Spatiotemporal Correlation Characteristics Between Thermal Infrared Remote Sensing Obtained Surface Thermal Anomalies and Reconstructed 4-D Temperature Fields of Underground Coal Fires-Reference-Cited by-同舟云学术

Spatiotemporal Correlation Characteristics Between Thermal Infrared Remote Sensing Obtained Surface Thermal Anomalies and Reconstructed 4-D Temperature Fields of Underground Coal Fires

Published:2023 Issue: Volume:61 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yuan Gang¹^ORCID,Wang Yunjia¹^ORCID,Zhao Feng¹^ORCID,Yan Shiyong¹,Zhang Hua¹^ORCID,Lang Fengkai¹^ORCID,Hao Ming¹^ORCID,Cao Fei²,Peng Bin²,Dang Libo³,Feng Yougui³

Affiliation:

1. Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology (CUMT), Xuzhou, China

2. Xinjiang Uygur Autonomous Region Mine Safety Service Guarantee Center, Ürümqi, China

3. School of Environment Science and Spatial Informatics, China University of Mining and Technology (CUMT), Xuzhou, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Open Research Fund of the Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology

Xinjiang Key Research and Development Special Task

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10244099.pdf?arnumber=10244099

Reference44 articles.

1. Potential of small-baseline SAR interferometry for monitoring land subsidence related to underground coal fires: Wuda (Northern China) case study

2. Underground Coal Fire Detection and Monitoring Based on Landsat-8 and Sentinel-1 Data Sets in Miquan Fire Area, XinJiang

3. Detecting coal fires using remote sensing techniques

4. Detection of Coal Fire Dynamics and Propagation Direction from Multi-Temporal Nighttime Landsat SWIR and TIR Data: A Case Study on the Rujigou Coalfield, Northwest (NW) China

5. An enhanced spatiotemporal fusion method – Implications for coal fire monitoring using satellite imagery

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