comparisons of inundation between homogeneous and heterogeneous earthquake sources at select sites for the Cascadia Subduction Zone,” AGU Fall Meeting Abstracts, 2024
  19. S. Wiguna, B. Adriano, E. Mas, S. Koshimura “Assessment of Deep Learning Models Trained Using Global Remote Sensing Imagery in Real-Context Emergency Response,” IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
  20. W. Yuan, W. Ran, B. Adriano, R. Shibasaki, S. Koshimura “The Performance of the Optical Flow Field based Dense Image Matching for UAV Imagery,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2024
  21. B. Adriano, N. Yokoya, K. Yamanoi, S. Oishi “Combining Deep Learning and Numerical Simulation to Predict Flood Inundation Depth,” IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
  22. B. Adriano, H. Miura, W. Liu, M. Matsuoka, S. Koshimura “Developing a framework for rapid collapsed building mapping using satellite imagery and deep learning models,” IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
  23. B. Adriano, S. Koshimura “Developing a deep learning super-resolution framework for tsunami inundation forecasting,” XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG), 2023
  24. X. Dong, E. Mas, B. Adriano, S. Koshimura “Extracting cascading consequences of the 2011 Great East Japan earthquake and tsunami using social sensing data,” XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG), 2023
  25. R. Vescovo, E. Mas, B. Adriano, S. Koshimura “Deep learning of tsunami building damage from multimodal physical parameters for real-time damage assessment,” XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG), 2023
  26. J. Xia, N. Yokoya, B. Adriano, C. Broni-Bediako “Openearthmap: A benchmark dataset for global high-resolution land cover mapping,” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
  27. B. Adriano, N. Yokoya, K. Yamanoi, S. Oishi “Predicting Flood Inundation Depth Based-on Machine Learning and Numerical Simulation,” CEUR Workshop Proceedings, 2022
  28. J. Song, B. Adriano, N. Yokoya “" Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation.,” CDCEO@ IJCAI, 2022
  29. Z. Xia, Z. Li, Y. Bai, J. Yu, B. Adriano “Self-supervised learning for building damage assessment from large-scale xBD satellite imagery benchmark datasets,” International Conference on Database and Expert Systems Applications, 2022
  30. B. Adriano, N. Yokoya, H. Miura, M. Matsuoka, S. Koshimura “INTELLIGENT LEARNING USING REMOTE SENSING DATASET FROM PREVIOUS EARTHQUAKES TO ASSESS BUILDING DAMAGE IN FUTURES EVENTS,” World Conference on Earthquake Engineering proceedings, 2021
  31. C. Gonzales, L. Moya, M. Diaz, C. Zavala, B. Adriano, E. Mas, S. Koshimura, F. Yamazaki “ESTIMATION OF SHEAR-WAVE VELOCITY PROFILES IN PERU BASED ON MACHINE LEARNING ALGORITHMS,” World Conference on Earthquake Engineering proceedings, 2021
  32. T. Martín, L. Gutierrez, M. Palacios, E. Mas, B. Adriano, S. Koshimura “Tsunami damage estimation in Esmeraldas, Ecuador using fragility functions,” AIMS GEOSCIENCES, 2021
  33. L. Moya, C. Gonzales, M. Díaz, B. Adriano, E. Mas, C. Zavala, S. Koshimura, F. Yamazaki “Concytec-World Bank Project: Machine Learning and Earth Observation Technologies for Disaster Mitigation,” World Conference on Earthquake Engineering proceedings, 2021
  34. B. Adriano, J. Xia, N. Yokoya, H. Miura, M. Matsuoka, S. Koshimura “Damage characterization in urban environments from multitemporal remote sensing datasets built from previous events,” IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
  35. B. Adriano, N. Yokoya, J. Xia, G. Baier, S. Koshimura “Cross-domain-classification of tsunami damage via data simulation and residual-network-derived features from multi-source images,” IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
  36. G. Baier, W. He, B. Adriano, J. Xia, N. Yokoya “Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection,” IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
  37. J. Xia, B. Adriano, G. Baier, N. Yokoya “Building damage mapping via transfer learning,” IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
  38. B. Adriano, S. Koshimura, S. Karimzadeh, M. Matsuoka, M. Koch “Damage mapping after the 2017 puebla earthquake in Mexico using high-resolution ALOS2 PALSAR2 data,” IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
  39. B. Adriano, M. Arcila, R. Sanchez, E. Mas, S. Koshimura, P. Arreaga, N. Pulido “Estimation of the tsunami source of the 1979 Great Tumaco earthquake using tsunami numerical modeling,” Proceedings of the 16th World Conference on Earthquake, 16WCEE, 2017
  40. J. Macabuag, T. Rossetto, I. Ioannou, A. Suppasri, D. Sugawara, B. Adriano, F. Imamura, I. Eames, S. Koshimura “Proposed methodology for defining optimal intensity measures for empirical tsunami fragility functions,” 16th World Conference on Earthquake–WCEE, 2017
  41. E. Mas, B. Adriano, R. Sanchez, O. Murao, S. Koshimura “Tsunami Evacuation in the Pacific and Caribbean Coast of Colombia,” Proceedings of the 16th World Conference on Earthquake, 16WCEE, 2017
  42. B. Adriano, Y. Fujii, S. Koshimura “Tsunami source of the 2016 Muisne, Ecuador Earthquake inferred from tide gauge and DART records,” AGU Fall Meeting Abstracts, 2016
  43. B. Adriano, E. Mas, S. Koshimura “Buildings damage due to the 2013 Haiyan Typhoon inferred from SAR intensity images,” 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2015
  44. B. Adriano, E. Mas, S. Koshimura “Developing a building damage function using SAR images and post-event data after the Typhoon Haiyan in The Philippines,” 土木学会論文集 B2 (海岸工学), 2015
  45. B. Adriano, E. Mas, S. Koshimura, H. Gokon, W. Liu, M. Matsuoka “Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan,” 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
  46. J. Bricker, H. Takagi, E. Mas, S. Kure, B. Adriano, C. YI, V. Roeber “Spatial variation of damage due to storm surge and waves during Typhoon Haiyan in the Philippines,” 土木学会論文集 B2 (海岸工学), 2014
  47. B. Adriano, H. Gokon, E. Mas, S. Koshimura, W. Liu, M. Matsuoka “Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data,” Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 2014
  48. E. Mas, H. Takagi, B. Adriano, S. Hayashi, S. Koshimura “Analysis of Tsunami Evacuation Issues Using Agent Based Modeling. A Case Study of the 2011 Tohoku Tsunami in Yuriage, Natori.,” AGU Fall Meeting Abstracts, 2014
  49. E. Mas, S. Kure, J. Bricker, B. Adriano, C. Yi, A. Suppasri, S. Koshimura “Field survey and damage inspection after the 2013 Typhoon Haiyan in The Philippines,” 土木学会論文集 B2 (海岸工学), 2014
  50. E. Mas, S. Koshimura, F. Imamura, A. Suppasri, A. Muhari, B. Adriano “Tsunami evacuation simulation-case studies for tsunami mitigation at Indonesia, Thailand and Japan,” 2014 4th International Conference On Simulation And Modeling Methodologies, Technologies And Applications (SIMULTECH), 2014
  51. W. Liu, M. Matsuoka, B. Adriano, E. Mas, S. Koshimura “Damage detection due to the typhoon haiyan from high-resolution SAR images,” Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 2014
  52. B. Adriano, E. Mas, S. Koshimura, Y. Fujii “Remote Sensingbased Assessment of Tsunami Vulnerability in the coastal area of Lima, Peru,” The 10th International Workshop on Remote Sensing for Disaster Management, 2012
  53. B. Adriano, S. Koshimura, Y. Fujii “Tsunami source and inundation modeling of the June 2001 Peru earthquake,” Joint Conference Proceedings 9CUEE/4ACEE, 2012
  54. E. Mas, B. Adriano, S. Koshimura, F. Imamura, J. Kuroiwa, F. Yamazaki, Z. Carlos, M. Estrada “EVALUATION OF TSUNAMI EVACUATION BUILDING DEMAND THROUGH THE MULTI-AGENT SYSTEM SIMULATION OF RESIDENTS’BEHAVIOR,” Proceedings of Coastal Engineering, JSCE, 2012
  55. E. Mas, B. Adriano, S. Koshimura, F. Imamura, J. Kuroiwa, F. Yamazaki, C. Zavala, M. Estrada “Identifying Evacuees' Demand of Tsunami Shelters using Agent Based Simulation,” AGU Fall Meeting Abstracts, 2012
  56. C. Jimenez, B. Adriano, S. Koshimura, Y. Fujii “The tsunami of Camana 2001,” 8th international conference on urban earthquake engineering, 2011
Full list on ResearchMap
  1. B. Adriano, N. Yokoya, J. Xia, J. Baier “Big Earth Observation Data Processing for Disaster Damage Mapping,” In: Handbook of Big Geospatial Data, pp. 99--118. Springer, Cham, 2021.
  2. B. Adriano, E. Mas, S. Koshimura, Y. Fujii, H. Yanagisawa, M. Estrada “Revisiting the 2001 Peruvian Earthquake and Tsunami Impact Along Camana Beach and the Coastline Using Numerical Modeling and Satellite Imaging,” In: Tsunamis and Earthquakes in Coastal Environments, Coastal Research Library vol. 14, pp. 1–16. Springer, Cham, 2016.
  3. E. Mas, B. Adriano, J.H. Horiuchi, S. Koshimura “Reconstruction Process and Social Issues After the 1746 Earthquake and Tsunami in Peru,” In: Post-Tsunami Hazard, Advances in Natural and Technological Hazards Research vol. 44, pp. 97–109. Springer, Cham, 2015.
  4. E. Mas, B. Adriano, S. Koshimura, F. Imamura, J.H. Koroiwa, F. Yamazaki, C. Zavala, M. Estrada “Identifying Evacuees' Demand of Tsunami Shelters Using Agent Based Simulation,” In: Tsunami Events and Lessons Learned, Advances in Natural and Technological Hazards Research vol. 35, pp. 347–358. Springer, Dordrecht, 2014.