Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan–Tibet Railway

Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan–Tibet Railway

The prediction of geothermal high-temperature anomalies along the plateau railway will be helpful in the construction of the project and its later management. Taking the Sichuan–Tibet railway as the study area and based on Landsat8 thermal infrared images, map data, and measured data regarding the c...

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Bibliographic Details
Main Authors: Wenbo Zhao, Qing Dong, Zhe Chen, Tao Feng, Dong Wang, Liangwen Jiang, Shihui Du, Xiaoyu Zhang, Deli Meng, Min Bian, Jianping Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
quantitative prediction
information model
geothermal anomaly area
combined entropy of geological formation
weights of evidence
Online Access:https://www.mdpi.com/2072-4292/13/9/1606

Internet

https://www.mdpi.com/2072-4292/13/9/1606

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