From December 11 – 13, 2023, Do Ngoc Khanh (a.k.a. Satoru, doctoral candidate) and Chinchuthakun Worameth (a.k.a. Tan, 2nd year master’s student) presented their papers in the prestigious “Conference on Hydraulic Engineering” organized by the Japan Society of Civil Engineers. This year, the conference was held at the Osaka University Nakanoshima Center.
Satoru and Tan presented on the morning of December 13, 2023 in separate sessions. Satoru’s talk was about the conjoined effects of anthropogenic heat emission changes and global warming on heat wave events in various cities (Delhi, London, and Tokyo). His work also uses future projections from the CMIP6 using the pseudo-global-warming method and the Weather Research and Forecasting (WRF) model. Meanwhile, Tan presented his work on developing an open-source tool, which will allow users to create land cover maps for any area of interest using Landsat images throughout the past. His work utilizes deep learning and various bands of Landsat images, which advances common approaches in machine learning. The tool will allow modellers or planners to investigate past land cover situations at high spatial resolution.
Although the conference title indicates hydraulic engineering, the papers’ scope covers all geophysical processes that deal with hydrology. We have been actively presenting our research advancements in the area with Kanda laboratory.
The following publications related to their presentation will be publicly available online soon (J-STAGE).
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Khanh, D.N.; Varquez, A.C.G.; Kanda, M. "Multi-megacity Investigation of Heat Wave Events Under Various Climate Change and Urbanization Scenarios" Chinchuthakun, W.; Winderl, D.; Varquez, A.C.G.; Yamashita, Y.; Kanda, M. "Annual past-present land cover classification from landsat using deep learning for urban agglomerations"
- Khanh, D.N.; Varquez, A.C.G.; Kanda, M. "Multi-megacity Investigation of Heat Wave Events Under Various Climate Change and Urbanization Scenarios" Chinchuthakun, W.; Winderl, D.; Varquez, A.C.G.; Yamashita, Y.; Kanda, M. "Annual past-present land cover classification from landsat using deep learning for urban agglomerations"
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