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Revue Francaise de Photogrammetrie et de Teledetection | 2024 Cite Score:1.4 | Q4

Revue Francaise de Photogrammetrie et de Teledetection Journal With Cite Score

Cite Score and Journal Rank of Revue Francaise de Photogrammetrie et de Teledetection

  • About: Revue Francaise de Photogrammetrie et de Teledetection is a peer-reviewed journal dedicated to the fields of photogrammetry and remote sensing.
  • Objective: The Revue Francaise de Photogrammetrie et de Teledetection journal aims to advance the scientific and technical knowledge in photogrammetry and remote sensing. It publishes research on various aspects including image acquisition, data processing, analysis techniques, and applications of photogrammetry and remote sensing technologies. The journal serves as a platform for researchers, practitioners, and professionals to share their findings, methodologies, and innovations in these fields.
  • Impact and Audience: The journals audience includes researchers, scientists, and professionals working in photogrammetry, remote sensing, and related fields. By providing a forum for high-quality research and discussions, the Revue Francaise de Photogrammetrie et de Teledetection plays a crucial role in the dissemination of new knowledge and technological advancements. Its impact is reflected in its contribution to the development and application of advanced techniques in photogrammetry and remote sensing.

  • Editor-in-Chief:  Ewelina Rupnik

  • Scope: Revue Française de Photogrammétrie et de Télédétection Journal is a scientific journal focusing on photogrammetry and remote sensing. It publishes research and advancements in these fields, addressing both theoretical and practical aspects.
    1. Photogrammetry: Research on techniques for obtaining measurements from photographs, including the analysis, interpretation, and application of photogrammetric data.
  • 2. Remote Sensing: Developments in the acquisition and processing of data from satellite and airborne sensors, covering various remote sensing technologies and methodologies.
  • 3. Geospatial Data Processing: Techniques and algorithms for processing and analyzing geospatial data, including data fusion, image processing, and spatial analysis.
  • 4. Mapping and Cartography: Innovations in mapping technologies and cartographic methods, including the creation and representation of geographic information.
  • 5. Applications of Photogrammetry and Remote Sensing: Case studies and practical applications of photogrammetry and remote sensing in fields such as environmental monitoring, urban planning, agriculture, and disaster management.
  • 6. Spatial Data Management: Research on the management, storage, and retrieval of spatial data, including Geographic Information Systems (GIS) and spatial databases.
  • 7. Sensor Technologies: Advances in sensor technologies used in photogrammetry and remote sensing, including sensor design, calibration, and performance evaluation.
  • 8. Data Integration and Visualization: Methods for integrating and visualizing photogrammetric and remote sensing data, including 3D modeling and visualization techniques.
  • 9. Theoretical and Methodological Advances: Contributions to the theoretical foundations and methodological advancements in photogrammetry and remote sensing.
  • 10. Educational and Professional Development: Resources and developments related to education and training in photogrammetry and remote sensing.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  17689791

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computer Science Applications, Engineering, Electrical and Electronic Engineering

  • Publication Frequency:  

  • H Index:  11

  • Best Quartile:

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    Q2:  

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    Q4:  Electrical and Electronic Engineering

  • Cite Score:  1.4

  • SNIP:  0.403

  • Journal Rank(SJR):  0.204