Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-405-2018
https://doi.org/10.5194/nhess-18-405-2018
Research article
 | 
30 Jan 2018
Research article |  | 30 Jan 2018

Criteria for the optimal selection of remote sensing optical images to map event landslides

Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti

Related authors

A web-based GIS (web-GIS) database of the scientific articles on earthquake-triggered landslides
Luca Schilirò, Mauro Rossi, Federica Polpetta, Federica Fiorucci, Carolina Fortunato, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 23, 1789–1804, https://doi.org/10.5194/nhess-23-1789-2023,https://doi.org/10.5194/nhess-23-1789-2023, 2023
Short summary
Geomorphological landslide inventory map of the Daunia Apennines, southern Italy
Francesca Ardizzone, Francesco Bucci, Mauro Cardinali, Federica Fiorucci, Luca Pisano, Michele Santangelo, and Veronica Zumpano
Earth Syst. Sci. Data, 15, 753–767, https://doi.org/10.5194/essd-15-753-2023,https://doi.org/10.5194/essd-15-753-2023, 2023
Short summary
Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling
Massimiliano Alvioli, Ivan Marchesini, Paola Reichenbach, Mauro Rossi, Francesca Ardizzone, Federica Fiorucci, and Fausto Guzzetti
Geosci. Model Dev., 9, 3975–3991, https://doi.org/10.5194/gmd-9-3975-2016,https://doi.org/10.5194/gmd-9-3975-2016, 2016
Short summary
Communication strategies to address geohydrological risks: the POLARIS web initiative in Italy
Paola Salvati, Umberto Pernice, Cinzia Bianchi, Ivan Marchesini, Federica Fiorucci, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 16, 1487–1497, https://doi.org/10.5194/nhess-16-1487-2016,https://doi.org/10.5194/nhess-16-1487-2016, 2016
Short summary
An approach to reduce mapping errors in the production of landslide inventory maps
M. Santangelo, I. Marchesini, F. Bucci, M. Cardinali, F. Fiorucci, and F. Guzzetti
Nat. Hazards Earth Syst. Sci., 15, 2111–2126, https://doi.org/10.5194/nhess-15-2111-2015,https://doi.org/10.5194/nhess-15-2111-2015, 2015
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Unravelling the capacity–action gap in flood risk adaptation
Annika Schubert, Anne von Streit, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 25, 1621–1653, https://doi.org/10.5194/nhess-25-1621-2025,https://doi.org/10.5194/nhess-25-1621-2025, 2025
Short summary
Mapping vulnerability to climate change for spatial planning in the region of Stuttgart
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
Nat. Hazards Earth Syst. Sci., 25, 1573–1596, https://doi.org/10.5194/nhess-25-1573-2025,https://doi.org/10.5194/nhess-25-1573-2025, 2025
Short summary
Assessing the impact of early warning and evacuation on human losses during the 2021 Ahr Valley flood in Germany using agent-based modelling
André Felipe Rocha Silva, Julian Cardoso Eleutério, Heiko Apel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 1501–1520, https://doi.org/10.5194/nhess-25-1501-2025,https://doi.org/10.5194/nhess-25-1501-2025, 2025
Short summary
Modeling Regional Production Capacity Loss Rates Considering Response Bias: Insights from a Questionnaire Survey on Zhengzhou Flood
Lijiao Yang, Yan Luo, Zilong Li, and Xinyu Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-3923,https://doi.org/10.5194/egusphere-2024-3923, 2025
Short summary
Adaptive behavior of farmers under consecutive droughts results in more vulnerable farmers: a large-scale agent-based modeling analysis in the Bhima basin, India
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 25, 1013–1035, https://doi.org/10.5194/nhess-25-1013-2025,https://doi.org/10.5194/nhess-25-1013-2025, 2025
Short summary

Cited articles

Allasia, P., Manconi, A., Giordan, D., Baldo, M., and Lollino, G.: ADVICE: a new approach for near-real-time monitoring of surface displacements in landslide hazard scenarios, Sensors, 13, 8285–8302, https://doi.org/10.3390/s130708285, 2013. 
Antonini, G., Ardizzone, F., Cardinali, M., Galli, M., Guzzetti, F., and Reichenbach, P.: Surface deposits and landslide inventory map of the area affected by the 1997 Umbria-Marche earthquakes, Boll. Soc. Geol. Ital., 121, 843–853, 2002. 
Ardizzone, F., Cardinali, M., Carrara, A., Guzzetti, F., and Reichenbach, P.: Impact of mapping errors on the reliability of landslide hazard maps, Nat. Hazards Earth Syst. Sci., 2, 3–14, https://doi.org/10.5194/nhess-2-3-2002, 2002. 
Ardizzone, F., Cardinali, M., Galli, M., Guzzetti, F., and Reichenbach, P.: Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar, Nat. Hazards Earth Syst. Sci., 7, 637–650, https://doi.org/10.5194/nhess-7-637-2007, 2007. 
Ardizzone, F., Fiorucci, F., Santangelo, M., Cardinali, M., Mondini, A.C., Rossi, M., Reichenbach, P., and Guzzetti, F.: Very-high resolution stereoscopic satellite images for landslide mapping, edited by: Margottini, C., Canuti, P., and Sassa, K., Landslide Science and Practice, Landslide Inventory and Susceptibility and Hazard Zoning, 1, Springer, Heidelberg, Berlin, New York, 95–101, https://doi.org/10.1007/978-3-642-31325-7_12, 2013. 
Download
Short summary
This paper describes the criteria for the optimal selection of remote sensing images to map event landslides, discussing the ability of monoscopic and stereoscopic VHR satellite images and ultra-high-resolution UAV images to resolve the landslide photographical and morphological signatures. The findings can be useful to decide on the optimal imagery and technique to be used when planning the production of a landslide inventory map.
Share
Altmetrics
Final-revised paper
Preprint