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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1-2024
https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-495-2024
© Author(s) 2024. 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-XLVIII-1-2024-495-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
10 May 2024
| 10 May 2024
Fast and accurate Zero-defect manufacturing using collaborative real-time photogrammetry
Francesco Messina
Department of Electronics and Telecommunications (DET), PoliTO Interdepartmental Centre for Service Robotics (PIC4SeR); Politecnico di Torino, Corso Ferrucci 112, 10138, Italy
Andrea Maria Lingua
Department of Environment, Land and Infrastructure Engineering (DIATI); Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Italy
Alessio Martino
Department of Environment, Land and Infrastructure Engineering (DIATI); Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Italy
Francesca Matrone
Department of Environment, Land and Infrastructure Engineering (DIATI); Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Italy
Paolo Maschio
Department of Environment, Land and Infrastructure Engineering (DIATI); Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Italy
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Francesco Avanzi, Alberto Bianchi, Alberto Cina, Carlo De Michele, Paolo Maschio, Diana Pagliari, Daniele Passoni, Livio Pinto, Marco Piras, and Lorenzo Rossi
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Revised manuscript not accepted
Short summary
Short summary
We compare three different instruments used to collect snow depth, i.e., photogrammetric surveys using Unmanned Aerial Systems (UAS), a 3D laser scanning, and manual probing. The relatively high density of manual data (135 pt over 6700 m2, i.e., 2 pt/100 m2) enables to assess the performance of UAS in capturing the marked spatial variability of snow. Results suggest that UAS represent a competitive choice among existing techniques for high-precision, high-resolution remote sensing of snow.
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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