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)
Downloads

Latest articles

  1. Report

    • Content type: Reports
    • Published: 25 November 2021
This journal has 42 open access articles

Journal updates

  • 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 December 31st, 2021

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
Abstracted and indexed in
  1. CLOCKSS
  2. CNKI
  3. CNPIEC
  4. Dimensions
  5. EBSCO Discovery Service
  6. Google Scholar
  7. INIS Atomindex
  8. Japanese Science and Technology Agency (JST)
  9. Journal Citation Reports/Science Edition
  10. Naver
  11. OCLC WorldCat Discovery Service
  12. Portico
  13. ProQuest-ExLibris Primo
  14. ProQuest-ExLibris Summon
  15. SCImago
  16. SCOPUS
  17. Science Citation Index Expanded (SciSearch)
  18. Semantic Scholar
  19. TD Net Discovery Service
  20. UGC-CARE List (India)
Copyright information

Rights and permissions

Springer policies

© Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V.