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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W13
https://doi.org/10.5194/isprs-archives-XLII-2-W13-207-2019
© Author(s) 2019. 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-XLII-2-W13-207-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 Jun 2019
| 04 Jun 2019
RASPBERRY PI 3 MULTISPECTRAL LOW-COST SENSOR FOR UAV BASED REMOTE SENSING. CASE STUDY IN SOUTH-WEST NIGER
E. Belcore
Politecnico di Torino, DIATI, Department of Environment, Land and Infrastructure Engineering. Corso Duca degli Abruzzi, 24, 10129 Torino, Italia
Politecnico di Torino, DIST, Interuniversity Department of Regional and Urban Studies and Planning. Viale Pier Andrea Mattioli, 39,10125 Torino, Italia
Politecnico di Torino, DIATI, Department of Environment, Land and Infrastructure Engineering. Corso Duca degli Abruzzi, 24, 10129 Torino, Italia
A. Pezzoli
Politecnico di Torino, DIST, Interuniversity Department of Regional and Urban Studies and Planning. Viale Pier Andrea Mattioli, 39,10125 Torino, Italia
G. Massazza
Politecnico di Torino, DIST, Interuniversity Department of Regional and Urban Studies and Planning. Viale Pier Andrea Mattioli, 39,10125 Torino, Italia
M. Rosso
Politecnico di Torino, DIATI, Department of Environment, Land and Infrastructure Engineering. Corso Duca degli Abruzzi, 24, 10129 Torino, Italia
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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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