Spatial-temporal analysis of coal fire risk identification and suppression assessment with satellite time series mapping 2013-2020 in Midong coalfield, Xinjiang, China

References

• Abbas, M. R., B. B. Ahmad, and T. R. Abbas. 2014. “Use MODIS Satellite Data to Study New Phenomena of Underground Fire in the Al Ruhban Oasis in Al Najaf City, Iraq.” Environmental Earth Sciences 73 (7): 1–11. doi:10.1007/s12665-014-3632-8.
   Google Scholar
• Ani, L. 2007. “Satellite Images Classification Based Fractal Features.” Journal of Al-Nahrain University 1 (10): 79–83. doi:10.22401/JNUS.10.1.14.
   Google Scholar
• Anselin, L. 1995. “Local Indicator of Spatial Association - LISA.” Geographical Analysis 27 (2): 93–115. doi:10.1111/j.1538-4632.1995.tb00338.x.
   Web of Science ®Google Scholar
• Bao, X. 2021. “Analysis on Results of the Fifth Coalfield Fire Area Survey in Xinjiang.” China Energy and Environmental Protection 43 (2): 4.
   Google Scholar
• Barsi, J. A., J. L. Barker, and J. R. Schott. 2003. “An Atmospheric Correction Parameter Calculator for a Single Thermal Band Earth-Sensing Instrument.“ IEEE International Geoscience and Remote Sensing Symposium 5: 3014–3016. doi:10.1109/IGARSS.2003.1294665.
   Google Scholar
• Biswal, S. S., and A. K. Gorai. 2020. “Change Detection Analysis in Coverage Area of Coal Fire from 2009 to 2019 in Jharia Coalfield Using Remote Sensing Data.” International Journal of Remote Sensing 41 (24): 9545–9564. doi:10.1080/01431161.2020.1800128.
   Web of Science ®Google Scholar
• Biswal, S. S., and A. K. Gorai. 2021. “Studying the Coal Fire Dynamics in Jharia Coalfield, India Using Time-Series Analysis of Satellite Data.” Remote Sensing Applications: Society and Environment 3/W8: 100591. doi:10.1016/j.rsase.2021.100591.
   Google Scholar
• Biswal, R., Raval, S. Gorai, and A. K. Gorai. 2019. “Delineation and Mapping of Coal Mine Fire Using Remote Sensing Data – a Review.” International Journal of Remote Sensing 40 (17): 6499–6529. doi:10.1080/01431161.2018.1547455.
   Web of Science ®Google Scholar
• Bondur, V. G. 2010. “Importance of Aerospace Remote Sensing Approach to the Monitoring of Nature Fire in Russia.” International Forest Fire News 40: 43–57.
   Google Scholar
• Burt, J. E., G. M. Barber, and D. L. Rigby. 2009. Elementary Statistics for Geographers. 3rd Edition. New York: Guilford Press.
   Google Scholar
• Chen, X., J. Peng, Z. Song, Y. Zheng, and B. Zhang. 2022. “Monitoring Persistent Coal Fire Using Landsat Time Series Data from 1986 to 2020.” IEEE Transactions on Geoscience and Remote Sensing 60: 1–16. doi:10.1109/TGRS.2022.3142350.
   Web of Science ®Google Scholar
• Deng, J., S. Ge, H. Qi, F. Zhou, and B. Shi. 2021. “Underground Coal Fire Emission of Spontaneous Combustion, Sandaoba Coalfield in Xinjiang, China: Investigation and Analysis.” The Science of the Total Environment 777: 146080. doi:10.1016/j.scitotenv.2021.146080.
   PubMedGoogle Scholar
• Deng, J., F. Zhou, B. Shi, J. L. Torero, H. Qi, P. Liu, S. Ge, Z. Wang, and C. Chen. 2020. “Waste Heat Recovery, Utilization and Evaluation of Coalfield Fire Applying Heat Pipe Combined Thermoelectric Generator in Xinjiang, China.” Energy 207: 118303. doi:10.1016/j.energy.2020.118303.
   Web of Science ®Google Scholar
• Du, X., S. Bernardes, D. Cao, T. Jordan, Z. Yan, G. Yang, and Z. Li. 2015. “Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Based on ASTER Data—part 2, Validation and Sensitivity Analysis.” Remote Sensing 7 (3): 2602. doi:10.3390/rs70302602.
   Web of Science ®Google Scholar
• Du, X., D. Cao, D. Mishra, S. Bernardes, T. Jordan, and M. Madden. 2015. “Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Using ASTER Thermal Infrared Data, Part I: Methodology and Decadal Change Detection.” Remote Sensing 7 (6): 6576–6610. doi:10.3390/rs70606576.
   Web of Science ®Google Scholar
• Farhadinejad, T., S. Darvishi, M. Aliabadi, and A. Asgari. 2021. “Separation of Au, Ag, As, Cd, Cu, Hg, Mo and Sb Geochemical Anomalies Using the Concentration-Number (C-N) Fractal and Classical Statistical Models in Nahavand 1: 100,000 Sheet, Iran.” Arabian Journal of Geosciences 14 (5): 346. doi:10.1007/s12517-021-06563-z.
   Google Scholar
• Gangopadhyay, P. K., K. Lahiri-Dutt, and K. Saha. 2006. “Application of Remote Sensing to Identify Coalfires in the Raniganj Coalbelt, India.” International Journal of Applied Earth Observations & Geoinformation 8 (3): 188–195. doi:10.1016/j.jag.2005.09.001.
   Google Scholar
• García-Santos, V., J. Cuxart, D. Martínez-Villagrasa, M. Jiménez, and G. Simó. 2018. “Comparison of Three Methods for Estimating Land Surface Temperature from Landsat 8-TIRS Sensor Data.” Remote Sensing 10 (9): 1450. doi:10.3390/rs10091450.
   Web of Science ®Google Scholar
• Gautam, R. S., D. Singh, and A. Mittal. 2008. “An Efficient Contextual Algorithm to Detect Subsurface Fires with NOAA/AVHRR Data.” IEEE Transactions on Geoscience & Remote Sensing 46 (7): 2005–2015. doi:10.1109/TGRS.2008.916631.
   Google Scholar
• Guha, A., K. V. Kumar, and M. V. V. Kamaraju. 2008. “A Satellite-Based Study of Coal Fires and Open-Cast Mining Activity in Raniganj Coalfield, West Bengal.” Current Science 95 (11): 1603–1607.
   Web of Science ®Google Scholar
• Heffern, E. L., and D. A. Coates. 2004. “Geologic History of Natural Coal-Bed Fires, Powder River Basin, USA.” International Journal of Coal Geology 59 (1): 25–47. doi:10.1016/j.coal.2003.07.002.
   Google Scholar
• Huo, H., X. Jiang, X. Song, Z. -L. Li, Z. Ni, and C. Gao. 2014. “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.” Remote Sensing 6 (2): 1234–1259. doi:10.3390/rs6021234.
   Web of Science ®Google Scholar
• Huo, H., Z. Ni, C. Gao, E. Zhao, Y. Zhang, Y. Lian, H. Zhang, et al. 2015. “A Study of Coal Fire Propagation with Remotely Sensed Thermal Infrared Data.” Remote Sensing 7 (3): 3088–3113. doi:10.3390/rs70303088.
   Web of Science ®Google Scholar
• Jiang, W., K. Jia, Z. Chen, Y. Deng, and P. Rao. 2017. “Using Spatiotemporal Remote Sensing Data to Assess the Status and Effectiveness of the Underground Coal Fire Suppression Efforts During 2000–2015 in Wuda, China.” Journal of Cleaner Production 142 (PT.2): 565–577. doi:10.1016/j.jclepro.2016.03.082.
   Google Scholar
• Jiang, W., X. Zhu, J. Wu, L. Gu, G. Ma, and X. Liu. 2011. “Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China.” Chinese Geographical Science 21 (2): 159–166. doi:10.1007/s11769-011-0455-3.
   Google Scholar
• Jimenez-Munoz, J. C., J. Cristobal, J. A. Sobrino, G. Soria, M. Ninyerola, X. Pons, and X. Pons. 2009. “Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval from Landsat Thermal-Infrared Data.” IEEE Transactions on Geoscience and Remote Sensing 47 (1): 339–349. doi:10.1109/TGRS.2008.2007125.
   Web of Science ®Google Scholar
• Jimenez-Munoz, J. C., J. A. Sobrino, D. Skokovic, C. Mattar, and J. Cristobal. 2014. “Land Surface Temperature Retrieval Methods from Landsat-8 Thermal Infrared Sensor Data.” Geoscience and Remote Sensing Letters, IEEE 11 (10): 1840–1843. doi:10.1109/LGRS.2014.2312032.
   Web of Science ®Google Scholar
• Kong, B., Z. Li, E. Wang, W. Lu, L. Chen, and G. Qi. 2018. “An Experimental Study for Characterization the Process of Coal Oxidation and Spontaneous Combustion by Electromagnetic Radiation Technique.” Process Safety and Environmental Protection 119: 285–294. doi:10.1016/j.psep.2018.08.002.
   Web of Science ®Google Scholar
• Kuenzer, C., J. Zhang, J. Li, S. Voigt, H. Mehl, and W. Wagner. 19 2007. “Detecting Unknown Coal Fires: Synergy of Automated Coal Fire Risk Area Delineation and Improved Thermal Anomaly Extraction.” International Journal of Remote Sensing 28 (20): 4561–4585. doi:10.1080/01431160701250432.
   Web of Science ®Google Scholar
• Künzer, C., J. Zhang, A. Hirner, B. Yang, and Y. Sun. 2008. “Multitemporal in-Situ Mapping of the Wuda Coal Fires from 2000 to 2005 – Assessing Coal Fire Dynamics. Spontaneous Coal Seam Fires: Mitigating a Global Disaster.” ERSEC Ecological Book Series.
   Google Scholar
• Lantzanakis, G., Z. Mitraka, and N. Chrysoulakis. 2017. “Comparison of Physically and Image Based Atmospheric Correction Methods for Sentinel-2 Satellite Imagery.“ Fourth International Conference on Remote Sensing and Geoinformation of the Environmen. Heraklion, Greece. doi:10.1117/12.2242889.
   Google Scholar
• Li, F., J. Li, X. Liu, and X. Meng. 2020. “Coal Fire Detection and Evolution of Trend Analysis Based on CBERS-04 Thermal Infrared Imagery.” Environmental Earth Sciences 79 (16): 1–15. doi:10.1007/s12665-020-09125-w.
   Google Scholar
• Liu, L., and F. Zhou. 2010. “A Comprehensive Hazard Evaluation System for Spontaneous Combustion of Coal in Underground Mining.” International Journal of Coal Geology 82 (1): 27–36. doi:10.1016/j.coal.2010.01.014.
   Google Scholar
• Mishra, R. K., P. Roy, J. Pandey, A. Khalkho, and V. K. Singh. 2014. “Study of Coal Fire Dynamics of Jharia Coalfield Using Satellite Data.” International Journal of Geomatics & Geosciences 4 (3): 477–484.
   Google Scholar
• Mujawdiya, R., R. S. Chatterjee, and D. Kumar. 2022. “MODIS Land Surface Temperature Time Series Decomposition for Detecting and Characterizing Temporal Intensity Variations of Coal Fire Induced Thermal Anomalies in Jharia Coalfield, India.” Geocarto International 37 (8): 2160–2174. doi:10.1080/10106049.2020.1818853.
   Google Scholar
• Nguyen, T. T., and T. D. Vu. 2019. “Use of Hot Spot Analysis to Detect Underground Coal Fires from Landsat-8 TIRS Data: A Case Study in the Khanh Hoa Coal Field, North-East of Vietnam.” The Environment and Natural Resources Journal 17 (3): 1–10. doi:10.32526/ennrj.17.3.2019.17.
   Google Scholar
• Ord, J. K., and A. Getis. 1995. “Local Spatial Autocorrelation Statistics: Distributional Issues and an Application.” Geographical Analysis 27 (4): 286–306. doi:10.1111/j.1538-4632.1995.tb00912.x.
   Web of Science ®Google Scholar
• Praveen, B., and D. Gupta. 2017. “Multispectral-TIR Data Analysis by Split-Window Algorithm for Coal Fire Detection and Monitoring.” International Journal of Humanities and Social Science Invention 6 (4): 33–37.
   Google Scholar
• Qin, Z., A. Karnieli, and P. Berliner. 2001. “A Mono-Window Algorithm for Retrieving Land Surface Temperature from Landsat TM Data and Its Application to the Israel-Egypt Border Region.” International Journal of Remote Sensing 22 (18): 3719–3746. doi:10.1080/01431160010006971.
   Web of Science ®Google Scholar
• Raju, A., R. P. Gupta, and A. Prakash. 2013. “Delineation of Coalfield Surface Fires by Thresholding Landsat TM-7 Day-Time Image Data.” Geocarto International 28 (4): 343–363. doi:10.1080/10106049.2012.710651.
   Web of Science ®Google Scholar
• Richards, J. A. 2013. Feature Reduction. Remote Sensing Digital Image Analysis: An Introduction, 343–380. Berlin Heidelberg, Berlin, Heidelberg: Springer.
   Google Scholar
• Ripley, B. D., A. D. Cliff, and J. K. Ord. 1984. “Spatial Processes, Models and Applications.” Journal of the American Statistical Association 79 (385): 238. doi:10.2307/2288381.
   Google Scholar
• Roy, P., A. Guha, and K. V. Kumar. 2015. “Structural Control on Occurrence and Dynamics of Coalmine Fires in Jharia Coalfield: A Remote Sensing Based Analysis.” Journal of the Indian Society of Remote Sensing 43 (4): 779–786. doi:10.1007/s12524-015-0451-7.
   Google Scholar
• Sampurno, J., R. Adriat, and W. Srigutomo, 2018. “Fractal Analysis of Land Surface Temperature for Geothermal and Non-Geothermal Sites Characterization.“ Journal of Physics: Conference Series. 1028: 12198. doi:10.1088/1742-6596/1028/1/012198.
   Google Scholar
• Sobrino, J. A., J. C. Jimenez-Munoz, G. Soria, M. Romaguera, L. Guanter, J. Moreno, A. Plaza, and P. Martinez. 2008. “Land Surface Emissivity Retrieval from Different VNIR and TIR Sensors.” IEEE Transactions on Geoscience & Remote Sensing 46 (2): 316–327. doi:10.1109/TGRS.2007.904834.
   Web of Science ®Google Scholar
• Song, Z., and C. Kuenzer. 2014. “Coal Fires in China Over the Last Decade: A Comprehensive Review.” International Journal of Coal Geology 133: 72–99. doi:10.1016/j.coal.2014.09.004.
   Web of Science ®Google Scholar
• Song, Z., C. Kuenzer, H. Zhu, Z. Zhang, Y. Jia, Y. Sun, and J. Zhang. 2015. “Analysis of Coal Fire Dynamics in the Wuda Syncline Impacted by Fire-Fighting Activities Based on in-Situ Observations and Landsat-8 Remote Sensing Data.” International Journal of Coal Geology 141-142: 91–102. doi:10.1016/j.coal.2015.03.008.
   Web of Science ®Google Scholar
• Stracher, Glenn B., Ella Sokol, Prakash, Anupma, et al. 2007. “Coal Fires: Opportunity for Innovative Research in Mineralogy, Petrology, Structural Geology, and Environmental Science.”Annual meeting for the Geological Society of America. 28-31 October. Denver.
   Google Scholar
• Su, H., F. Zhou, B. Shi, H. Qi, and J. Deng. 2020. “Causes and Detection of Coalfield Fires, Control Techniques, and Heat Energy Recovery: A Review.” International Journal of Minerals, Metallurgy and Materials 27 (3): 275–291. doi:10.1007/s12613-019-1947-x.
   Google Scholar
• Syed, T. H., M. J. Riyas, and C. Kuenzer. 2018. “Remote Sensing of Coal Fires in India: A Review.” Earth-Science Reviews 187: 338–355. doi:10.1016/j.earscirev.2018.10.009.
   Web of Science ®Google Scholar
• Trinh, L. H., and V. R. Zablotskii. 2017. “The Application of LANDSAT Multi-Temporal Thermal Infrared Data to Identify Coal Fire in the Khanh Hoa Coal Mine, Thai Nguyen Province.” Vietnam Izvestiya Atmospheric & Oceanic Physics 53 (9): 1081–1087. doi:10.1134/S0001433817090183.
   Google Scholar
• Vu, D., and T. Nguyen. 2021. “Spatial Pattern of Land Surface Temperatures and Its Relation to Underground Coal Fires in the Khanh Hoa Coal Field, North-East of Vietnam.” Arabian Journal of Geosciences 14 (3): 1–15. doi:10.1007/s12517-020-06433-0.
   Google Scholar
• Vu, T. D. Tuyen, and T. T. Nguyen. 2018. “Spatio-Temporal Changes of Underground Coal Fires During 2008–2016 in Khanh Hoa Coal Field (North-East of Viet Nam) Using Landsat Time-Series Data.” Journal of Mountain Science 15 (12): 18. doi:10.1007/s11629-018-4997-z.
   Google Scholar
• Willmott, C. J., S. M. Robeson, and K. Matsuura. 2012. “A Refined Index of Model Performance.” International Journal of Climatology 32 (13): 2088–2094. doi:10.1002/joc.2419.
   Web of Science ®Google Scholar
• Xue, Y., J. Liu, J. Li, C. Shang, J. Zhao, and M. Zhang. 2018. “Use of Landsat Thermal Imagery for Dynamically Monitoring Spontaneous Combustion of Datong Jurassic Coalfields in China.” Journal of Earth System Science 127 (4): 47. doi:10.1007/s12040-018-0952-1.
   Google Scholar
• Xu, Y., H. Fan, and L. Dang. 2021. “Monitoring Coal Seam Fires in Xinjiang Using Comprehensive Thermal Infrared and Time Series InSar Detection.” International Journal of Remote Sensing 42 (6): 2220–2245. doi:10.1080/01431161.2020.1823045.
   Web of Science ®Google Scholar
• Yuan, G., Y. Wang, F. Zhao, T. Wang, L. Zhang, M. Hao, S. Yan, L. Dang, and B. Peng. 2021. “Accuracy Assessment and Scale Effect Investigation of UAV Thermography for Underground Coal Fire Surface Temperature Monitoring.” International Journal of Applied Earth Observation and Geoinformation 102: 102426. doi:10.1016/j.jag.2021.102426.
   Google Scholar
• Yu, X., X. Guo, and Z. Wu. 2014. “Land Surface Temperature Retrieval from Landsat 8 Tirs—comparison Between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method.” Remote Sensing 6 (10): 9829–9852. doi:10.3390/rs6109829.
   Web of Science ®Google Scholar
• Yu, B., J. She, G. Liu, D. Ma, R. Zhang, Z. Zhou, and B. Zhang. 2022. “Coal Fire Identification and State Assessment by Integrating Multitemporal Thermal Infrared and InSar Remote Sensing Data: A Case Study of Midong District, Urumqi, China.” ISPRS Journal of Photogrammetry and Remote Sensing 190: 144–164. doi:10.1016/j.isprsjprs.2022.06.007.
   Web of Science ®Google Scholar
• Zeng, Q., J. Dong, and L. Zhao. 2018. “Investigation of the Potential Risk of Coal Fire to Local Environment: A Case Study of Daquanhu Coal Fire, Xinjiang Region, China.” The Science of the Total Environment 640-641: 1478–1488. doi:10.1016/j.scitotenv.2018.05.135.
   PubMedGoogle Scholar
• Zhang, Y., S. R. Hu, T. Yue, X. Q. Zhang, M. D. Yu, and X. F. Li. 2014. “Environmental Effect Analysis of Coalfield Fire in Xinjiang and Its Preventive.” Advanced Materials Research 1010: 601–605. doi:10.4028/http://www.scientific.net/AMR.1010-1012.601.
   Google Scholar
• Zhang, M., J. Wang, and S. Li. 2019. “Tempo-Spatial Changes and Main Anthropogenic Influence Factors of Vegetation Fractional Coverage in a Large-Scale Opencast Coal Mine Area from 1992 to 2015.” Journal of Cleaner Production 232: 940–952. doi:10.1016/j.jclepro.2019.05.334.
   Web of Science ®Google Scholar
• Zhou, S., K. Zhou, C. Yao, J. Wang, and J. Ding. 2015. “Exploratory Data Analysis and Singularity Mapping in Geochemical Anomaly Identification in Karamay, Xinjiang, China.” Journal of Geochemical Exploration 154: 171–179. doi:10.1016/j.gexplo.2014.12.007.
   Google Scholar