Estimation of Construction Year of Medium to Long Road Bridges in Zambia using Satellite Imagery
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Bibliografische Angaben
| Autor(en): |
Bennie Hamunzala
(Hokkaido University, Sapporo, Japan)
Koji Matsumoto (Hokkaido University, Sapporo, Japan) |
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| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Symposium: Construction’s Role for a World in Emergency, Manchester, United Kingdom, 10-14 April 2024 | ||||
| Veröffentlicht in: | IABSE Symposium Manchester 2024 | ||||
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| Seite(n): | 319-327 | ||||
| Anzahl der Seiten (im PDF): | 9 | ||||
| DOI: | 10.2749/manchester.2024.0319 | ||||
| Abstrakt: |
Using the age of the road bridges as one of the inputs, deterministic and probabilistic deterioration models are used to determine the deterioration rates and predict the future physical condition of these structures. This study attempts to estimate the year of construction of 27 road bridges in Zambia. The Technique assumes that the normalized difference water index 2 (NDWI_2) at the target bridge point (TBP) shows detectable differences before and after the construction of a road bridge. Landsat 5 Thematic Mapper in conjunction with Landsat 7 Enhanced Thematic Mapper Plus was used in the Google Earth Engine. Sequential t-test analysis of the regime shift method was applied with a cutoff length 𝑙𝑙𝑙𝑙 = 2 to 𝑙𝑙𝑙𝑙 = 12, and significance level 𝛼𝛼𝛼𝛼 = 0,05, to interpret the estimated year of construction from NDWI_2. The results confirm that it is possible to accurately estimate the year of construction of road bridges in Zambia using this method. |
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| Stichwörter: |
Strassenbrücken Brückenmanagement
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