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PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science is a peer-reviewed journal published by Springer Nature, covering Remote Sensing and LiDAR Applications, 3D Surveying and Cultural Heritage, Remote Sensing in Agriculture.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science 12, 45–58 (2023).
Formats any DOI in PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science style. No sign-up. |
| Publishes research in | Remote Sensing and LiDAR Applications 3D Surveying and Cultural Heritage Remote Sensing in Agriculture Remote-Sensing Image Classification Robotics and Sensor-Based Localization |
| ISSN | 2512-2789 |
| Citation impact (2-yr) | 2.31 |
| h-index | 32 |
| i10-index | 91 |
| Total citations | 3,810 |
| Article processing charge | $3,090 |
| Top institutions publishing here | Leibniz University Hannover |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Population growth will confront the City of Zurich with a variety of challenges in the coming years, as the increase in the number of inhabitants and jobs will lead to densification and competing land uses. The tasks for the city administration have become more complex, whereas tools and methods are often based on traditional,…
Abstract The development of the next major version 3.0 of the international OGC standard CityGML is nearing its end. CityGML 3.0 will come up with a variety of new features and revisions of existing modules that will increase the usability of CityGML for more user groups and areas of application. This includes a new space…
Local parameters for climate modelling are highly dependent on crop types and their phenological growth stage. The land cover change of agricultural areas during the growing season provides important information to distinguish crop types. The presented progressive classification algorithm identifies crop types based on their phenological development and their corresponding reflectance characteristics in multitemporal satellite…
