Digital Elevation Model Accuracy Aspects

Ravibabu, Mandla V.; Jain, Kamal

doi:10.3923/jas.2008.134.139

Cited by 15 publications

(8 citation statements)

References 9 publications

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“…These may include features such as the proximity to water and food, population density and usable land for agriculture and building. Elevation and slope are properties of terrain that influence the distribution of environmental phenomena and the nature of environmental processes (Ravibabu and Jain, 2008). In rural areas, steep slopes present many challenges which make it impracticable for building houses.…”

Section: Resultsmentioning

confidence: 99%

Covariate construction of nonconvex windows for spatial point patterns

Mahloromela,

Fabris-Rotelli,

Kraamwinkel

2023

SASA

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In some standard applications of spatial point pattern analysis, window selection for spatial point pattern data is complex. Often, the point pattern window is given a priori. Otherwise, the region is chosen using some objective means reflecting a view that the window may be representative of a larger region. The typical approaches used are the smallest rectangular bounding window and convex windows. The chosen window should however cover the true domain of the point process since it defines the domain for point pattern analysis and supports estimation and inference. Choosing too large a window results in spurious estimation and inference in regions of the window where points cannot occur. We propose a new algorithm for selecting the point pattern domain based on spatial covariate information and without the restriction of convexity, allowing for better estimation of the true domain. Amodified kernel smoothed intensity estimate that uses the Euclidean shortest path distance is proposed as validation of the algorithm. The proposed algorithm is applied in the setting of rural villages in Tanzania. As a spatial covariate, remotely sensed elevation data is used. The algorithm is able to detect and filter out high relief areas and steep slopes; observed characteristics that make the occurrence of a household in these regions improbable. Keywords: Covariate, Euclidean shortest path, Nonconvex, Spatial point pattern, Window selection

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Section: Resultsmentioning

confidence: 99%

Covariate construction of nonconvex windows for spatial point patterns

Mahloromela,

Fabris-Rotelli,

Kraamwinkel

2023

SASA

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“…The extracted topographic parameters rely on the DEM resolution and accuracy, and hence, large-scale DEMs at a high resolution, or small cell size, are more reliable to draw out these elements [62,63]. The interpolation quality is based on the required number and distribution of the selected GCPs [20,[64][65][66], but it is influenced by data diffusion rather than its density [23]. Although the use of high sampling data gives better accuracy, it increases the required time for calculation and analysis.…”

Section: Resultsmentioning

confidence: 99%

“…[17]. The quality of a DEM is affected by many factors that can be classified into (1) sample data density [18], (2) distribution of the source data [19], (3) data accuracy [20], (4) characteristics of the surface or terrain roughness [21], (5) cell size or spatial resolution [22], and (6) interpolation methods [23].…”

Section: Introductionmentioning

confidence: 99%

Impact of interpolation techniques on the accuracy of large-scale digital elevation model

et al. 2020

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AbstractThere is no doubt that the tremendous development of information technology was one of the driving factors behind the great growth of surveying and geodesy science. This has spawned modern geospatial techniques for data capturing, acquisition, and visualization tools. Digital elevation model (DEM) is the 3D depiction of continuous elevation data over the Earth’s surface that is produced through many procedures such as remote sensing, photogrammetry, and land surveying. DEMs are essential for various surveying and civil engineering applications to generate topographic maps for construction projects at a scale that varies from 1:500 to 1:2,000. GIS offers a powerful tool to create a DEM with high resolution from accurate land survey measurements using interpolation methods. The aim of this research is to investigate the impact of estimation techniques on generating a reliable and accurate DEM suitable for large-scale mapping. As a part of this study, the deterministic interpolation algorithms such as ANUDEM (Topo to Raster), inverse distance weighted (IDW), and triangulated irregular network (TIN) were tested using the ArcGIS desktop for elevation data obtained from real total station readings, with different landforms to show the effect of terrain roughness, data density, and interpolation process on DEM accuracy. Furthermore, comparison and validation of each interpolator were carried out through the cross-validation method and numerous graphical representations of the DEM. Finally, the results of the investigations showed that ANUDEM and TIN models are similar and significantly better than those attained from IDW.

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“…In particular, an urgent task is to create high-precision digital elevation models (DEM) and use them to calculate the spatial characteristics of construction objects, control the implementation of earthworks, vertical design and many other tasks of geodetic support. Domestic and foreign scientists have been dealing with the problem of creating DEMs for various types of spatial data for a long time (Burshtynska and Zayats, 2002;Ravibabu and Jain, 2008;Toth et al, 2015;Ostrovsky, 2015aOstrovsky, , 2015bOstrovsky, , 2016Kostov, 2016;Rudyj, 2016). The theoretical and practical achievements of these and many other authors, however, constantly need to be supplemented and improved in view of the introduction of new means of obtaining geodata, including laser scanning, surveys from unmanned aerial vehicles (UAVs).…”

Section: Introductionmentioning

confidence: 99%

Geodesy and Cartography

Trevoho,

Ostrovskiy,

Kolb

et al. 2021

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This work aims to study the vertical planning method for the terrain area as part of the process of construction geodetic support. Such planning will be carried out based on the aerial survey data from UAVs, which allow the creation of a high-quality digital elevation model (DEM) with sufficient node density for reliable surface terrain modelling. During the study, we test the hypothesis of the possibility of using archival aerial photographs from UAVs to model the terrain of the local area. Both the actual achievable accuracy of terrain modeling in the course of photogrammetric processing of archived aerial photographs, and methods for creating a polygonal terrain model using input spatial data in the form of clouds of 3D points of a given density require analysis. To do this, we will perform comparisons of the accuracy of calculating earth masses, carried out based on the digital triangulation elevation models (TIN). These models were based on different algorithms for creating Delaunay triangulation with different degrees of 3D point sparsity. We proposed to use sparsity of dense clouds of points representing the surface of the terrain and which were obtained by the photogrammetric method. Computer terrain modelling and calculation of vertical planning parameters were performed by us for the area with flat terrain at angles up to 3.5 degrees. We evaluated the potential of archived UAV aerial photographs and algorithms for creating Delaunay triangulation at different densities of its nodes for calculating the volumes of earth masses.

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Digital Elevation Model Accuracy Aspects

Cited by 15 publications

References 9 publications

Covariate construction of nonconvex windows for spatial point patterns

Covariate construction of nonconvex windows for spatial point patterns

Impact of interpolation techniques on the accuracy of large-scale digital elevation model

Geodesy and Cartography

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