Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas

Nicoletta Nappo; Olga Mavrouli; Maria Amparo Núñez-Andrés

doi:10.1016/B978-0-12-823868-4.00017-9

Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas

Nicoletta Nappo, Olga Mavrouli, Maria Amparo Núñez-Andrés

Geo-engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

Abstract

In landslide-affected areas, road pavement damage might be significant. The management of road infrastructure requires objective methods for characterizing the condition of the road pavement. Unmanned Aerial Vehicle (UAV) platforms with integrated digital cameras can provide high-resolution images for constructing 3D models of the road. These can be processed to detect and assess the severity of cracks. This chapter aims to present the use of UAV imagery for obtaining quantitative pavement damage information, providing a panorama of the techniques that are currently used. Moreover, it describes a procedure for the processing of the images that provide (i) a damage hotspot map indicating the unevenness of road pavement, (ii) a 3D point cloud with damage/nondamage points and their roughness, and (iii) damage locations classified according to their severity. Last, this Chapter discusses best practices for using a digital camera integrated into a UAV platform for damage assessment and characterization.

Original language	English
Title of host publication	Earth Observation Applications to Landslide Mapping, Monitoring and Modeling
Subtitle of host publication	Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery
Editors	Ionut sandric, Viorel Ilinca, Zenaida Chitu
Publisher	Elsevier
Chapter	16
Pages	353-377
Number of pages	25
ISBN (Electronic)	9780128238684
ISBN (Print)	9780128241981
DOIs	https://doi.org/10.1016/B978-0-12-823868-4.00017-9
Publication status	Published - 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

damage detection and measurement
Geomatics
geotechnical engineering
landslide
road pavement damage
vulnerability assessment

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10.1016/B978-0-12-823868-4.00017-9

Cite this

Nappo, N., Mavrouli, O., & Núñez-Andrés, M. A. (2024). Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas. In I. sandric, V. Ilinca, & Z. Chitu (Eds.), Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery (pp. 353-377). Elsevier. https://doi.org/10.1016/B978-0-12-823868-4.00017-9

Nappo, Nicoletta ; Mavrouli, Olga ; Núñez-Andrés, Maria Amparo. / Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas. Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery. editor / Ionut sandric ; Viorel Ilinca ; Zenaida Chitu. Elsevier, 2024. pp. 353-377

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abstract = "In landslide-affected areas, road pavement damage might be significant. The management of road infrastructure requires objective methods for characterizing the condition of the road pavement. Unmanned Aerial Vehicle (UAV) platforms with integrated digital cameras can provide high-resolution images for constructing 3D models of the road. These can be processed to detect and assess the severity of cracks. This chapter aims to present the use of UAV imagery for obtaining quantitative pavement damage information, providing a panorama of the techniques that are currently used. Moreover, it describes a procedure for the processing of the images that provide (i) a damage hotspot map indicating the unevenness of road pavement, (ii) a 3D point cloud with damage/nondamage points and their roughness, and (iii) damage locations classified according to their severity. Last, this Chapter discusses best practices for using a digital camera integrated into a UAV platform for damage assessment and characterization.",

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Nappo, N, Mavrouli, O & Núñez-Andrés, MA 2024, Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas. in I sandric, V Ilinca & Z Chitu (eds), Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery. Elsevier, pp. 353-377. https://doi.org/10.1016/B978-0-12-823868-4.00017-9

Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas. / Nappo, Nicoletta; Mavrouli, Olga; Núñez-Andrés, Maria Amparo.
Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery. ed. / Ionut sandric; Viorel Ilinca; Zenaida Chitu. Elsevier, 2024. p. 353-377.

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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AU - Mavrouli, Olga

AU - Núñez-Andrés, Maria Amparo

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

Y1 - 2024

N2 - In landslide-affected areas, road pavement damage might be significant. The management of road infrastructure requires objective methods for characterizing the condition of the road pavement. Unmanned Aerial Vehicle (UAV) platforms with integrated digital cameras can provide high-resolution images for constructing 3D models of the road. These can be processed to detect and assess the severity of cracks. This chapter aims to present the use of UAV imagery for obtaining quantitative pavement damage information, providing a panorama of the techniques that are currently used. Moreover, it describes a procedure for the processing of the images that provide (i) a damage hotspot map indicating the unevenness of road pavement, (ii) a 3D point cloud with damage/nondamage points and their roughness, and (iii) damage locations classified according to their severity. Last, this Chapter discusses best practices for using a digital camera integrated into a UAV platform for damage assessment and characterization.

AB - In landslide-affected areas, road pavement damage might be significant. The management of road infrastructure requires objective methods for characterizing the condition of the road pavement. Unmanned Aerial Vehicle (UAV) platforms with integrated digital cameras can provide high-resolution images for constructing 3D models of the road. These can be processed to detect and assess the severity of cracks. This chapter aims to present the use of UAV imagery for obtaining quantitative pavement damage information, providing a panorama of the techniques that are currently used. Moreover, it describes a procedure for the processing of the images that provide (i) a damage hotspot map indicating the unevenness of road pavement, (ii) a 3D point cloud with damage/nondamage points and their roughness, and (iii) damage locations classified according to their severity. Last, this Chapter discusses best practices for using a digital camera integrated into a UAV platform for damage assessment and characterization.

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KW - Geomatics

KW - geotechnical engineering

KW - landslide

KW - road pavement damage

KW - vulnerability assessment

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SN - 9780128241981

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BT - Earth Observation Applications to Landslide Mapping, Monitoring and Modeling

A2 - sandric, Ionut

A2 - Ilinca, Viorel

A2 - Chitu, Zenaida

PB - Elsevier

ER -

Nappo N, Mavrouli O, Núñez-Andrés MA. Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas. In sandric I, Ilinca V, Chitu Z, editors, Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery. Elsevier. 2024. p. 353-377 doi: 10.1016/B978-0-12-823868-4.00017-9

Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas

Abstract

Bibliographical note

Keywords

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