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dc.contributor.authorHassini, Abdelatif-
dc.date.accessioned2020-01-26T13:31:10Z-
dc.date.available2020-01-26T13:31:10Z-
dc.date.issued2017-04-25-
dc.identifier.issn1663-4144-
dc.identifier.urihttps://ds.univ-oran2.dz:8443/jspui/handle/123456789/2886-
dc.description.abstractThermal anomaly; Earthquake; RST; MODIS satellite data; LST; Ambient temperature Abstract. Thermal anomaly Detection prior to earthquake events has been widely confirmed by researchers over the past decade. In this paper, we use robust satellite technique approach (RST) 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-ELBEIDA). The results confirm the importance of robust satellite technique as an approach highly effective for prediction and monitoring the earthquakes.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Engineering Research in Africaen_US
dc.subjectThermal anomaly; Earthquake; RST; MODIS satellite data; LST; Ambient temperatureen_US
dc.titleRemote Sensed Land Surface Temperature Anomalies for Earthquake Predictionen_US
dc.typeArticleen_US
dc.number.totalPage15en_US
Collection(s) :3.Faculté des Sciences de la Terre et de l'Univers

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