Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap data
Drainage networks allow the extraction of topographic parameters that are useful for basins characterization and necessary for hydrologic modelling. One way to obtain drainage networks is by their extraction from Digital Elevation Models (DEMs). However, it is common that no freely available DEMs at...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-09-01
|
| Series: | Journal of Hydrology and Hydromechanics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/johh-2017-0057 |
| _version_ | 1811329231347515392 |
|---|---|
| author | Monteiro Elisabete S.V. Fonte Cidália C. de Lima João L.M.P. |
| author_facet | Monteiro Elisabete S.V. Fonte Cidália C. de Lima João L.M.P. |
| author_sort | Monteiro Elisabete S.V. |
| collection | DOAJ |
| description | Drainage networks allow the extraction of topographic parameters that are useful for basins characterization and necessary for hydrologic modelling. One way to obtain drainage networks is by their extraction from Digital Elevation Models (DEMs). However, it is common that no freely available DEMs at regional or national level exist. One way to overcome this situation is to use the available free Global Digital Elevation Models (GDEMs). However, these datasets have relatively low spatial resolutions, 30 and 90 meters for ASTER and SRTM, respectively, and it has been shown that their accuracy is relatively low in several regions (e.g., Kääb, 2005; Mukul et al., 2017). In this study a methodology is presented to improve the positional accuracy of the drainage networks extracted from the GDEMs using crowdsourced data available in the collaborative project OpenStreetMap (OSM). In this approach only free and global datasets are used, enabling its application to any location of the world. The methodology uses elevation points derived from the GDEMs and the water lines extracted from the collaborative project OSM to generate new DEMs, from which new water lines are obtained. The methodology is applied to two study areas and the positional accuracy of the used data and the obtained results are assessed using reference data. |
| first_indexed | 2024-04-13T15:40:09Z |
| format | Article |
| id | doaj.art-bf901ab4460d4926a5556c9ee67f04c9 |
| institution | Directory Open Access Journal |
| issn | 0042-790X |
| language | English |
| last_indexed | 2024-04-13T15:40:09Z |
| publishDate | 2018-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Hydrology and Hydromechanics |
| spelling | doaj.art-bf901ab4460d4926a5556c9ee67f04c92022-12-22T02:41:11ZengSciendoJournal of Hydrology and Hydromechanics0042-790X2018-09-0166328529410.1515/johh-2017-0057johh-2017-0057Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap dataMonteiro Elisabete S.V.0Fonte Cidália C.1de Lima João L.M.P.2UDI-Research Unit for Inland Development - Polytechnic Institute of Guarda / Institute for Systems Engineering and Computers at Coimbra, Av. Dr. Francisco Sá Carneiro,Guarda, PortugalDepartment of Mathematics University of Coimbra / Institute for Systems Engineering and Computers at Coimbra, Apartado, Santa Cruz,Coimbra, PortugalDepartment of Civil Engineering of University of Coimbra / MARE - Marine Environmental Sciences Centre, Faculty of Sciences and Technology, University of Coimbra, Pólo II University of Coimbra,Coimbra, PortugalDrainage networks allow the extraction of topographic parameters that are useful for basins characterization and necessary for hydrologic modelling. One way to obtain drainage networks is by their extraction from Digital Elevation Models (DEMs). However, it is common that no freely available DEMs at regional or national level exist. One way to overcome this situation is to use the available free Global Digital Elevation Models (GDEMs). However, these datasets have relatively low spatial resolutions, 30 and 90 meters for ASTER and SRTM, respectively, and it has been shown that their accuracy is relatively low in several regions (e.g., Kääb, 2005; Mukul et al., 2017). In this study a methodology is presented to improve the positional accuracy of the drainage networks extracted from the GDEMs using crowdsourced data available in the collaborative project OpenStreetMap (OSM). In this approach only free and global datasets are used, enabling its application to any location of the world. The methodology uses elevation points derived from the GDEMs and the water lines extracted from the collaborative project OSM to generate new DEMs, from which new water lines are obtained. The methodology is applied to two study areas and the positional accuracy of the used data and the obtained results are assessed using reference data.https://doi.org/10.1515/johh-2017-0057drainage networksgdemsopenstreetmappositional accuracy |
| spellingShingle | Monteiro Elisabete S.V. Fonte Cidália C. de Lima João L.M.P. Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap data Journal of Hydrology and Hydromechanics drainage networks gdems openstreetmap positional accuracy |
| title | Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap data |
| title_full | Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap data |
| title_fullStr | Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap data |
| title_full_unstemmed | Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap data |
| title_short | Improving the positional accuracy of drainage networks extracted from Global Digital Elevation Models using OpenstreetMap data |
| title_sort | improving the positional accuracy of drainage networks extracted from global digital elevation models using openstreetmap data |
| topic | drainage networks gdems openstreetmap positional accuracy |
| url | https://doi.org/10.1515/johh-2017-0057 |
| work_keys_str_mv | AT monteiroelisabetesv improvingthepositionalaccuracyofdrainagenetworksextractedfromglobaldigitalelevationmodelsusingopenstreetmapdata AT fontecidaliac improvingthepositionalaccuracyofdrainagenetworksextractedfromglobaldigitalelevationmodelsusingopenstreetmapdata AT delimajoaolmp improvingthepositionalaccuracyofdrainagenetworksextractedfromglobaldigitalelevationmodelsusingopenstreetmapdata |