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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIX-B2-2026
https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-261-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-261-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
23 Jul 2026
| 23 Jul 2026
Improving handheld Laser Scanning Point Cloud Quality in Forests via RTK-GNSS integrated SLAM
Carolin Rünger
Institute of Photogrammetry and Remote Sensing, Dresden University of Technology, 01069 Dresden, Germany
Stefan Binapfl
Geodetic Institute, Dresden University of Technology, 01069 Dresden, Germany
Sophia Böhme
Institute of Photogrammetry and Remote Sensing, Dresden University of Technology, 01069 Dresden, Germany
Ferdinand Maiwald
Geodetic Institute, Dresden University of Technology, 01069 Dresden, Germany
Anette Eltner
Institute of Photogrammetry and Remote Sensing, Dresden University of Technology, 01069 Dresden, Germany
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The rise of new technologies such as drones (unmanned aerial systems – UASs) has allowed widespread use of image velocimetry techniques in place of more traditional, usually slower, methods during hydrometric campaigns. In order to minimize the velocity estimation errors, one must stabilise the acquired videos. In this research, we compare the performance of different UAS video stabilisation tools and provide guidelines for their use in videos with different flight and ground conditions.
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SOIL Discuss., https://doi.org/10.5194/soil-2021-85, https://doi.org/10.5194/soil-2021-85, 2021
Revised manuscript not accepted
Short summary
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Intensified extreme weather events due to climate change can result in changes of soil erosion. These unclear developments make an improvement of soil erosion modelling all the more important. Assuming that soil erosion models cannot keep up with the current data, this work gives an overview of 44 models, their strengths and weaknesses and discusses their potential for further development with respect to new and improved soil and soil erosion assessment techniques.
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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