Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling

Abstract

Abstract: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 OPEN ACCESS ISPRS Int. J. Geo-Inf. 2013, 2 1137 the LiDAR-derived topographic DEMs. The paper culminates in a proposal and discussion of establishing a national or statewide drainage structure dataset.

Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high‐resolution digital elevation models

“…Research on developing an inventory of culvert datasets will allow the improved delineation of hydrologic connectivity over landscapes, as echoed in other literature (Barber & Shortridge, 2005;Li, Tang, Li, & Winter, 2013;Sofia et al, 2014). Li et al (2013) found improved connectivity through ADS locations when AGREE-based stream F I G U R E 5 Probability density functions for different DEM resolutions under a combination of depression processing methods and flow direction-accumulation algorithms. The legend in each plot follows the magnitude of the PDF peaks with the size of ADS samples within the 100 m OD threshold in parentheses.…”

Examining Playa Wetland Inundation Conditions for National Wetland Inventory, Soil Survey Geographic Database, and LiDAR Data

“…Incorporation of advanced LiDAR technology in wetland mapping is an efficient approach to predict the most likely inundation areas. However, we have to recognize the limitations of LiDAR data in hydrologic modeling and wetland mapping (Li et al 2013;Tang et al 2014). LiDAR data may not be accurate in wetland areas due to water body reflection and the dense vegetation coverage in wetland areas.…”

Perceived Usefulness of Airborne LiDAR Technology in Road Design and Management: A Review

“…In addition, R. Li et al [87] showed that drainage patterns could be determined using LiDAR-derived hydrologic DEMs by using a geospatial method. In comparison, J. Roelans et al [88] developed LiDAR Dropout Modelling by separating LiDAR data into ditch points and non-ditch points, then putting ditch points together to form a 2D polygon object to determine ditch drainage.…”