Pre-seismic anomalies from optical satellite observations: a review
ZH Jiao, J Zhao, X Shan - Natural Hazards and Earth System …, 2018 - nhess.copernicus.org
Detecting various anomalies using optical satellite data prior to strong earthquakes is key to
understanding and forecasting earthquake activities because of its recognition of thermal …
understanding and forecasting earthquake activities because of its recognition of thermal …
Radiochemical processing of nuclear-reactor-produced radiolanthanides for medical applications
M Van de Voorde, K Van Hecke, T Cardinaels… - Coordination Chemistry …, 2019 - Elsevier
Several radiolanthanides find their application in nuclear medicine because of their
favorable decay properties, the most important ones being 143 Pr, 149 Pm, 153 Sm, 165 Dy …
favorable decay properties, the most important ones being 143 Pr, 149 Pm, 153 Sm, 165 Dy …
Scrutinizing and rooting the multiple anomalies of Nepal earthquake sequence in 2015 with the deviation–time–space criterion and homologous lithosphere …
L Wu, Y Qi, W Mao, J Lu, Y Ding… - Natural Hazards and …, 2023 - nhess.copernicus.org
The continuous increasing of Earth observations benefits geosciences and seismicity study
but increases greatly the difficulties in understanding and discriminating multiple source …
but increases greatly the difficulties in understanding and discriminating multiple source …
A robust method for filling the gaps in MODIS and VIIRS land surface temperature data
Satellite-derived land surface temperatures (LSTs) are a critical parameter in various fields.
Unfortunately, there are numerous gaps in LST products due to cloud contamination and …
Unfortunately, there are numerous gaps in LST products due to cloud contamination and …
[HTML][HTML] Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data
Land surface temperature (LST) plays a dominant role in the surface energy budget (SEB)
and hydrological cycling. Thermal infrared (TIR) remote sensing is the primary method of …
and hydrological cycling. Thermal infrared (TIR) remote sensing is the primary method of …
Pronounced changes in thermal signals associated with the Madoi (China) M 7.3 earthquake from passive microwave and infrared satellite data
Thermal variations in surface and atmosphere observed from multiple satellites prior to
strong earthquakes have been widely reported ever since seismic thermal anomalies were …
strong earthquakes have been widely reported ever since seismic thermal anomalies were …
Pre-earthquake MBT anomalies in the Central and Eastern Qinghai-Tibet Plateau and their association to earthquakes
S Liu, Y Cui, L Wei, W Liu, M Ji - Remote Sensing of Environment, 2023 - Elsevier
Thermal anomalies prior to large and hazardous earthquakes have been extensively
detected by thermal infrared and microwave remote sensing techniques. However, few of …
detected by thermal infrared and microwave remote sensing techniques. However, few of …
Quasi-coseismic variations and geosphere coupling associated with the strong 2023 Turkey earthquakes
On 6 February 2023, two massive shallow earthquakes of Mw 7.8 and Mw 7.5 occurred
successively in Turkey. Unlike earlier studies on pre-seismic anomalous signals, here we …
successively in Turkey. Unlike earlier studies on pre-seismic anomalous signals, here we …
[HTML][HTML] The multiple snow data assimilation system (MuSA v1. 0)
E Alonso-González, K Aalstad… - Geoscientific Model …, 2022 - gmd.copernicus.org
Accurate knowledge of the seasonal snow distribution is vital in several domains including
ecology, water resources management, and tourism. Current spaceborne sensors provide a …
ecology, water resources management, and tourism. Current spaceborne sensors provide a …
Pre-seismic temporal integrated anomalies from multiparametric remote sensing data
Z Jiao, X Shan - Remote Sensing, 2022 - mdpi.com
Pre-seismic anomalies have the potential to indicate imminent strong earthquakes in the
short to medium terms. However, an improved understanding of the statistical significance …
short to medium terms. However, an improved understanding of the statistical significance …