Name
Title | ||
|---|---|---|
Automatic Determination Of Stream Networks From Dems By Using Road Network Data To Locate Culverts |
Abstract | ||
|---|---|---|
Determining stream networks automatically from digital elevation models is an issue that is actively being studied. The quality of elevation models has increased over time, but many hydrologically critical features, such as culverts, are often missing from the elevation data. To analyze the surficial water flow, one must either prepare a special elevation model or post-process an already-existing model. This study builds on the traditional, well-established method of determining the stream network from digital elevation models. We have extended the traditional method by locating culverts automatically, using road network data as an input. We show, by comparison to the reference data, that the culverts being most relevant for the stream network can be found with good accuracy. We demonstrate that by including the automatically located culverts in the automatic stream network determination, the quality of the generated network can be noticeably improved. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1080/13658816.2018.1530353 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE |
Keywords | Field | DocType |
Hydrologic analysis, digital elevation or terrain models, algorithm development | Reference data (financial markets),Data mining,Water flow,Computer science,Digital elevation model,Network data,Elevation,Culvert | Journal |
Volume | Issue | ISSN |
33 | 2 | 1365-8816 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ville T. Mäkinen | 1 | 2 | 0.91 |
| Juha Oksanen | 2 | 55 | 8.95 |
| Tapani Sarjakoski | 3 | 118 | 17.51 |