scholarly journals A COMPARATIVE ANALYSIS OF DIFFERENT DEM INTERPOLATION METHODS

2013 ◽  
Vol 39 (4) ◽  
pp. 171-177 ◽  
Author(s):  
Pattathal Vijayakumar Arun
Keyword(s):  
Comparative Analysis ◽  
Three Dimensional ◽  
Ground Field ◽  
Comparative Performance ◽  
Terrain Model ◽  
Natural Neighbor ◽  
Digital Elevation ◽  
Distance Weighted ◽  
Test Points ◽  
Inverse Distance

Visualization of geospatial entities generally entails Digital Elevation models (DEMs) that are interpolated to establish three dimensional co-ordinates for entire terrain. The accuracy of generated terrain model depends on the interpolation mechanism adopted and hence it is needed to investigate the comparative performance of different approaches in this context. General interpolation techniques namely Inverse Distance Weighted, Kriging, Topo to Raster, Natural Neighbor, and Spline approaches have been compared. Differential ground field survey has been conducted to generate reference DEM as well as specific set of test points for comparative evaluation. We have also investigated the suitability SRTM DEM for Indian terrain by comparing it with the SOI DEM. Contours were generated at different intervals for comparative analysis and found SRTM as more suitable. The terrain sensitivity of various methods has also been analyzed with reference to the study area.

scholarly journals High spatial resolution digital elevation model (DEM) production using different interpolations techniques

2019 ◽  
Vol 11 (21) ◽  
pp. 116-126
Author(s):  
Israa Jameel Muhsin
Keyword(s):  
Spatial Resolution ◽  
University Campus ◽  
Interpolation Methods ◽  
Natural Neighbor ◽  
Digital Elevation ◽  
Global Positioning ◽  
Distance Weighted ◽  
Elevation Model ◽  
Accuracy Assessments ◽  
Inverse Distance

DEMs, thus, simply regular grids of elevation measurements over the land surface.The aim of the present work is to produce high resolution DEM for certain investigated region (i.e. Baghdad University Campus\ college of science). The easting and northing of 90 locations, including the ground-base and buildings of the studied area, have been obtained by field survey using global positioning system (GPS). The image of the investigated area has been extracted from Quick-Bird satellite sensor (with spatial resolution of 0.6 m). It has been geo-referenced and rectified  using 1st order polynomial transformation. many interpolation methods have been used to estimate the elevation such as ordinary Kriging, inverse distance weighted (IDW) and  natural neighbor methods. The mosaic  algorithm has then been applied between the base and building layers of studied area in order to perform the final DEM. The accuracy assessments of the interpolation methods have been calculated using the root-mean-square-error (RMSE) criterion. Finally, the estimated DEMs have been used to constructing 3-D views of the original image.

GIS Based Coal Seam Floor DEM Construction According to Floor Contours and Considering Faults Distribution

2014 ◽  
Vol 1046 ◽  
pp. 516-520
Author(s):  
He Yu Zhang ◽  
Fan Lei ◽  
Fei Huang
Keyword(s):  
Spatial Distribution ◽  
Coal Seam ◽  
Three Dimensional ◽  
Coal Production ◽  
Mine Design ◽  
Coal Seams ◽  
Inverse Distance Weighted ◽  
Coal Deposits ◽  
Distance Weighted ◽  
Inverse Distance

Coal seam floor contours are one of the most important 8 mine maps, and was usually used for coal mine decision-making. However, the graph, which was expressed as lines, has many disadvantages, including inadequate intuitive, poor visibility, and weak in expression of three-dimensional morphology formation. Thus, the readers have to spend more time to reveal the spatial distribution of coal deposits. According to the coal seam floors contours, and considering the constraints of faults in coal seams, the following steps were implemented to acquire coal seam floor DEM, which are: 1) contours discrete; and 2) interpolation using Inverse Distance Weighted method (IDW). The process was easy-manipulated, and the results could reflect the spatial distribution of coal seams in an objective, intuitively, and strong visibility manner. The method could facilitate and guide the analysis of mine design and coal production.

scholarly journals TERRAMOD : A Program for Generation of Three Dimensional Terrain Model Using Digital Elevation Data

1993 ◽  
Vol 4 (4) ◽  
pp. 365-389 ◽  
Author(s):  
Shinji MASUMOTO ◽  
Venkatesh RAGHAVAN ◽  
Masanori SAKAMOTO ◽  
Kiyoji SHIONO
Keyword(s):  
Three Dimensional ◽  
Terrain Model ◽  
Digital Elevation ◽  
Elevation Data ◽  
Digital Elevation Data

scholarly journals The potential of global solar radiation in the Silesia region as a renewable source of energy

2016 ◽  
Vol 4 (4) ◽  
pp. 32-40 ◽  
Author(s):  
Katarzyna Waniek
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Global Radiation ◽  
Three Dimensional ◽  
Global Solar Radiation ◽  
Economic Transformation ◽  
Coal Industry ◽  
Terrain Model ◽  
Digital Elevation ◽  
Research Period

AbstractHistorically, Silesia has been at the centre of the Polish coal industry for many years and thus has experienced poorer air quality compared to other voivodeships. However, in recent years strong economic transformation in the area has led to a considerable reduction in coal production. This study aimed to assess the variability of global solar radiation at selected stations within the Silesian voivodeship, in order to re-evaluate the resources of renewable solar energy during the period 1994–2013. The theoretical potential of solar radiation was calculated based on a three-dimensional terrain model. The data on global solar radiation from 13 stations within the Silesia region, covering the period 1994–2013, were obtained from the Regional Inspectorate of Environmental Protection in Katowice. The most favourable conditions for the use of solar energy were found at the cities Sosnowiec and Cieszyn. The largest increase in global radiation over the research period was observed in Zabrze. The average annual global radiation ranged between 600–1300 kWh·m−2. Digital Elevation Models (DEM) for selected districts of the Silesia region were used to calculate the theoretical potential of global solar radiation. The highest theoretical potential of global radiation was found in the district of Cieszyn, located at the highest altitude.

scholarly journals Research on colorized physical terrain modeling for intelligent vehicle navigation

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878741
Author(s):  
Jingbin Hao ◽  
Hansong Ji ◽  
Hao Liu ◽  
Zhongkai Li ◽  
Haifeng Yang
Keyword(s):  
Digital Elevation Model ◽  
Land Use Planning ◽  
Three Dimensional ◽  
Aerial Images ◽  
Surface Model ◽  
File Format ◽  
Terrain Model ◽  
Digital Elevation ◽  
Model File ◽  
Elevation Model

Colorized physical terrain models are needed in many applications, such as intelligent navigation, military strategy planning, landscape architecting, and land-use planning. However, current terrain elevation information is stored as digital elevation model file format, and terrain color information is generally stored in aerial images. A method is presented to directly convert the digital elevation model file and aerial images of a given terrain to the colorized virtual three-dimensional terrain model, which can be processed and fabricated by color three-dimensional printers. First, the elevation data and color data were registered and fused. Second, the colorized terrain surface model was created by using the virtual reality makeup language file format. Third, the colorized three-dimensional terrain model was built by adding a base and four walls. Finally, the colorized terrain physical model was fabricated by using a color three-dimensional printer. A terrain sample with typical topographic features was selected for analysis, and the results demonstrated that the colorized virtual three-dimensional terrain model can be constructed efficiently and the colorized physical terrain model can be fabricated precisely, which makes it easier for users to understand and make full use of the given terrain.

scholarly journals Analisis Penambahan Resolusi Digital Elevation Model (DEM) dengan Menggunakan Metode Interpolasi Inverse Distance Weighted (IDW) untuk Aplikasi Analisis Potensi Longsoran

2019 ◽  
Author(s):  
Rustan
Keyword(s):  
Root Mean Square Error ◽  
Digital Elevation Model ◽  
Mean Square ◽  
Data Input ◽  
Data Format ◽  
Inverse Distance Weighted ◽  
Digital Elevation ◽  
Distance Weighted ◽  
Elevation Model ◽  
Inverse Distance

Informasi ketinggian suatu tempat di permukaan bumi (elevasi) merupakan hal yang sangat penting di dalamanalisis geospasial. Data elevasi tersebut umumnya disimpan dalam bentuk Digital Elevation Model (DEM).DEM selanjutnya diintegrasikan dengan data geospasial lainnya di dalam GIS untuk berbagai keperluan.Lembaga formal seperti USGS, NASA, METI secara aktif melakukan pengambilan data DEM melaluiteknologi satelit dan menyediakan data DEM secara global dan dapat diperoleh secara online. Namundemikian, umumnya DEM yang tersedia secara gratis adalah DEM dengan ketelitian piksel 30 m atau lebihbesar. Khusus untuk wilayah Indonesia, ketersediaan data DEM dengan resolusi yang lebih tinggi masihsangat minimal. Padahal data DEM resolusi tinggi dibutuhkan untuk berbagai macam aplikasi misalnyasebagai data input dalam pemodelan debris flow. Pembuatan DEM dengan resolusi yang lebih tinggi dapatdilakukan melalui interpolasi titik ketinggian. Data digital berupa ketinggian yang didapat dari DEM SRTM30 m dalam bentuk format raster diekstrak di ArcMap kemudian diubah menjadi data format point sebagaiinput untuk proses interpolasi. Pada penelitian ini, akan dilakukan pembuatan DEM resolusi 5 mmenggunakan metode interpolasi Inverse Distance Weighted (IDW). Penelitian ini dilakukan pada daerahyang rawan longsor di Jawa Barat. Akurasi hasil interpolasi dilakukan dengan membandingan DEMsebelum interpolasi baik secara kualitatif dan kuantitatif. Tingkat akurasi hasil interpolasi data DEM secarakuantitatif dinyatakan dalam RMSE (Root Mean Square Error).

scholarly journals COMPARISON OF KRIGING AND INVERSE DISTANCE WEIGHTED (IDW) INTERPOLATION METHODS IN LINEAMENT EXTRACTION AND ANALYSIS

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Agung Setianto ◽  
Tamia Triandini
Keyword(s):  
Digital Elevation Model ◽  
Random Distribution ◽  
Geological Structures ◽  
Inverse Distance Weighted ◽  
Advantages And Disadvantages ◽  
Digital Elevation ◽  
Classical Statistics ◽  
Distance Weighted ◽  
Elevation Model ◽  
Inverse Distance

Analysis that is based on geostatistics eliminates many corresponding defects and limitations compared to classical statistics which have been developed by random distribution theory of processes and variables. Interpolation is important for local analysis by GIS, because many maps used for GIS operation are made by interpolation. In this research, two different methods which is Kriging method and Inverse Distance Weighted (IDW) method was examined for developing Digital Elevation Model image. Each method’s advantages and disadvantages were considered. The study are, Kepil, is within Kulon Progo physiographic and stratigraphic area, located in the western part of Yogyakarta city. This area is located close to the Java Island Subduction Zone, hence influence of tectonic plate movement is relatively dominant. Geological structures become a main factor that shapes the recent morphology. This study area also has many settlements and has high weathering and erosion rate. Lineaments are extracted based on Digital Elevation Model to provide assistance in delineating geological structures. The structural geology analysis and an understanding of tectonic phase of the area provide useful information for geological map- ping. Accuracy of lineament depends on extraction and imagery parameters used. In this study, the extraction was conducted by two different raster methods, namely Kriging and Inverse Distance Weighted (IDW) with the same resolution of 30 meters. Lineament extracted automatically (digitally) with certain parameter settings. Keywords: Kriging, inverse distance weighted, interpolation, lineament, random distribution, digital elevation model.

scholarly journals Comparison of Inverse Distance Weighted and Natural Neighbor Interpolation Method at Air Temperature Data in Malang Region

CAUCHY ◽  
2018 ◽  
Vol 5 (2) ◽  
pp. 48 ◽  
Author(s):  
Jaka Pratama Musashi ◽  
Henny Pramoedyo ◽  
Rahma Fitriani
Keyword(s):  
Air Temperature ◽  
Spatial Data ◽  
Spatial Interpolation ◽  
Interpolation Method ◽  
Inverse Distance Weighted ◽  
Natural Neighbor ◽  
Comparison Results ◽  
Data Record ◽  
Distance Weighted ◽  
Inverse Distance

The purpose of this study was to compare the results of Inverse Distance Weighted (IDW) and Natural Neighbor interpolation methods for spatial data of air temperature in the Malang Region.  Interpolation is one way to determine a point of events from several points around the known value.  Spatial interpolation can be used to estimate an area that does not have a data record using the value of its known surroundings.  38 points observation air temperature of Malang Region in 2016 is used as a sample point to interpolate the surrounding air temperature.  Obtained optimum parameter power value is 2 for IDW interpolation method.  The RMSE comparison results show that IDW method is better to be used than the Natural Neighbor Interpolation method with the RMSE values of 1,2292 for the IDW method and 1,6173 for the NN method.

Mapping subtle structures with light detection and ranging (LIDAR): flow units and phreatomagmatic rootless cones in the North Mountain Basalt, Nova Scotia

2006 ◽  
Vol 43 (2) ◽  
pp. 157-176 ◽  
Author(s):  
Tim L Webster ◽  
J Brendan Murphy ◽  
John C Gosse
Keyword(s):  
Three Dimensional ◽  
Light Detection And Ranging ◽  
Eastern Canada ◽  
Light Detection ◽  
Terrain Model ◽  
The North ◽  
Flow Units ◽  
Digital Elevation ◽  
Ring Structures ◽  
Rootless Cones

Light detection and ranging (LIDAR) is an emerging technology to generate high-resolution digital elevation models (DEMs). Subtle topographical differences among three flow units of the Jurassic North Mountain Basalt, eastern Canada, are visible on a LIDAR-derived DEM. The boundaries were verified by field mapping and allow a simple projection of the contact planes through the terrain model to provide a three-dimensional visualization of the flow units. Several ring structures in the lower flow unit, distinguishable only in the LIDAR data, are interpreted to be the remnants of rootless phreatomagmatic cones. Glacial erosion has since excavated the highly fractured cone material, leaving the more resistant dike and quenched melt to form protruding ring structures. The ability to detect subtle variations in topography using LIDAR may identify previously undetected landscape elements.

scholarly journals Digital Elevation Models: Terminology and Definitions

2021 ◽  
Vol 13 (18) ◽  
pp. 3581
Author(s):  
Peter L. Guth ◽  
Adriaan Van Niekerk ◽  
Carlos H. Grohmann ◽  
Jan-Peter Muller ◽  
Laurence Hawker ◽  
...  
Keyword(s):  
Near Infrared ◽  
Digital Elevation Models ◽  
Three Dimensional ◽  
Digital Terrain Model ◽  
General Term ◽  
Surface Model ◽  
Infrared Sensors ◽  
Terrain Model ◽  
Digital Elevation ◽  
Wide Range

Digital elevation models (DEMs) provide fundamental depictions of the three-dimensional shape of the Earth’s surface and are useful to a wide range of disciplines. Ideally, DEMs record the interface between the atmosphere and the lithosphere using a discrete two-dimensional grid, with complexities introduced by the intervening hydrosphere, cryosphere, biosphere, and anthroposphere. The treatment of DEM surfaces, affected by these intervening spheres, depends on their intended use, and the characteristics of the sensors that were used to create them. DEM is a general term, and more specific terms such as digital surface model (DSM) or digital terrain model (DTM) record the treatment of the intermediate surfaces. Several global DEMs generated with optical (visible and near-infrared) sensors and synthetic aperture radar (SAR), as well as single/multi-beam sonars and products of satellite altimetry, share the common characteristic of a georectified, gridded storage structure. Nevertheless, not all DEMs share the same vertical datum, not all use the same convention for the area on the ground represented by each pixel in the DEM, and some of them have variable data spacings depending on the latitude. This paper highlights the importance of knowing, understanding and reflecting on the sensor and DEM characteristics and consolidates terminology and definitions of key concepts to facilitate a common understanding among the growing community of DEM users, who do not necessarily share the same background.

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