Luis Angel Moya Huallpa
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3D gray level co-occurrence matrix and its application to identifying collapsed buildings
L Moya, H Zakeri, F Yamazaki, W Liu, E Mas, S Koshimura
ISPRS Journal of Photogrammetry and Remote Sensing 149, 14-28, 2019
Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan
L Moya, F Yamazaki, W Liu, M Yamada
Natural Hazards and Earth System Sciences 18 (1), 65-78, 2018
Calculation of coseismic displacement from lidar data in the 2016 Kumamoto, Japan, earthquake
L Moya, F Yamazaki, W Liu, T Chiba
Natural Hazards and Earth System Sciences 17 (1), 143-156, 2017
Tsunami Damage Detection with Remote Sensing: A Review
S Koshimura, L Moya, E Mas, Y Bai
Geosciences 10 (5), 177, 2020
Detection of collapsed buildings due to the 2016 Kumamoto earthquake from Lidar data
L Moya, F Yamazaki, W Liu, T Chiba, E Mas
World Engineering Conference on Disaster Risk Reduction, Lima, Peru, 5-6, 2016
Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions
L Moya, LR Marval Perez, E Mas, B Adriano, S Koshimura, F Yamazaki
Remote Sensing 10 (2), 296, 2018
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
L Moya, A Muhari, B Adriano, S Koshimura, E Mas, LR Marval-Perez, ...
Remote Sensing of Environment 242, 111743, 2020
Model-based analysis of multi-UAV path planning for surveying postdisaster building damage
R Nagasawa, E Mas, L Moya, S Koshimura
Scientific reports 11 (1), 18588, 2021
Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon
L Moya, E Mas, S Koshimura
Remote Sensing 12 (14), 2244, 2020
An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves
L Moya, E Mas, B Adriano, S Koshimura, F Yamazaki, W Liu
International journal of disaster risk reduction 31, 1374-1384, 2018
Characteristics of Tsunami Fragility Functions Developed Using Different Sources of Damage Data from the 2018 Sulawesi Earthquake and Tsunami
E Mas, R Paulik, K Pakoksung, B Adriano, L Moya, A Suppasri, A Muhari, ...
Pure and Applied Geophysics 177 (6), 2437-2455, 2020
Synthetic building damage scenarios using empirical fragility functions: A case study of the 2016 Kumamoto earthquake
L Moya, E Mas, S Koshimura, F Yamazaki
International Journal of Disaster Risk Reduction 31, 76-84, 2018
Drawback in the Change Detection Approach: False Detection during the 2018 Western Japan Floods
L Moya, Y Endo, G Okada, S Koshimura, E Mas
Remote Sensing 11 (19), 2320, 2019
Disaster intensity-based selection of training samples for remote sensing building damage classification
L Moya, C Geiß, M Hashimoto, E Mas, S Koshimura, G Strunz
IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8288-8304, 2021
Statistical analysis of earthquake debris extent from wood-frame buildings and its use in road networks in Japan
L Moya, E Mas, F Yamazaki, W Liu, S Koshimura
Earthquake Spectra 36 (1), 209-231, 2020
Comparison of Coseismic Displacement Obtained from GEONET and Seismic Networks
L Moya, F Yamazaki, W Liu
Journal of Earthquake and Tsunami 10 (02), 1640002, 2016
Seismic Risk Regularization for Urban Changes Due to Earthquakes: A Case of Study of the 2023 Turkey Earthquake Sequence
A Portillo, L Moya
Remote Sensing 15 (11), 2754, 2023
The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework
G Okada, L Moya, E Mas, S Koshimura
Remote Sensing 13 (7), 1401, 2021
Experimental Study on Dynamic Behavior of Unreinforced Masonry Walls
T Saito, L Moya, C Fajardo, K Morita
Journal of disaster research 8 (2), 305-311, 2013
Development of calibrated tsunami evacuation models through real-world collected data: The case study of Coquimbo-La Serena, Chile
J León, E Mas, PA Catalán, L Moya, A Gubler, S Koshimura, ...
IOP Conference Series: Earth and Environmental Science 630 (1), 012005, 2021
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