Preprints
https://doi.org/10.5194/nhess-2017-46
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-2017-46
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
13 Feb 2017
13 Feb 2017
Status: this preprint has been retracted.
Brief Communication: Use of multicopter drone optical images for landslide mapping and characterization
- Department of Earth science, University of Florence, Via La Pira 4, 50121, Italy
- Department of Earth science, University of Florence, Via La Pira 4, 50121, Italy
Abstract. The Department of Earth Sciences of Florence (DST) has developed a new type of drone chassis., Several survey campaigns were performed in Ricasoli village, in the Upper Arno river Valley (Tuscany, Italy) with the drone equipped with an optical camera, to understand the possibility of this rising technology to map and to characterize landslides. The aerial RGB images were analysed and combined using SfM (Structure from Motion) software. The comparative analysis of the obtained DTMs allowed an accurate reconstruction and mapping of the detected landslides. The collected data also allowed to precisely detect some slope portions prone to failure and to evaluate the area and volume of the involved masses.
How to cite. Rossi, G., Tanteri, L., Tofani, V., Vannocci, P., Moretti, S., and Casagli, N.: Brief Communication: Use of multicopter drone optical images for landslide mapping and characterization, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2017-46, 2017.
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Guglielmo Rossi et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
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RC1: 'Referee comments and edits', Roger Macleod, 27 Feb 2017
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AC1: 'Answer to the referee', Veronica Tofani, 27 Apr 2017
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AC1: 'Answer to the referee', Veronica Tofani, 27 Apr 2017
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RC2: 'Second referee comments', Francesco Marinello, 06 May 2017
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AC2: 'Answer to reviewer 2', Tanteri Luca, 05 Jun 2017
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AC2: 'Answer to reviewer 2', Tanteri Luca, 05 Jun 2017
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Referee comments and edits', Roger Macleod, 27 Feb 2017
-
AC1: 'Answer to the referee', Veronica Tofani, 27 Apr 2017
-
AC1: 'Answer to the referee', Veronica Tofani, 27 Apr 2017
-
RC2: 'Second referee comments', Francesco Marinello, 06 May 2017
-
AC2: 'Answer to reviewer 2', Tanteri Luca, 05 Jun 2017
-
AC2: 'Answer to reviewer 2', Tanteri Luca, 05 Jun 2017
Guglielmo Rossi et al.
Guglielmo Rossi et al.
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Cited
6 citations as recorded by crossref.
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Rock Mass Characterization of Karstified Marbles and Evaluation of Rockfall Potential Based on Traditional and SfM-Based Methods; Case Study of Nestos, Greece G. Papathanassiou et al. 10.3390/geosciences10100389
- Multitemporal Mapping of Post-Fire Land Cover Using Multiplatform PRISMA Hyperspectral and Sentinel-UAV Multispectral Data: Insights from Case Studies in Portugal and Italy G. Lazzeri et al. 10.3390/s21123982
- Properties of fault zones and their influences on rainfall-induced landslides, examples from Alborz and Zagros ranges M. Ehteshami-Moinabadi 10.1007/s12665-022-10283-2
- Utilization of unmanned aerial vehicle photogrammetric technology for analysis of landslide areas M. Ihsan et al. 10.1088/1755-1315/683/1/012102
- UAV-Based Evaluation of Rockfall Hazard in the Cultural Heritage Area of Kipinas Monastery, Greece I. Konstantinidis et al. 10.3390/app11198946
Discussed
Latest update: 08 Aug 2022
Short summary
The Department of Earth Sciences of Florence (DST) has developed a new type of drone chassis that has been equipped with an optical camera to map landslides. The images acquired during the aerial drone surveys allowed to obtain a continuous 3D surface model of the studied area using a photogrammetric approach.The drone survey has proven to be an easier and more cost- and time-effective approach with respect to other techniques to mpa landslides.
The Department of Earth Sciences of Florence (DST) has developed a new type of drone chassis...
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