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환경원격탐사/인공지능 연구실 (임정호 교수님)

2022.04-05월 연구실 소식 작성 / 문의: sbkyung@unist.ac.kr (손보경)

논문게재 소식

1. Park, S., Im, J., Kim, J., & Kim, S. (2022). Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia. Environmental Pollution, 119425. 해당논문은 정지궤도 위성기반 에어로졸정보 및 모델기반 기상정보를 융합활용한 지상 미세먼지 농도 추정 연구에 관한 것으로, 기계학습기반 실시간학습을 적용하여 미세먼지 모니터링의 성능을 향상시킬 수 있었습니다. https://www.sciencedirect.com/science/article/pii/S026974912200639X

2. Cho, D., Bae, D., Yoo, C., Im, J., Lee, Y., & Lee, S. (2022). All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning. Remote Sensing, 14(8), 1815. https://www.mdpi.com/2072-4292/14/8/1815

3. Yoon, D., Kim, K., Cha, D. H., Lee, M. I., Im, J., Cho, D., & Min, K. H. (2022). Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next‐day maximum temperature in South Korea. Quarterly Journal of the Royal Meteorological Society. https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/qj.4286

4. Bhattarai, N., Liu, T., Kustas, W., Bai, Y., Mallick, K., Hu, T., Im, J., … & Jain, M. (2022). A Deep Learning-Based Ensemble Surface Energy Balance Modeling Approach to Monitor Crop Water Use and Water Stress in drylands. https://www.essoar.org/doi/abs/10.1002/essoar.10511362.1

5. Yoo, C., Im, J., Cho, D., Lee, Y., Bae, D., & Sismanidis, P. (2022). Downscaling MODIS

nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest. International Journal of Applied Earth Observation and Geoinformation, 110, 102827. https://www.sciencedirect.com/science/article/pii/S1569843222000292

그 외 IRIS 연구실 소식은 연구실 홈페이지 및 SNS에서 확인하실 수 있습니다.
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