Publications
Minho Kim, Pais, C., & Gonzalez, M. C. (2025). Fire Spread Simulations Using Cell2Fire on Synthetic and Real Landscapes. Scientific Reports
Paper Natural Hazards WildfireYao, X., Minho Kim, Dronova, I., et al. (2025). Community-scale microclimate simulation using Airborne Laser Scanning and object-based urban tree classification. Landscape and Urban Planning, 263, 105420
Paper Machine Learning Remote Sensing UrbanPais, C., Minho Kim, Xu, Y., Radke, J., Gonzalez, M. (2024). An interdisciplinary data-science approach to managing natural hazards risk. arxiv, 2407.07270
Preprint Natural Hazard WildfireYao, X., Minho Kim. (2023). A Lidar-based Method for 3D Urban Forest Evaluation and Microclimate Assessment, a Case Study in Portland, Oregon, USA. 2023 AGU, San Francisco, CA, USA.
Conference Machine Learning Remote Sensing UrbanYao, X., Minho Kim. (2023). Exploratory remote sensing data analysis and clustering of urban vegetation and land surface temperature in Portland, Oregon. 2023 IGARSS, Pasadena, CA, USA.
Conference Machine Learning Remote Sensing UrbanMinho Kim, Dronova, I., Radke, J. (2023). Semantic Segmentation of Enhanced Landform Maps Using High Resolution Satellite Images. 2023 IGARSS, Pasadena, CA, USA.
Conference Machine Learning Remote SensingMinho Kim, Jeong, D., Kim, Y. (2021). Local climate zone classification using a multi-scale, multi-level attention network. ISPRS Journal of Photogrammetry and Remote Sensing, 181, 345-366.
Paper Machine Learning Remote Sensing UrbanMinho Kim, Cho, K., Kim, H., Kim, Y. (2021). Mapping inaccessible areas using deep learning based semantic segmentation of VHR satellite images with OpenStreetMap data. 2021 ISRS, Online.
Conference Machine Learning Remote Sensing UrbanMinho Kim, Song, H., & Kim, Y. (2020). Direct short-term forecast of photovoltaic power through a comparative study between COMS and Himawari-8 meteorological satellite images in a deep neural network. Remote Sensing, 12(15), 2357.
Paper Machine Learning Remote SensingMinho Kim, Jung, M., Kim, Y. (2019). Histogram matching of Sentinel-2 spectral information to enhance Planetscope imagery for effective wildfire damage assessment. KJRS, 35(4), 517-534.
Paper Natural Hazards Remote Sensing WildfireMinho Kim, Cho, K., Kim, H., Kim, Y. (2019). Fusion of High Resolution Land Surface Temperature Using Thermal Sharpened Images from Regression-based Urban Indices. 2020 ISPRS Congress, Nice, France.
Conference Remote Sensing UrbanKim, G.,Song, H., Minho Kim, Kim, Y. (2019). Multimodal Merging of Satellite Imagery with Meteorological and Power Plant Data in Deep Convolutional Neural Network for Short-Term Solar Energy Prediction. 2019 ACRS, Daejeon, South Korea.
Conference Natural Hazards Remote Sensing WildfireMinho Kim, Kim, Y. (2019). Integration of Sentinel-2 Spectral Information with High Spatial Resolution Planetscope Imagery for Wildfire Damage Assessment. 2019 ACRS, Daejeon, South Korea.
Conference Natural Hazards Remote Sensing WildfireSong, H., Kim, G.,Minho Kim, Kim, Y. (2019). Short-Term Forecasting of Photovoltaic Power Integrating Multi-Temporal Meteorological Satellite Imagery in Deep Neural Network. 2019 IEEE APPEEC, Macao.
Conference Machine Learning Remote SensingMinho Kim, Kim, Y. (2019). Monitoring the Catastrophic 2018 Mendocino Complex Wildfire Using the Sentinel Constellation. ISRS 2019, Taiwan.
Conference Natural Hazards Remote Sensing WildfireKim, Y., Minho Kim, Choi, J., Kim, Y. (2017). Image fusion of spectrally nonoverlapping imagery using SPCA and MTF-based filters. IEEE GRSL, 14(12), 2295-2299.
Paper Remote Sensing