Removal of artifact depressions from digital elevation models: towards a minimum impact approach

Lindsay, John B.; Creed, Irena F.

doi:10.1002/hyp.5835

Cited by 150 publications

(129 citation statements)

References 16 publications

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“…Each sub-basin does not have any other upstream basin so that the hydrologic response of each individual sub-basin can be assessed without any effects from adjacent sub-basins. Inaccurate watershed delineation could be generated due to errors in the DEM data such as flat or sink areas [50], that can be found in the low relief or flat areas [51,52].…”

Section: Methodsmentioning

confidence: 99%

A Hydrological and Geomorphometric Approach to Understanding the Generation of Wadi Flash Floods

Abdel-Fattah

Saber

Kantoush

et al. 2017

Water

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Abstract:The generation and processes of wadi flash floods are very complex and are not well understood. In this paper, we investigate the relationship between variations in geomorphometric and rainfall characteristics and the responses of wadi flash floods. An integrated approach was developed based on geomorphometric analysis and hydrological modeling. The Wadi Qena, which is located in the Eastern Desert of Egypt, was selected to validate the developed approach and was divided into 14 sub-basins with areas ranging from 315 to 1488 km 2 . The distributed Hydrological River Basin Environment Assessment Model (Hydro-BEAM) was used to obtain a good representation of the spatial variability of the rainfall and geomorphology in the basin. Thirty-eight geomorphometric parameters representing the topographic, scale, shape and drainage characteristics of the basins were considered and extracted using geographic information system (GIS) techniques. A series of flash flood events from 1994, 2010, 2013, and 2014, in addition to synthetic virtual storms with different durations and intensities, were selected for the application of this study. The results exhibit strong correlations between scale and topographic parameters and the hydrological indices of the wadi flash floods, while the shape and drainage network metrics have smaller impacts. The total rainfall amount and duration significantly impact the relationship between the hydrologic response of the wadi and its geomorphometry. For most of the parameters, we found that the impact of the wadi geomorphometry on the hydrologic response increases with increasing rainfall intensity.

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Section: Methodsmentioning

confidence: 99%

A Hydrological and Geomorphometric Approach to Understanding the Generation of Wadi Flash Floods

Abdel-Fattah

Saber

Kantoush

et al. 2017

Water

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“…However, a major limitation is that only a DEM with dimensions smaller than 4000 ϫ 4000 cells can be processed. TAS (http:// www.sed.manchester.ac.uk/geography/research/tas) evolved from work by John Lindsay of the University of Manchester in response to the lack of affordable software for terrain analysis and hydrological characterization (Lindsay 2005). This software provides advanced hydrological modeling capabilities without dependence on proprietary GIS software.…”

Section: Softwarementioning

confidence: 99%

“…Before the standard suite of hydrological layers can be constructed, any sinks (local depressions) in a DEM must be filled or breached to route flow properly downslope and resolve any flow disruptions that are confined within sinks (Martz and Garbrecht 1999, Lindsay and Creed 2005, Temme et al 2006. This is achieved by filling the interior of each depression to the same elevation of its lowest outlet (Planchon and Darboux 2001), using virtually identical algorithms available in both TauDEM and TAS.…”

Section: Processingmentioning

confidence: 99%

“…Data layers include characterizations of flow direction, accumulation, the Topographic Wetness Index, stream occurrence, and drainage basin delineation. Our analysis is conducted primarily using freeware tools (Tarboton 1997, Lindsay 2005 for creating the basic hydrological layers. We provide some "best practices" for processing digital elevation data with large extents for hydrological characterization and compare the results produced between coarse and fine spatial resolution DEMs and existing vector stream data for the province of Ontario.…”

Section: Introductionmentioning

confidence: 99%

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A comparison of existing surficial hydrological data layers in a low-relief forested Ontario landscape with those derived from a LiDAR DEM

Remmel¹,

Todd²,

Buttle³

2008

The Forestry Chronicle

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The current provincial-extent digital elevation model (DEM) and corresponding hydrological maps for Ontario have been produced using traditional photogrammetry and aerial photograph interpretation. This process is labour-intensive and requires visual interpretation of stereo image pairs. The ground surface and small hydrological features may be inaccurately delineated in areas where vegetation is dense or the ground is otherwise shielded from aerial view. In an effort to improve and automate delineation of hydrological features, we examined the behaviour and final products of the D8 flowrouting algorithm in 2 software environments (TAS and TauDEM for ArcGIS) operating on a high spatial resolution DEM derived using canopy-penetrating light detection and ranging (LiDAR) technology in a pilot study in the Romeo Malette Forest (41.25°N, 81.50°W). Filtered LiDAR data points (5-m spacing) were interpolated using IDW, TIN, and splines, each resulting in a 2.5-m spatial resolution DEM. Results demonstrate improved realism in the characterization of surficial hydrology by LIDAR derived products as compared to applying identical algorithms on existing coarser provincial data. Benefits include the ability to represent streams of lower Strahler order to define crisp watershed boundaries, and the more accurate identification of local depressions that form potentially wet sites. This approach identifies wet sites that should be avoided during forest operations (e.g., skidder traffic) and can provide additional information for trail layout, road planning, and water crossings. By increasing the number of uses of LiDAR, the capital investment in these data becomes increasingly palatable for forest companies interested in obtaining detailed plans of their forest holdings. 25°N, 81,50°W). Les points de lidar filtrés (espacement de 5 m) ont été interpolés en utilisant les techniques i) de pondération par la distance inversée, ii) de réseau triangulé irrégulier et iii) de fonctions splines, ayant pour résultat une MAN de résolution spatiale de 2,5 m. Nos résultats démontrent le réalisme amélioré dans la caractérisation de l'hydrologie superficielle par les produits dérivés du lidar par rapport à l'application des mêmes algorithmes sur les données provinciales existantes grossières. Les avantages incluent la capacité de représenter les cours d' eau d' ordre de Strahler inférieur, la définition nette des frontières des bassins hydrologiques et l'identification plus précise des dépressions locales qui forment les zones humides potentielles. Cette approche identifie les zones humides qui devraient être évités pendant les opérations forestières (p. ex., le débusquage) et peuvent fournir des informations supplémentaires pour la disposition des pistes, la planification des routes, et le franchissement des cours d' eau. En élargissant le nombre d'utilisations du lidar, l'investissement en capital dans cette technologie devient de plus en plus attrayant pour les organisations forestières intéressées à obtenir des plans détaillés de ...

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“…These flow paths form continuous paths from the deepest part of a depression to the actual pour point of the area studied ( Figure 2). A combination method called the Impact Reduction Approach (IRA) was developed by Lindsay and Creed [48]. This method selects either the filling or the breaching method based on the impact factor (IF) that indicates the amount of change in a DTM necessary for hydrologic correction of the area processed.…”

Section: Introductionmentioning

confidence: 99%

Nationwide Digital Terrain Models for Topographic Depression Modelling in Detection of Flood Detention Areas

Vesakoski

Alho

Hyyppä

et al. 2014

Water

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Topographic depressions have an important role in hydrological processes as they affect the water balance and runoff response of a watershed. Nevertheless, research has focused in detail neither on the effects of acquisition and processing methods nor on the effects of resolution of nationwide grid digital terrain models (DTMs) on topographic depressions or the hydrological impacts of depressions. Here, we quantify the variation of hydrological depression variables between DTMs with different acquisition methods, processing methods and grid sizes based on nationwide 25 m × 25 m and 10 m × 10 m DTMs and 2 m × 2 m ALS-DTM in Finland. The variables considered are the mean depth of the depression, the number of its pixels, and its area and volume. Shallow and single-pixel depressions and the effect of mean filtering on ALS-DTM were also studied. Quantitative methods and error models were employed. In our study, the depression variables were dependent on the scale, area and acquisition method. When the depths of depression pixels were compared with the most accurate DTM, the maximum errors were OPEN ACCESSWater 2014, 6 272 found to create the largest differences between DTMs and hence dominated the amount and statistical distribution of the depth error. On the whole, the ability of a DTM to accurately represent depressions varied uniquely according to each depression, although DTMs also displayed certain typical characteristics. Thus, a DTM's higher resolution is no guarantee of a more accurate representation of topographic depressions, even though acquisition and processing methods have an important bearing on the accuracy.

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Removal of artifact depressions from digital elevation models: towards a minimum impact approach

Cited by 150 publications

References 16 publications

A Hydrological and Geomorphometric Approach to Understanding the Generation of Wadi Flash Floods

A Hydrological and Geomorphometric Approach to Understanding the Generation of Wadi Flash Floods

A comparison of existing surficial hydrological data layers in a low-relief forested Ontario landscape with those derived from a LiDAR DEM

Nationwide Digital Terrain Models for Topographic Depression Modelling in Detection of Flood Detention Areas

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