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Minho Kim, Pais, C., & Gonzalez, M. C. (2025). Fire Spread Simulations Using Cell2Fire on Synthetic and Real Landscapes. Scientific Reports

Paper Natural Hazards Wildfire

Yao, 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 Urban

Pais, 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 Wildfire

Yao, 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 Urban

Yao, 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 Urban

Minho 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 Sensing

Minho 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 Urban

Minho 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 Urban

Minho 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 Sensing

Minho 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 Wildfire

Minho 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 Urban

Kim, 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 Wildfire

Minho 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 Wildfire

Song, 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 Sensing

Minho Kim, Kim, Y. (2019). Monitoring the Catastrophic 2018 Mendocino Complex Wildfire Using the Sentinel Constellation. ISRS 2019, Taiwan.

Conference Natural Hazards Remote Sensing Wildfire

Kim, 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