Spatio-temporal data-driven city-level fire risk assessment and prediction modeling and applications

doi:10.11947/j.AGCS.2025.20240051

Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (10): 1910-1910.doi: 10.11947/j.AGCS.2025.20240051

• Photogrammetry and Remote Sensing • Previous Articles Next Articles

Spatio-temporal data-driven city-level fire risk assessment and prediction modeling and applications

Yulu HAO¹^,²()

^1.Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
^2.School of Safety Science, Tsinghua University, Beijing 100084, China

Received:2024-01-31 Online:2025-11-14 Published:2025-11-14
About author:HAO Yulu (1991—), female, received her doctoral degree from Southwest Jiaotong University in December 2023, majors in urban hazards assessment and prediction.　E-mail: yulu@tsinghua.edu.cn

Abstract

CLC Number:

P208

Yulu HAO. Spatio-temporal data-driven city-level fire risk assessment and prediction modeling and applications[J]. Acta Geodaetica et Cartographica Sinica, 2025, 54(10): 1910-1910.

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Spatio-temporal data-driven city-level fire risk assessment and prediction modeling and applications

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