LUIS ANGEL MOYA HUALLPA

LUIS ANGEL MOYA HUALLPA

LUIS ANGEL MOYA HUALLPA

Doctor of Philosophy, chiba university

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Maestro en Ciencias (UNIVERSIDAD NACIONAL DE INGENIERIA)

DOCENTE ORDINARIO - ASOCIADO
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Civil

Publicaciones

Se encontraron 40 publicaciones

MOYA, L. A.; PORTILLO, A. R.; SANTA CRUZ HIDALGO, S.; TARQUE, S. N.(2023). SEMI-SUPERVISED CLASSIFICATION OF COLLAPSED BUILDING USING REMOTE SENSING, IN-PLACED SENSORS, AND FRAGILITY FUNCTIONS. En International Geoscience and Remote Sensing Symposium. (pp. 1680 - 1683). IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10281731
Garcia, M.; Murao, O.; Bachri, S.; MOYA, L. A.(2022). Land-Use microsimulation model for livelihood diversification after the 2010 Merapi volcano eruptions. Transportation Research Part D: Transport and Environment. Volumen: 104. Recuperado de: https://www.sciencedirect.com/science/article/pii/S1361920922000207#!
MOYA, L. A.; Mas, E.; Koshimura, S.(2022). Sparse Representation-Based Inundation Depth Estimation Using SAR Data and Digital Elevation Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (pp. 1 - 11). Recuperado de: https://ieeexplore.ieee.org/document/9924589
MOYA, L. A.; Garcia, F.; Gonzales, C.; Díaz, M.; Zavala, C.; Estrada, M.; Yamazaki, F.; Koshimura, S.; Mas, E.; Adriano, B.(2022). Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru. Natural Hazards and Earth System Sciences. Volumen: 22. (pp. 65 - 70). Recuperado de: https://nhess.copernicus.org/articles/22/65/2022/nhess-22-65-2022.html
Garay, R.; MOYA, L. A.; Gonzales, C.; Lazares, F.; Zavala, C.; Yamazaki, F.; Calderon, D.; Huerta, K.(2022). Development of an Interpolation Scheme for Seismic Indexes in Lima Metropolitan, Peru. Tecnia. Volumen: 32. (pp. 5 - 11). Recuperado de: http://www.revistas.uni.edu.pe/index.php/tecnia/article/view/1346
MOYA, L. A.; Geiß, C.; Hashimoto, M.; Mas, E.; Koshimura, S.; Strunz, G.(2021). Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification. IEEE Transactions on Geoscience and Remote Sensing. Volumen: 59. (pp. 8288 - 8304). Recuperado de: https://ieeexplore.ieee.org/document/9321713
Nagasawa, R.; Mas, E.; MOYA, L. A.; Koshimura, S.(2021). Model-based analysis of multi-UAV path planning for surveying postdisaster building damage. Scientific Reports. Volumen: 11. Recuperado de: https://www.nature.com/articles/s41598-021-97804-4