Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with Multi Source Heterogeneous Data

Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with Multi Source Heterogeneous Data

Forest fires have frequently occurred and caused great harm to people’s lives. Many researchers use machine learning techniques to predict forest fires by considering spatio-temporal data features. However, it is difficult to efficiently obtain the features from large-scale, multi-source, heterogene...

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Bibliographic Details
Main Authors: Xingtong Ge, Yi Yang, Ling Peng, Luanjie Chen, Weichao Li, Wenyue Zhang, Jiahui Chen
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
forest fire prediction
knowledge graph
spatio-temporal data
machine learning
multi-source heterogeneous data fusion
Online Access:https://www.mdpi.com/2072-4292/14/14/3496

Internet

https://www.mdpi.com/2072-4292/14/14/3496

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