Mapping the Panagopoula landslide extent fifty years after the event

Nikolakopoulos, Konstantinos G.; Apostolopoulos, Dionysios N.

doi:10.1117/12.2570813

Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020) 2020

DOI: 10.1117/12.2570813

|View full text |Cite

Mapping the Panagopoula landslide extent fifty years after the event

Konstantinos G. Nikolakopoulos

Dionysios N. Apostolopoulos

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Landslide monitoring: recent technologies and new perspectives

Koukouvelas,

Nikolakopoulos,

Kyriou

2024

Earth Resources and Environmental Remote Sensing/Gis Applications XV

View full text Add to dashboard Cite

On 30th December 2021, at midnight, a landslide affected a short catchment that drains a steep slope in North Peloponnese. The Rodini landslide includes dry siliceous and siliciclastic rocks, and limestones, broken into angular rock deposits. Formations that participated in the landslide belong to the strongly deformed Pindos unit. Rodini landslide is significant because it is located at a short distance (<80 m) from the national motorway to Athens. For the landslide history description, we use a remote sensing approach and fieldwork. In particular, the remote sensing approach, over the past few years, based on the development of new platforms such as Unmanned Aerial Vehicles, and innovative processing techniques such as computer vision opened up new horizons and perspectives in landslide history and evolution. These innovative methodologies are applicable for landslide monitoring and are effective in terms of cost and time since based on robust and automated approaches. Nine orthophoto maps and two UAV flights were used to classify this landslide as spontaneous since it happened due to the intense lithological, hydrological, and mechanical differences between the siliceous and calcareous rocks of the Pindos unit. This landslide occurred during a dry period with no significant earthquake or human construction activity. Thus based on the history of the landslide it is classified as a spontaneous landslide characterized by about 50 years of high mass wasting, 25 years of stability and forestation before its reactivation on December 2021.

show abstract

Landslide monitoring: recent technologies and new perspectives

Koukouvelas,

Nikolakopoulos,

Kyriou

2024

Earth Resources and Environmental Remote Sensing/Gis Applications XV

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Mapping the Panagopoula landslide extent fifty years after the event

Cited by 1 publication

References 40 publications

Landslide monitoring: recent technologies and new perspectives

Landslide monitoring: recent technologies and new perspectives

Contact Info

Product

Resources

About