An automatic and objective approach to hydro-flatten high resolution topographic data

Zheng, Xiong; Godbout, Lukas; Zheng, Jeff; McCormick, Collin; Passalacqua, Paola

doi:10.1016/j.envsoft.2019.02.007

Cited by 9 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The NFIE was a broad, inter-institutional, and pioneering effort to apply HAND to the initial versions of the NWM, which leveraged 1/3 arcsec (10 m) seamless elevation data available at the time (Maidment, 2017;Liu et al, 2016; from the USGS's National Elevation Dataset (NED) (Gesch et al, 2002;Gesch and Maune, 2007). Zheng et al (2018a) applied HAND to operational applications with 1/27 arcsec (1 m) elevation data with a novel leastcost, geodesic-based stream delineation method (Passalacqua et al, 2010(Passalacqua et al, , 2012Zheng et al, 2018aZheng et al, , 2019Carruthers, 2021;D'Angelo et al, 2022;Zheng et al, 2022). For applications with the NWM, an advanced version of HAND coupled with the use of SRCs, known as OWP FIM, converts NWM analysis, reanalysis, and forecast streamflows to river stages and operationally based fluvial inundation depths and extents to CONUS while extending the modeling domain to Puerto Rico and Hawaii (Aristizabal et al, 2023c, b).…”

Section: Introductionmentioning

confidence: 99%

Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage

Aristizabal,

Chegini,

Petrochenkov

et al. 2024

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Given the availability of high-quality and high-spatial-resolution digital elevation maps (DEMs) from the United States Geological Survey's 3D Elevation Program (3DEP), derived mostly from light detection and ranging (lidar) sensors, we examined the effects of these DEMs at various spatial resolutions on the quality of flood inundation map (FIM) extents derived from a terrain index known as Height Above Nearest Drainage (HAND). We found that using these DEMs improved the quality of resulting FIM extents at around 80 % of the catchments analyzed when compared to using DEMs from the National Hydrography Dataset Plus High Resolution (NHDPlusHR) program. Additionally, we varied the spatial resolution of the 3DEP DEMs at 3, 5, 10, 15, and 20 m (meters), and the results showed no significant overall effect on FIM extent quality across resolutions. However, further analysis at coarser resolutions of 60 and 90 m revealed a significant degradation in FIM skill, highlighting the limitations of using extremely coarse-resolution DEMs. Our experiments demonstrated a significant burden in terms of the computational time required to produce HAND and related data at finer resolutions. We fit a multiple linear regression model to help explain catchment-scale variations in the four metrics employed and found that the lack of reservoir flooding or inundation upstream of river retention systems was a significant factor in our analysis. For validation, we used Interagency Flood Risk Management (InFRM) Base Level Engineering (BLE)-produced FIM extents and streamflows at the 100- and 500-year event magnitudes in a sub-region in eastern Texas.

show abstract

Section: Introductionmentioning

confidence: 99%

Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage

Aristizabal,

Chegini,

Petrochenkov

et al. 2024

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…These methods can only measure the channel width as the free water surface extent at the time of image acquisition, which may not be geomorphologically relevant, and the measurement remains unfeasible in areas with dense vegetation cover. HRDEM‐based methodologies can estimate channel width by detecting the extent of channel banks based on topographic slope (Johansen et al., 2011; Passalacqua et al., 2012; Zheng et al., 2019) or curvature (Sofia et al., 2015), but they generally need some parameter tuning and can only measure the bankfull width independently of any reference flow. While these HRDEM‐based methods showed good agreement with measurements for single thread and meandering channels with well‐defined banks, their efficiency when applied on more complex channel geometries such as braided rivers or rivers with multiple channels is uncertain.…”

Section: Introductionmentioning

confidence: 99%

Hydro‐Geomorphic Metrics for High Resolution Fluvial Landscape Analysis

2022

View full text Add to dashboard Cite

Topographic metrics are designed to quantify scale‐relevant relationships between geometric properties of landscapes to reveal the processes shaping them. They have long been derived from topographic flow routing algorithms, initially developed for coarse Digital Elevation Models (DEMs), whose resolution (≥30 m) and poor precision did not resolve correctly flow patterns and channel flow width. Since high resolution and precision DEMs make the description of meter‐scale flow patterns possible, new methods are required to analyze high resolution landforms structures such as hillslope‐channel connections, channel width or floodplains. Here, we investigate the potential of 2D hydraulic simulations based on the shallow water equations to replace the classical slope versus drainage area analysis, to analyze river morphology and to identify floodplains. We apply the Floodos model to the 1 m resolution DEM of the Elder Creek catchment, California, from which we derive three hydro‐geomorphic metrics accounting for the river geometry: a specific drainage area extended to channels, an effective flow width and the hydraulic slope. We analyze the Elder Creek catchment through what we call the hydraulic slope‐area diagram allowing a better identification of hillslope‐channel connections than the slope‐area approach. The effective flow width is analyzed along the drainage network and is characterized by a power‐law relationship consistent with previous observations. We derive metrics based on a multi‐runoff approach to automatically identify floodplains and evaluate along‐stream variations in hydraulic geometry. The hydro‐geomorphic metrics offer a geomorphic analysis suitable for high resolution DEMs and opens up new perspectives in fluvial landscape analysis.

show abstract

“…With the increasing resolution and precision of DEMs [20], drainage networks and channel features extracted from them are becoming more and more popular in representing river systems [13,21]. However, effective and efficient drainage network extraction is still a challenging problem.…”

Section: Introductionmentioning

confidence: 99%

Effects of DEM Depression Filling on River Drainage Patterns and Surface Runoff Generated by 2D Rain-on-Grid Scenarios

Costabile

Costanzo

Gandolfi

et al. 2022

Water

View full text Add to dashboard Cite

Topographic depressions in Digital Elevation Models (DEMs) have been traditionally seen as a feature to be removed as no outward flow direction is available to route and accumulate flows. Therefore, to simplify hydrologic analysis for practical purposes, the common approach treated all depressions in DEMs as artefacts and completely removed them in DEMs’ data preprocessing prior to modelling. However, the effects of depression filling on both the geomorphic structure of the river network and surface runoff is still not clear. The use of two-dimensional (2D) hydrodynamic modeling to track inundation patterns has the potential to provide novel point of views on this issue. Specifically, there is no need to remove topographic depression from DEM, as performed in the use of traditional methods for the automatic extraction of river networks, so that their effects can be directly taken into account in simulated drainage patterns and in the associated hydrologic response. The novelty introduced in this work is the evaluation of the effects of DEM depression filling on both the structure of the net-points characterizing the simulated networks and the hydrologic response of the watersheds to simplified rainfall scenarios. The results highlight how important these effects might be in practical applications, providing new insights in the field of watershed-scale modeling.

show abstract

An automatic and objective approach to hydro-flatten high resolution topographic data

Cited by 9 publications

References 35 publications

Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage

Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage

Hydro‐Geomorphic Metrics for High Resolution Fluvial Landscape Analysis

Effects of DEM Depression Filling on River Drainage Patterns and Surface Runoff Generated by 2D Rain-on-Grid Scenarios

Contact Info

Product

Resources

About