Evaluation of the Accuracy of Digital Elevation Model Produced from Different Open Source Data

Hasan, Raghad Hadi

doi:10.31026/j.eng.2019.08.07

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…This model was validated by Chi-square analysis of runoff along the urban surface landscape. This has reinforced the conclusions reached about the accuracy of high precision elevation data from Hoffmann et al [42], Chigbu et al [43], Sami et al [17], Hasan [44] and my own research by SWMM [16]. It is worth mentioning that SWMM only requires the permeability coefficient of landscape layouts [45].…”

Section: Spatial Autocorrelation Analysis Of Sub-catchmentssupporting

confidence: 76%

Highly Resolved Runoff Path Simulation Based on Urban Surface Landscape Layout for Sub-Catchment Scale

Bai

Borowiak

Yan-ru

et al. 2021

Water

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The present study explored the regularities of the path and network structure of surface runoff formed under the influence of urban surface landscapes. We used unmanned aerial vehicle sensors to examine terrain and land use/cover change. The sub-catchments of a typical city, Luohe, China, were evaluated for the effect of landscape on surface runoff. Landscape and topographic parameters from 166 urban sub-catchments in Luohe were obtained by measuring digital surface models and orthophoto maps. The minimum cumulative resistance model was used to simulate potential runoff and 491,820 potential runoff paths, connected upstream and downstream, were obtained in 166 sub-catchments. The chi-square test was used to compare simulation runoff paths and actual runoff depth, with the results showing that they led to the same distribution trend. When the gravity coefficient was greater than 18.93, path disconnection occurred among 166 sub-catchments, with a decrease in channels. The potential runoff distribution appeared in aggregation; as the gravity coefficient increased from low to high, aggregation showed a trend of increasing initially but subsequently decreasing. The initial runoff formed sub-catchments with high gravity coefficients, then accumulated and spread to the others. It is important that proper measures are taken to establish a unified planning of the city’s surface landscape in order to produce suitable surface runoff distribution.

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Section: Spatial Autocorrelation Analysis Of Sub-catchmentssupporting

confidence: 76%

Highly Resolved Runoff Path Simulation Based on Urban Surface Landscape Layout for Sub-Catchment Scale

Bai

Borowiak

Yan-ru

et al. 2021

Water

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“…In a dedicated drone-based photogrammetry survey ground control points are established, and accurate GPS data is obtained. Previous work resolving the accuracy of Google Earth's co-ordinate system and terrain model has shown horizontal errors of >4 m (Amran et al 2022) and >6 m for elevation data (Hasan 2019), suggesting quantitative measurements taken from these models could be erroneous. However, again, the purpose of this work was not to replicate such model building and instead test the use of a microdrone in situations where such controls are not available.…”

Section: Photogrammetry Methodologymentioning

confidence: 99%

Microdrones in field-based structural geology: a photogrammetry and fracture quantification case study from the North Mountain Basalt, Nova Scotia, Canada

Peace

Jess

2023

Drone Syst. Appl.

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Drone use in geoscience research and teaching is becoming widespread, with diverse applications documented. Many studies favour consumer-level drones, however, recent developments in so-called ‘microdrones’ (takeoff weight <250 g) necessitates further investigation to determine possible benefits, limitations, and future developments. Microdrone deployment is often advantageous in numerous jurisdictions due to fewer regulations, lower cost, and simple transportation. In this study, we deployed a DJI Mini 2 microdrone to study the ca. 201 Ma North Mountain Basalt (NMB) exposed in coastal outcrops along the Bay of Fundy, Nova Scotia, Canada. We report benefits of the microdrone as a field aid with three related approaches: 1) general site location and characterisation, 2) drone-based photogrammetry using ArcGIS Drone2Map, and 3) quantitative fracture mapping using FracPaQ. Application of these methods, showed that microdrone-acquired imagery from the NMB exposures provides a valuable resource for interpretation post-fieldwork. The microdrone-derived data shows, two near-perpendicular fracture sets in the NMB: ~NNE-SSW and ~ESE-WNW, with some variation along the coastline. Overall, we determined that microdrones offer field-based geoscientists a valuable tool due to quick deployment, a simple image capture process and relatively straight forward data processing, and thus predict that this approach to enhancing fieldwork will continue to advance.

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“…For mountainous areas with complex terrain, in order to improve the registration accuracy based on geocoding, it is necessary to correct the image point element offset caused by terrain fluctuation with the help of a high-precision digital elevation model (DEM) [16] and a reference image map corrected by ground control points. Limited by the accuracy of the available DEM and the lack of reference images corrected by sufficient ground control points, there are still different degrees of alignment errors in local areas with serious distortion in mountainous areas after ortho-rectification [17,18]. For higher image alignment accuracy, it is necessary to further correct with the help of an automatic image registration method.…”

Section: Introductionmentioning

confidence: 99%

Coarse-to-Fine Image Registration for Multi-Temporal High Resolution Remote Sensing Based on a Low-Rank Constraint

Zhang

Luo

et al. 2022

Remote Sensing

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For multi-temporal high resolution remote sensing images, the image registration is important but difficult due to the high resolution and low-stability land-cover. Especially, the changing of land-cover, solar altitude angle, radiation intensity, and terrain fluctuation distortion in the overlapping areas can represent different image characteristics. These time-varying properties cause traditional registration methods with known reference information to fault. Therefore, in this paper we propose a comprehensive coarse-to-fine registration (CCFR) algorithm. First, we design a low-rank constraint-based batch reference extraction (LRC-BRE) method. Under the low-rank constraint, the stable features with highly spatial co-occurrence can be reconstructed via matrix decomposition, and are set as reference images to batch registration. Second, we improve the general feature registration with block feature matching and local linear transformation (BFM-LLT) operators including match outlier filtering (MOF) on regional mutual information and dual-weighted block fitting (DWBF). Finally, based on combining LRC-BRE and BFM-LLT, CCFR is integrated. Experimental results show that the proposed method has a good batch alignment effect, especially in the registration of large difference image pairs. The proposed CCFR achieves a significant performance improvement over many state-of-the-art registration algorithms.

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Evaluation of the Accuracy of Digital Elevation Model Produced from Different Open Source Data

Cited by 5 publications

References 6 publications

Highly Resolved Runoff Path Simulation Based on Urban Surface Landscape Layout for Sub-Catchment Scale

Highly Resolved Runoff Path Simulation Based on Urban Surface Landscape Layout for Sub-Catchment Scale

Microdrones in field-based structural geology: a photogrammetry and fracture quantification case study from the North Mountain Basalt, Nova Scotia, Canada

Coarse-to-Fine Image Registration for Multi-Temporal High Resolution Remote Sensing Based on a Low-Rank Constraint

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