Published by Springer as of January 2017

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.

Founded in 1926 under the former name Bildmessung und Luftbildwesen, PFG is worldwide the oldest journal on photogrammetry. It is the official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) and welcomes the submission of English and German language articles at:
http://www.editorialmanager.com/pfge

Information on the society can be found at:
http://www.dgpf.de

  • Provides a wide-ranging coverage of photogrammetry, remote sensing and geoinformation issues since 1926
  • Offers full-color for all illustrations in its print and electronic version without charge to the authors
  • Official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF)

Journal information

Editor-in-Chief
  • Wolfgang Kresse
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.857 (2020)
Impact factor
1.758 (2020)
Five year impact factor
84 days
Submission to first decision
237 days
Submission to acceptance
33,750 (2020)
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Latest articles

  1. Reports

    • Content type: Reports
    • Published: 01 June 2021
    • Pages: 293 - 298
This journal has 37 open access articles

Journal updates

  • Call for Papers: Advanced methods and applications in Remote Sensing for Forestry and Agroforestry.

    In this special issue, we would like to offer an unique compilation of original papers focusing on advanced methods in the field of remote sensing for forestry and agroforestry. In particular, we want to highlight new methods, techniques and applications that take advantage of the new opportunities of high-resolutional fused data and advanced analysis methods.


    Guest Editors: Peter Krzystek from Munich University of Applied Sciences and Georg Bareth from Cologne University.

    The deadline for submitting papers is June 30, 2021

  • Call for Papers: Ultra-high resolution remote sensing of crops using unmanned and manned airborne systems

    Authors are invited to contribute to this Special Issue on Ultra-high resolution remote sensing of crops by submitting research papers on the following topics:

    • UAV- or MAS-based crop monitoring in ultra-high spatial resolution (< 10 cm)
    •  Deriving non-destructive crop traits
    •  PhenotypingSensors (LiDAR, optical, hyperspectral, multispectral, SAR)
    • New platforms (UAVs, MASs)
    • Vegetation indices
    • Image classification
    • 3D point analysis
    • Machine learning approaches
    • Multisensor, multitemporal, multiresolution data
    • Integration and data fusion approaches
    • Applications from field experiments
    • Applications from farmers fields


    Guest Editors: Peter Krzystek from Munich University of Applied Sciences and Georg Bareth from Cologne University 



    Deadline for submitting papers is September 30th, 2021

  • Call for papers: Recent Developments in Multi-Media and Underwater Photogrammetry

    Contributions on the following topics are welcome:


    - 3D reconstruction from multi-media imagery
    - New sensor systems and platforms for 3D and 3D underwater imaging
    - Approaches and algorithms for sensor positioning and navigation under water
    - System design guidelines and standards
    - Sensor and system calibration
    - Underwater dynamic scene analysis
    - Machine learning
    - Innovative multi-media applications, case studies
    - Performance evaluations


    Deadline for online submission of manuscripts: 30th. September 2021

    Guest editors


    Prof. Dr. Thomas Luhmann, Jade University of Applied Sciences Oldenburg, Institute for Applied Photogram-metry & Geoinformatics, Ofener Str. 16, D-26121 Oldenburg, Germany, e-mail thomas.luhmann@jade-hs.de



    Prof. Dr. Hans-Gerd Maas, Technische Universität Dresden, Institute for Photogrammetry and Remote Sens-ing, Helmholtzstr. 10, D-01069 Dresden, Germany, e-mail: hans-gerd.maas@tu-dresden.de


View all updates

About this journal

Electronic ISSN
2512-2819
Print ISSN
2512-2789
Co-Publisher information
German Society for Photogrammetry, Remote Sensing and Geoinformation
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  10. ProQuest-ExLibris Primo
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  12. SCImago
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  15. Semantic Scholar
  16. TD Net Discovery Service
  17. UGC-CARE List (India)
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© Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V.