the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief Communication: Use of multicopter drone optical images for landslide mapping and characterization
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.
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This preprint has been retracted.
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Preprint
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Interactive discussion
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RC1: 'Referee comments and edits', Roger Macleod, 27 Feb 2017
- AC1: 'Answer to the referee', Veronica Tofani, 27 Apr 2017
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RC2: 'Second referee comments', Francesco Marinello, 06 May 2017
- AC2: 'Answer to reviewer 2', Tanteri Luca, 05 Jun 2017
Interactive discussion
-
RC1: 'Referee comments and edits', Roger Macleod, 27 Feb 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
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Cited
7 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
- Can Drones Map Earth Cracks? Landslide Measurements in North Greece Using UAV Photogrammetry for Nature-Based Solutions P. Koutalakis et al. 10.3390/su13094697
- 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