High-Resolution Elevation Data for Vulnerability Assessment of Roads in a Changing Climate
Climate adaptation of road infrastructure becomes increasingly important as extreme weather events increase in frequency and intensity. Climate adaptation studies often require a vulnerability assessment of the road network, to identify where adaptation measures are most needed or have the most impact. This, in turn, requires high-resolution elevation data, which is not always readily available or costly to obtain. The authors describe a new methodology, dubbed ParTerra Roads, which fuses data from freely available datasets with global coverage to create a high-resolution elevation dataset for any area in the world. It facilitates a participatory approach to improve stakeholder involvement but can also function as a stand-alone tool. The authors demonstrate its use and validate it using a high-quality LiDAR-based dataset, showing its potential and limitations. Both aspects are strongly linked to the input data. Further research and development are key to improve its usability
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Supplemental Notes:
- Abstract reprinted with permission of the World Road Association – PIARC.
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Corporate Authors:
World Road Association (PIARC)
La Grande Arche, Paroi Nord, Niveau 5
F-92055 La Defense Cedex, France -
Authors:
- Haag, A
- Elkadi, A
- Winsemius, H
- Eilander, D
- Donchyts, G
- Visser, M
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Conference:
- 26th World Road Congress
- Location: Abu Dhabi , United Arab Emirates
- Date: 2019-10-6 to 2019-10-10
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 16p
- Monograph Title: Proceedings of the 26th World Road Congress - Abu Dhabi - 2019: Connecting Cultures - Enabling Economies
Subject/Index Terms
- TRT Terms: Climate change; Data collection; Data files; Infrastructure; Laser radar; Methodology; Risk assessment; Stakeholders; Weather conditions
- Subject Areas: Data and Information Technology; Environment; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 01763300
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 3 2021 3:00PM