Heterogeneous Dynamic Graph Convolutional Networks for Enhanced Spatiotemporal Flood Forecasting by Remote Sensing-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:17 Page:3108-3122
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Jiang Jiange¹^ORCID,Chen Chen¹^ORCID,Zhou Yang²^ORCID,Berretti Stefano³^ORCID,Liu Lei¹^ORCID,Pei Qingqi¹^ORCID,Zhou Jianming⁴^ORCID,Wan Shaohua⁵^ORCID

Affiliation:

1. School of Telecommunications Engineering, Xidian University, Xi'an, China

2. Ministry of Water Resources of China, Beijing, China

3. Department of Information Engineering, University of Florence, Florence, Italy

4. China Unicom Shenzhen Branch, Shenzhen, China

5. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Research and Development Plan of Shaanxi province

Natural Science Foundation of Guangdong Province of China

Key Project on Artificial Intelligence of Xi'an Science and Technology Plan

Xi'an Science and Technology Plan

Proof-of-Concept Fund from Hangzhou Research Institute of Xidian University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10380452.pdf?arnumber=10380452

Reference43 articles.

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2. Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir

3. Pruning of support vector networks on flood forecasting

4. A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework

5. Comparison of multilayer perceptron and radial basis function networks as tools for flood forecasting;Jayawardena;Int. Assoc. Hydrol. Sci. Publ.Ser. Proc. Rep.,1997

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