Monitoring coal seam fires in Xinjiang using comprehensive thermal infrared and time series InSAR detection
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Title
Monitoring coal seam fires in Xinjiang using comprehensive thermal infrared and time series InSAR detection
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 42, Issue 6, Pages 2220-2245
Publisher
Informa UK Limited
Online
2020-12-30
DOI
10.1080/01431161.2020.1823045
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- (2015) Xiaomin Du et al. Remote Sensing
- A Study of Coal Fire Propagation with Remotely Sensed Thermal Infrared Data
- (2015) Hongyuan Huo et al. Remote Sensing
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