Heterogeneous Dynamic Graph Convolutional Networks for Enhanced Spatiotemporal Flood Forecasting by Remote Sensing

Accurate and timely flood forecasting, facilitated by remote sensing technology, is crucial to mitigate the damage and loss of life caused by floods. However, despite years of research, accurate flood prediction still faces numerous challenges, including complex spatiotemporal features and varied fl...

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Ngā kaituhi matua:	Jiange Jiang, Chen Chen, Yang Zhou, Stefano Berretti, Lei Liu, Qingqi Pei, Jianming Zhou, Shaohua Wan
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	IEEE 2024-01-01
Rangatū:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ngā marau:	Deep learning dynamic graph convolution flood forecasting multivariable prediction spatiotemporal graph data
Urunga tuihono:	https://ieeexplore.ieee.org/document/10380452/
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!