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• W2765718183 abstract "With the introduction of high resolution digital elevation models it is possible to use digital terrain analysis to extract small streams. In order to map streams correctly it is necessary to remove errors and artificial sinks in the digital elevation models. This step is known as pre-processing and will allow water to move across a digital landscape. However, new challenges are introduced with increasing resolution since the effect of anthropogenic artifacts such as road embankments and bridges increases with increased resolution. These are problematic during the pre-processing step since they are elevated above the surrounding landscape and act as artificial dams. The aims of this study was to evaluate the effect of different pre-processing methods such as breaching and filling on digital elevation models with different resolutions (2 m, 4 m 8 m and 16 m) and to evaluate which pre-processing methods that most accurately route water across road impoundments at actual culvert locations. A unique dataset with over 30000 field mapped road culverts was used to assess the accuracy of stream networks derived from digital elevation models using different pre-processing methods. Our results showed that the accuracy of stream networks increases with increasing resolution. Breaching created the most accurate stream networks on all resolutions while filling was the least accurate. Burning streams from the topographic map across roads from the topographic map increased the accuracy for all methods and resolutions. In addition, the impact in terms of change in area and absolute volume between original and pre-processed digital elevation models, was smaller for breaching than for filling. With the appropriate methods it is possible to extract accurate stream networks from high resolution digital elevation models with extensive road networks thus provide forest managers with stream networks that can be used when planning operations in wet areas or areas near streams to prevent rutting, sediment transport, and mercury export." @default.
• W2765718183 created "2017-11-10" @default.
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• W2765718183 date "2017-12-05" @default.
• W2765718183 modified "2023-10-13" @default.
• W2765718183 title "Evaluating preprocessing methods of digital elevation models for hydrological modelling" @default.
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• W2765718183 doi "https://doi.org/10.1002/hyp.11385" @default.
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