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Flood Data Analysis on SpaceNet 8 Using Apache Sedona
April 30, 2024, 4:47 a.m. | Yanbing Bai, Zihao Yang, Jinze Yu, Rui-Yang Ju, Bin Yang, Erick Mas, Shunichi Koshimura
cs.CV updates on arXiv.org arxiv.org
Abstract: With the escalating frequency of floods posing persistent threats to human life and property, satellite remote sensing has emerged as an indispensable tool for monitoring flood hazards. SpaceNet8 offers a unique opportunity to leverage cutting-edge artificial intelligence technologies to assess these hazards. A significant contribution of this research is its application of Apache Sedona, an advanced platform specifically designed for the efficient and distributed processing of large-scale geospatial data. This platform aims to enhance the …
abstract analysis apache artificial artificial intelligence arxiv cs.cv data data analysis edge flood hazards human intelligence life monitoring property satellite sensing technologies threats tool type unique
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