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Imen Guechi

Biographic Data

ID6416808
NAMEImen Guechi
GIVEN NAMESImen
FAMILY NAMEGuechi
SIGNATUREGUECHI I
AFFILIATIONSLarbi Ben M'hidi University of Oum El Bouaghi
ORCID0000-0002-5710-9379
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS2
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Geospatial Assessment of Physical Heat Vulnerability in Semiarid Urban Areas

    Abir Debbache, Hana Salah-Salah et al.•ARTICLE•Journal of Urban Planning and…•2026

    Heatwaves increasingly threaten urban populations, especially in semiarid regions experiencing rapid urban expansion. This study proposes a geospatial framework to assess physical heat vulnerability in Guelma, northeastern Algeria. The approach integrates satellite-derived land surface temperature (LST) as an indicator of exposure with urban and environmental sensitivity factors, weighted through the fuzzy analytic hierarchy process. Validation u…

  • Assessing the Reuse Potential of Industrial Heritage using GIS-AHP

    Open Access•Samia Bouaziz, Imen Guechi•ARTICLE•Indonesian Journal of Social…•2024

    Industrial heritage, encompassing both tangible and intangible evidence of industry history, holds profound cultural and historical significance. However, this heritage is often abandoned and neglected, as seen in the El Hamma district of Algiers, the capital of Algeria. The study aims to determine the priority order for the preservation of these industrial buildings, emphasizing the methods and priorities necessary to protect this invaluable her…

  • GIS-Multi-Criteria Analysis for the prediction of the site historic locations in the Sahara desert, Zab El Gharbi, Biskra (Algeria)

    Open Access•Imen Guechi, Halima Gherraz et al.•ARTICLE•ArchéoSciences•2024•References: 5

    Pendant des siècles, la micro-région de Zyban a été le berceau de civilisations antiques, renfermant un riche patrimoine et un potentiel archéologique d'une importance tant nationale qu'universelle. Malheureusement, ces sites historiques font aujourd'hui face à un processus inéluctable de dégradation et de disparition. La modélisation prédictive historique nous offre la possibilité de localiser ces sites cruciaux, en contournant les méthodes trad…

  • Predicting Archaeological Sites Locations in Desert Areas, Using GIS-AHP-GeoTopsis Model

    Open Access•Imen Guechi, Halima Gherraz et al.•ARTICLE•Archaeologies•2023•References: 9

  • Utilizing the MaxEnt machine learning model to forecast urban heritage sites in the desert regions of southwestern Algeria

    Open Access•Imen Guechi, Gherraz Halima et al.•ARTICLE•Archaeological Prospection•2023•Cited by: 2•References: 5

    The Saoura region, a renowned oasis in North Africa with heritage and archaeological significance of both national and universal importance, has witnessed a gradual deterioration over time. This research involves archaeological predictive modelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites, cultural resources or evidence of past landscape use within a specific region. The study specifically …

  • Unveiling the Morphology of Saharan Heritage

    Open Access•Halima Gherraz, Imen Guechi et al.•ARTICLE•Indonesian Journal of Social…•2023

    This study is dedicated to exploring the Ksurian heritage of the Algerian Sahara, aiming to reveal the abundance and variety embedded within each ksar. Employing a comprehensive analytical approach, we meticulously examine four fundamental aspects: the urban layout, the dwellings, the materials utilized, and the construction techniques employed. To accomplish this research, extensive field visits were conducted, encompassing photography, on-site …

  • Utilizing the MaxEnt machine learning model to forecast urban heritage sites in the desert regions of southwestern Algeria

    Open Access•Imen Guechi, Gherraz Halima et al.•ARTICLE•Archaeological Prospection•2023•Cited by: 2•References: 5

    The Saoura region, a renowned oasis in North Africa with heritage and archaeological significance of both national and universal importance, has witnessed a gradual deterioration over time. This research involves archaeological predictive modelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites, cultural resources or evidence of past landscape use within a specific region. The study specifically …

  • Predicting Archaeological Sites Locations in Desert Areas, Using GIS-AHP-GeoTopsis Model

    Open Access•Imen Guechi, Halima Gherraz et al.•ARTICLE•Archaeologies•2023•References: 9

  • Utilizing the MaxEnt machine learning model to forecast urban heritage sites in the desert regions of southwestern Algeria

    Open Access•Imen Guechi, Gherraz Halima et al.•ARTICLE•Archaeological Prospection•2023•Cited by: 2•References: 5

    The Saoura region, a renowned oasis in North Africa with heritage and archaeological significance of both national and universal importance, has witnessed a gradual deterioration over time. This research involves archaeological predictive modelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites, cultural resources or evidence of past landscape use within a specific region. The study specifically …

  • Unveiling the Morphology of Saharan Heritage

    Open Access•Halima Gherraz, Imen Guechi et al.•ARTICLE•Indonesian Journal of Social…•2023

    This study is dedicated to exploring the Ksurian heritage of the Algerian Sahara, aiming to reveal the abundance and variety embedded within each ksar. Employing a comprehensive analytical approach, we meticulously examine four fundamental aspects: the urban layout, the dwellings, the materials utilized, and the construction techniques employed. To accomplish this research, extensive field visits were conducted, encompassing photography, on-site …

  • Assessing the Reuse Potential of Industrial Heritage using GIS-AHP

    Open Access•Samia Bouaziz, Imen Guechi•ARTICLE•Indonesian Journal of Social…•2024

    Industrial heritage, encompassing both tangible and intangible evidence of industry history, holds profound cultural and historical significance. However, this heritage is often abandoned and neglected, as seen in the El Hamma district of Algiers, the capital of Algeria. The study aims to determine the priority order for the preservation of these industrial buildings, emphasizing the methods and priorities necessary to protect this invaluable her…

  • GIS-Multi-Criteria Analysis for the prediction of the site historic locations in the Sahara desert, Zab El Gharbi, Biskra (Algeria)

    Open Access•Imen Guechi, Halima Gherraz et al.•ARTICLE•ArchéoSciences•2024•References: 5

    Pendant des siècles, la micro-région de Zyban a été le berceau de civilisations antiques, renfermant un riche patrimoine et un potentiel archéologique d'une importance tant nationale qu'universelle. Malheureusement, ces sites historiques font aujourd'hui face à un processus inéluctable de dégradation et de disparition. La modélisation prédictive historique nous offre la possibilité de localiser ces sites cruciaux, en contournant les méthodes trad…

  • Geospatial Assessment of Physical Heat Vulnerability in Semiarid Urban Areas

    Abir Debbache, Hana Salah-Salah et al.•ARTICLE•Journal of Urban Planning and…•2026

    Heatwaves increasingly threaten urban populations, especially in semiarid regions experiencing rapid urban expansion. This study proposes a geospatial framework to assess physical heat vulnerability in Guelma, northeastern Algeria. The approach integrates satellite-derived land surface temperature (LST) as an indicator of exposure with urban and environmental sensitivity factors, weighted through the fuzzy analytic hierarchy process. Validation u…

Archaeology (5 works) · Geography (5 works) · Archaeological Research and Protection (3 works) · Analytic hierarchy process (2 works) · Archaeology and Historical Studies (2 works) · Cartography (2 works) · Climate change (2 works) · Computer Science (2 works) · Cultural Heritage Management and Preservation (2 works) · Engineering (2 works)

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