48 citations as recorded by crossref.

1. Air Flow Circulation as a Possible Cause of Preseismic Anomalies in the Near-Surface Electric Field V. Surkov https://doi.org/10.1134/S1069351324700344
2. 3-D model reveals thermal decomposition as a potential driver of seismicity in the Apennines, Italy T. Gunatilake & S. Miller https://doi.org/10.1130/B37234.1
3. Extraction and analysis of aerosol anomalies associated with multiple shallow earthquakes based on MODIS AOD products P. Lu et al. https://doi.org/10.1016/j.jag.2025.104671
4. MODIS-based estimates of strong snow surface temperature anomaly related to high altitude earthquakes of 2015 A. Bhardwaj et al. https://doi.org/10.1016/j.rse.2016.11.005
5. Reducing atmospheric noise in RST analysis of TIR satellite radiances for earthquakes prone areas satellite monitoring M. Lisi et al. https://doi.org/10.1016/j.pce.2015.07.013
6. An innovative system for sharing, integration and visualization of heterogeneous 4D-information R. Paciello et al. https://doi.org/10.1016/j.envsoft.2015.11.011
7. Can the thermal remote sensing survey be considered as an earthquake precursor? L. Piroddi & G. Ranieri https://doi.org/10.3383/es.4.1.1
8. Bio-Mimetics of Disaster Anticipation—Learning Experience and Key-Challenges H. Tributsch https://doi.org/10.3390/ani3010274
9. Robust Satellite Techniques (RST) for monitoring earthquake prone areas by satellite TIR observations: The case of 1999 Chi-Chi earthquake (Taiwan) N. Genzano et al. https://doi.org/10.1016/j.jseaes.2015.02.010
10. Scrutinizing and rooting the multiple anomalies of Nepal earthquake sequence in 2015 with the deviation–time–space criterion and homologous lithosphere–coversphere–atmosphere–ionosphere coupling physics L. Wu et al. https://doi.org/10.5194/nhess-23-231-2023
11. Simultaneous Observations of Radon Concentrations in Soils and Thermal Remote Sensing Dynamics in a Seismic Active Area. L. Piroddi et al. https://doi.org/10.3383/es.5.1.1
12. Identification of dust outbreaks on infrared MSG-SEVIRI data by using a Robust Satellite Technique (RST) F. Sannazzaro et al. https://doi.org/10.1016/j.actaastro.2013.07.003
13. The Outgoing Longwave Radiation Analysis of Medium and Strong Earthquakes B. Su et al. https://doi.org/10.1109/JSTARS.2021.3090777
14. On the possible origin of thermal infrared radiation (TIR) anomalies in earthquake-prone areas observed using robust satellite techniques (RST) V. Tramutoli et al. https://doi.org/10.1016/j.chemgeo.2012.10.042
15. A statistical analysis of TIR anomalies extracted by RSTs in relation to an earthquake in the Sichuan area using MODIS LST data Y. Zhang & Q. Meng https://doi.org/10.5194/nhess-19-535-2019
16. Passive microwave response associated with two main earthquakes in Tibetan Plateau, China F. Jing et al. https://doi.org/10.1016/j.asr.2018.06.030
17. RST Analysis of Anomalous TIR Sequences in Relation with Earthquakes Occurred in Turkey in the Period 2004–2015 C. Filizzola et al. https://doi.org/10.3390/rs14020381
18. Geosphere coupling and hydrothermal anomalies before the 2009 Mw 6.3 L'Aquila earthquake in Italy L. Wu et al. https://doi.org/10.5194/nhess-16-1859-2016
19. From high temporal resolution to synthetically enhanced radiometric resolution: insights from Night Thermal Gradient results L. Piroddi https://doi.org/10.1140/epjst/e2020-000247-x
20. Detection and Identification of Preseismic Thermal Anomalies in Cloudy Conditions Associated With the 2022 Luding (China) Mw 6.6 Earthquake F. Jing et al. https://doi.org/10.1109/TGRS.2023.3304975
21. Long-Term RST Analysis of Anomalous TIR Sequences in Relation with Earthquakes Occurred in Greece in the Period 2004–2013 A. Eleftheriou et al. https://doi.org/10.1007/s00024-015-1116-8
22. Geology, tectonics and topography underlined by L'Aquila earthquake TIR precursors L. Piroddi et al. https://doi.org/10.1093/gji/ggu123
23. Earth’s Outgoing Longwave Radiation Variability Prior to M ≥6.0 Earthquakes in the Taiwan Area During 2009–2019 C. Fu et al. https://doi.org/10.3389/feart.2020.00364
24. A New Algorithm for the Characterization of Thermal Infrared Anomalies in Tectonic Activities D. Song et al. https://doi.org/10.3390/rs10121941
25. Infrared Emission from rocks in the Thermal Infrared (TIR) window J. Scoville & F. Freund https://doi.org/10.1140/epjst/e2020-000246-4
26. Pronounced Changes in Thermal Signals Associated with the Madoi (China) M 7.3 Earthquake from Passive Microwave and Infrared Satellite Data F. Jing et al. https://doi.org/10.3390/rs14112539
27. Air Current Circulation as a Possible Cause of Preseismic Anomalies in the Surface Electric Field V. Surkov https://doi.org/10.31857/S0002333724020046
28. An Overview of Theoretical Studies of Non-Seismic Phenomena Accompanying Earthquakes V. Surkov https://doi.org/10.1007/s10712-024-09869-1
29. Earthquake-Related Signals in Central Italy Detected by Hydrogeochemical and Satellite Techniques G. Martinelli et al. https://doi.org/10.3389/feart.2020.584716
30. Artificial Neural Network based thermal anomalies associated with earthquakes in Pakistan from MODIS LST M. Shah et al. https://doi.org/10.1016/j.jastp.2021.105568
31. RST-FIRES, an exportable algorithm for early-fire detection and monitoring: description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. https://doi.org/10.1016/j.rse.2016.08.008
32. Geospace perturbations induced by the Earth: The state of the art and future trends A. De Santis et al. https://doi.org/10.1016/j.pce.2015.05.004
33. Retrospective investigation of geomagnetic field time-series during the 2009 L'Aquila seismic sequence F. Masci & M. Di Persio https://doi.org/10.1016/j.tecto.2012.01.008
34. The Central Italy Electromagnetic Network and the 2009 L'Aquila Earthquake: Observed Electric Activity C. Fidani https://doi.org/10.3390/geosciences1010003
35. RST-FIRES, an exportable algorithm for early-fire detection and monitoring: Description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. https://doi.org/10.1016/j.rse.2017.01.019
36. Geodynamically induced variations in the emission of CO2gas at San Faustino (Central Apennines, Italy) J. HEINICKE et al. https://doi.org/10.1111/j.1468-8123.2011.00345.x
37. Temperature Variations in Multiple Air Layers before the Mw 6.2 2014 Ludian Earthquake, Yunnan, China Y. Zhang et al. https://doi.org/10.3390/rs13050884
38. Night Thermal Gradient: A New Potential Tool for Earthquake Precursors Studies. An Application to the Seismic Area of L'Aquila (Central Italy) L. Piroddi & G. Ranieri https://doi.org/10.1109/JSTARS.2011.2177962
39. Analyzing correlations between GNSS retrieved precipitable water vapor and land surface temperature after earthquakes occurrence A. Guo et al. https://doi.org/10.1016/j.scitotenv.2023.162225
40. Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST Z. Lai et al. https://doi.org/10.3390/rs15051271
41. Analysis of Seismic Methane Anomalies at the Multi-Spatial and Temporal Scales X. Wang et al. https://doi.org/10.3390/rs16122175
42. The LVD signals during the early-mid stages of the L'Aquila seismic sequence and the radon signature of some aftershocks of moderate magnitude C. Cigolini et al. https://doi.org/10.1016/j.jenvrad.2014.09.017
43. Long-term statistical evidence proving the correspondence between tir anomalies and earthquakes is still absent Y. Zhang et al. https://doi.org/10.1140/epjst/e2020-000248-4
44. Statistical Correlation Analysis Between Thermal Infrared Anomalies Observed From MTSATs and Large Earthquakes Occurred in Japan (2005–2015) N. Genzano et al. https://doi.org/10.1029/2020JB020108
45. Spatially variable model for extracting TIR anomalies before earthquakes: Application to Chinese Mainland Y. Zhang et al. https://doi.org/10.1016/j.rse.2021.112720
46. Pre-earthquake MBT anomalies in the Central and Eastern Qinghai-Tibet Plateau and their association to earthquakes S. Liu et al. https://doi.org/10.1016/j.rse.2023.113815
47. Detecting seismic IR anomalies in bi-angular Advanced Along-Track Scanning Radiometer data P. Xiong et al. https://doi.org/10.5194/nhess-13-2065-2013
48. A Bayesian Approach for Forecasting the Probability of Large Earthquakes Using Thermal Anomalies from Satellite Observations Z. Jiao & X. Shan https://doi.org/10.3390/rs16091542