Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling
With extraordinary resolution and accuracy, Light Detection and Ranging (LiDAR)-derived digital elevation models (DEMs) have been increasingly used for watershed analyses and modeling by hydrologists, planners and engineers. Such high-accuracy DEMs have demonstrated their effectiveness in delineati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-12-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | http://www.mdpi.com/2220-9964/2/4/1136 |
| _version_ | 1818560370129764352 |
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| author | Ruopu Li Zhenghong Tang Xu Li Jessie Winter |
| author_facet | Ruopu Li Zhenghong Tang Xu Li Jessie Winter |
| author_sort | Ruopu Li |
| collection | DOAJ |
| description | With extraordinary resolution and accuracy, Light Detection and Ranging (LiDAR)-derived digital elevation models (DEMs) have been increasingly used for watershed analyses and modeling by hydrologists, planners and engineers. Such high-accuracy DEMs have demonstrated their effectiveness in delineating watershed and drainage patterns at fine scales in low-relief terrains. However, these high-resolution datasets are usually only available as topographic DEMs rather than hydrologic DEMs, presenting greater land roughness that can affect natural flow accumulation. Specifically, locations of drainage structures such as road culverts and bridges were simulated as barriers to the passage of drainage. This paper proposed a geospatial method for producing LiDAR-derived hydrologic DEMs, which incorporates data collection of drainage structures (i.e., culverts and bridges), data preprocessing and burning of the drainage structures into DEMs. A case study of GIS-based watershed modeling in South Central Nebraska showed improved simulated surface water derivatives after the drainage structures were burned into the LiDAR-derived topographic DEMs. The paper culminates in a proposal and discussion of establishing a national or statewide drainage structure dataset. |
| first_indexed | 2024-12-14T00:37:38Z |
| format | Article |
| id | doaj.art-a8be05039e6e4955b5b1e6b643bb87bc |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-14T00:37:38Z |
| publishDate | 2013-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-a8be05039e6e4955b5b1e6b643bb87bc2022-12-21T23:24:33ZengMDPI AGISPRS International Journal of Geo-Information2220-99642013-12-01241136115210.3390/ijgi2041136ijgi2041136Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow ModelingRuopu Li0Zhenghong Tang1Xu Li2Jessie Winter3Center for Advanced Land Management Information Technologies (CALMIT), School of Natural Resources, University of Nebraska-Lincoln, 324 Hardin Hall, Lincoln, NE 68583, USACommunity and Regional Planning Program, University of Nebraska-Lincoln, 302 Architecture Hall, Lincoln, NE 68588, USADepartment of Civil Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USASchool of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68588, USAWith extraordinary resolution and accuracy, Light Detection and Ranging (LiDAR)-derived digital elevation models (DEMs) have been increasingly used for watershed analyses and modeling by hydrologists, planners and engineers. Such high-accuracy DEMs have demonstrated their effectiveness in delineating watershed and drainage patterns at fine scales in low-relief terrains. However, these high-resolution datasets are usually only available as topographic DEMs rather than hydrologic DEMs, presenting greater land roughness that can affect natural flow accumulation. Specifically, locations of drainage structures such as road culverts and bridges were simulated as barriers to the passage of drainage. This paper proposed a geospatial method for producing LiDAR-derived hydrologic DEMs, which incorporates data collection of drainage structures (i.e., culverts and bridges), data preprocessing and burning of the drainage structures into DEMs. A case study of GIS-based watershed modeling in South Central Nebraska showed improved simulated surface water derivatives after the drainage structures were burned into the LiDAR-derived topographic DEMs. The paper culminates in a proposal and discussion of establishing a national or statewide drainage structure dataset.http://www.mdpi.com/2220-9964/2/4/1136LiDARDEMdrainage structureculvertwatershedmetadata |
| spellingShingle | Ruopu Li Zhenghong Tang Xu Li Jessie Winter Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling ISPRS International Journal of Geo-Information LiDAR DEM drainage structure culvert watershed metadata |
| title | Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling |
| title_full | Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling |
| title_fullStr | Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling |
| title_full_unstemmed | Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling |
| title_short | Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling |
| title_sort | drainage structure datasets and effects on lidar derived surface flow modeling |
| topic | LiDAR DEM drainage structure culvert watershed metadata |
| url | http://www.mdpi.com/2220-9964/2/4/1136 |
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