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  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://ds.univ-oran2.dz:8443/jspui/handle/123456789/1840" />
  <subtitle />
  <id>https://ds.univ-oran2.dz:8443/jspui/handle/123456789/1840</id>
  <updated>2026-10-29T13:10:56Z</updated>
  <dc:date>2026-10-29T13:10:56Z</dc:date>
  <entry>
    <title>Thermal method of remote sensing for prediction and monitoring Earthquake</title>
    <link rel="alternate" href="https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2888" />
    <author>
      <name>Hassini, Abdelatif</name>
    </author>
    <id>https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2888</id>
    <updated>2020-01-26T13:38:53Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Titre: Thermal method of remote sensing for prediction and monitoring Earthquake
Auteur(s): Hassini, Abdelatif
Résumé: Analyzing past earthquakes and their&#xD;
characteristics, perhaps a better understanding about the&#xD;
earthquake phenomena can be made. Pressure built-up due to&#xD;
tectonic activities and also associated subsurface degassing might&#xD;
create changes in thermal regime and if by any technique this&#xD;
change is detected, it can provide very important clues about&#xD;
future earthquake activities. Passive thermal satellite remote&#xD;
sensing which can sense the earth’s surface emissivity at regular&#xD;
interval introduces a new way of analyzing this phenomenon. A&#xD;
method using MSG-SEVIRI (METEOSAT Second Generation-&#xD;
Spinning in Visible and InfraRed Imager) thermal infrared time&#xD;
series datasets is developed and applied in this research, AEPA (&#xD;
Active Earthquake Prediction Algorithm) method can depict&#xD;
some anomalous increases in surface temperature that occur&#xD;
before an earthquake. One past earthquakes in Oran (Algeria)&#xD;
from June, 06 2008 was analyzed for studying the thermal&#xD;
changes before and after the earthquakes. The study was&#xD;
successful in detecting pre-earthquake thermal anomalies prior&#xD;
to all these earthquakes. Significant thermal anomalies with a&#xD;
rise in temperature of about 4-6°K in the vicinity of the&#xD;
epicenters have been observed. The anomalies disappeared along&#xD;
with the events.</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Thermal infrared geostationary satellite sensor data application for prediction and monitoring earthquake in Algeria</title>
    <link rel="alternate" href="https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2887" />
    <author>
      <name>Hassini, Abdelatif</name>
    </author>
    <id>https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2887</id>
    <updated>2020-01-26T13:35:42Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Titre: Thermal infrared geostationary satellite sensor data application for prediction and monitoring earthquake in Algeria
Auteur(s): Hassini, Abdelatif
Résumé: The modern operational space-borne optical sensors in the thermal&#xD;
infrared spectrum allow monitoring of the Earth’s thermal field for detection of&#xD;
pre-earthquake thermal infrared (TIR) anomaly in land surface temperature in&#xD;
and around epicentral areas. Based on the concept that stress in rocks in&#xD;
tectonically-active regions may be manifested as temperature variation through&#xD;
energy transformation process, remote sensing-based thermal technique has&#xD;
been employed recently. A new method called Active Earthquake Prediction&#xD;
Algorithm (AEPA) using an acquired thermal infrared time series satellite&#xD;
sensors datasets is developed and applied in this research. This approach can&#xD;
depict some anomalous increases in surface temperature that occur before an&#xD;
earthquake. Some past earthquakes in Algeria were analysed for studying&#xD;
successively before, during and after, and spatially close to, a significant&#xD;
earthquake continuous satellite data recording. The study was successful in&#xD;
detecting pre-earthquake thermal anomalies prior to all these natural disasters.</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Remote Sensed Land Surface Temperature Anomalies for Earthquake Prediction</title>
    <link rel="alternate" href="https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2886" />
    <author>
      <name>Hassini, Abdelatif</name>
    </author>
    <id>https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2886</id>
    <updated>2020-01-26T13:31:10Z</updated>
    <published>2017-04-25T00:00:00Z</published>
    <summary type="text">Titre: Remote Sensed Land Surface Temperature Anomalies for Earthquake Prediction
Auteur(s): Hassini, Abdelatif
Résumé: Thermal anomaly; Earthquake; RST; MODIS satellite data; LST; Ambient temperature&#xD;
Abstract. Thermal anomaly Detection prior to earthquake events has been widely confirmed by&#xD;
researchers over the past decade. In this paper, we use robust satellite technique approach (RST) on&#xD;
a collection of six years of MODIS satellite data, representing land surface temperature (LST)&#xD;
images to predict 21st May 2003 Boumerdes Algeria earthquake. The thermal anomalies results&#xD;
were compared with the ambient temperature variation measured in three meteorological stations of&#xD;
Algerian National Office of Meteorology (ONM) (DELLYS-AFIR, TIZI-OUZOU, and DAR-ELBEIDA).&#xD;
The results confirm the importance of robust satellite technique as an approach highly&#xD;
effective for prediction and monitoring the earthquakes.</summary>
    <dc:date>2017-04-25T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Realization of an Inexpensive Embedded Mini-Datalogger for Measuring and Controlling Photovoltaic System</title>
    <link rel="alternate" href="https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2885" />
    <author>
      <name>Hassini, Abdelatif</name>
    </author>
    <id>https://ds.univ-oran2.dz:8443/jspui/handle/123456789/2885</id>
    <updated>2020-01-26T13:25:50Z</updated>
    <published>2015-04-01T00:00:00Z</published>
    <summary type="text">Titre: Realization of an Inexpensive Embedded Mini-Datalogger for Measuring and Controlling Photovoltaic System
Auteur(s): Hassini, Abdelatif</summary>
    <dc:date>2015-04-01T00:00:00Z</dc:date>
  </entry>
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