PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science

Aims & Scope

PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science.

It places special editorial emphasis on the communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general.

The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.3
2024	2.10

SJR (SCImago Journal Rank)

Year	Value
2024	0.778

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	34

Journal Rank

Year	Value
2024	7040

Journal Citation Indicator

Year	Value
2024	303

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, Physics and Astronomy and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The Digital Twin of the City of Zurich for Urban Planning

  Citation: 221

  Authors: Gerhard, Christian

• Efficient Online Segmentation for Sparse 3D Laser Scans

  Citation: 82

  Authors: Igor, Cyrill

• CityGML 3.0: New Functions Open Up New Applications

  Citation: 79

  Authors: Tatjana, Kanishk, Thomas H.

• Digital geoTwin Vienna: Towards a Digital Twin City as Geodata Hub

  Citation: 57

  Authors: Hubert, Lionel

• A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information

  Citation: 47

  Authors: Katharina, Daniel, Sibylle

• Geospatial Artificial Intelligence: Potentials of Machine Learning for 3D Point Clouds and Geospatial Digital Twins

  Citation: 41

  Authors: Jürgen

• Acquisition and Consecutive Registration of Photogrammetric Point Clouds for Construction Progress Monitoring Using a 4D BIM

  Citation: 36

  Authors: Sebastian, Alexander, André, Uwe

• Augmented Reality (AR) and Spatial Cognition: Effects of Holographic Grids on Distance Estimation and Location Memory in a 3D Indoor Scenario

  Citation: 36

  Authors: Julian, Annika, Anna, Dennis, Frank

• A Hybrid Deep ResNet and Inception Model for Hyperspectral Image Classification

  Citation: 33

  Authors: Bandar, Munif

• Preserving the Knowledge of the Past Through Virtual Visits: From 3D Laser Scanning to Virtual Reality Visualisation at the Istanbul Çatalca Ä°nceÄŸiz Caves

  Citation: 30

  Authors: Gürcan, Tuna, Gözde Enç, Müge, Lale, Thomas P.

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