利用衛星影像推估淹水深度 – Think Lab

災害風險評估

利用衛星影像推估淹水深度

利用衛星影像推估淹水深度

Development of an edge computing-based sensory network to mitigate the impact of natural disasters in pond aquaculture
2 8 月, 2024・2023 GSsympo

氣候變遷情境下之臺灣颱風降雨預測：兩階段貝氏回歸模型之應用
26 4 月, 2026・第27屆全國水利工程研討會， 114年9月30日，新竹，台灣。

A Novel Multimodal Large Language Model-Based Approach for Urban Flood Detection Using Open-Access Closed Circuit Television in Bandung, Indonesia
8 11 月, 2025・Water, 17(18), 2739. (N/M=40/128=31.25%, WATER RESOURCES, 2023)

Using Physically Estimated Temperature as Inputs to Enhance the erformance of the LSTM Model for Predicting Water Temperature in Fishponds
8 11 月, 2025・Smart Agricultural Technology

Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study
1 4 月, 2025・Water 2025, 17(7), 1055. (N/M=40/128=31.25%, WATER RESOURCES, 2023)

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