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dc.contributor.authorHassini, Abdelatif-
dc.date.accessioned2020-01-26T08:32:37Z-
dc.date.available2020-01-26T08:32:37Z-
dc.date.issued2017-03-06-
dc.identifier.urihttps://ds.univ-oran2.dz:8443/jspui/handle/123456789/2882-
dc.description.abstractDetection of thermal anomaly prior to earthquake events has been widely confirmed by researchers over the past decade. One of the popular approaches for anomaly detection is the Robust Satellite Approach (RST). In this paper, we use this method on a collection of six years of MODIS satellite data, representing land surface temperature (LST) images to predict 21st May 2003 Boumerdes Algeria earthquake. The thermal anomalies results were compared with the ambient temperature variation measured in three meteorological stations of Algerian National Office of Meteorology (ONM) (DELLYS-AFIR, TIZI-OUZOU, and DAR-EL-BEIDA). The results confirm the importance of RST as an approach highly effective for monitoring the earthquakes.en_US
dc.language.isoenen_US
dc.publisheradvances in space researchen_US
dc.subjectThermal anomaly; Earthquake; RST; MODIS satellite data; LST; Ambient temperatureen_US
dc.titlePre-seismic Anomalies in Remotely Sensed Land Surface Temperature measurements: the Case Study of 2003 Boumerdes Earthquakeen_US
dc.typeArticleen_US
dc.number.totalPage20en_US
Collection(s) :6.Institut de Maintenance et de Sécurité Industrielle

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