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Journal articles on the topic 'Digital Terrain Modell'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Hanari, Kubad Zeki. "Transformation of Contour Maps to Digital terrain Model (DTM)." Journal of Zankoy Sulaimani - Part A 3, no. 1 (2000): 93–111. http://dx.doi.org/10.17656/jzs.10056.

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2

Klimánek, M. "Optimization of digital terrain model for its application in forestry." Journal of Forest Science 52, No. 5 (2012): 233–41. http://dx.doi.org/10.17221/4506-jfs.

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Digital terrain model (DTM) represents a very important geospatial data type. In the CzechRepublic, the most common digital contour data sources are the Primary Geographic Data Base (ZABAGED), the Digital Ground Model (DMÚ25) and eventually the Regional Plans of Forest Development (OPRL). In constructing regular raster DTM, the initial process requires interpolation between the points in order to estimate values in a regular grid pattern. In this study, constructions of DTM from the above-mentioned data were tested using several software products: ArcEditor 9.0, Atlas 3.8, GRASS 6.1, Idrisi 14

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3

Kakimzhanov, Y., A. Yerzhankyzy, and Zh Kozhaev. "Modern methods of processing and creating a digital terrain model." Journal of Geography and Environmental Management 47, no. 4 (2017): 33–42. http://dx.doi.org/10.26577/jgem.2018.2.434.

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4

Seib, Nadine, Jonas Kley, Jewgenij Torizin, Ina Zander, and Andreas Büchel Goepel. "Identification of volcanic landforms in a Digital Terrain Model (DTM) of the Westeifel." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 159, no. 4 (2008): 657–70. http://dx.doi.org/10.1127/1860-1804/2008/0159-0657.

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5

MENDONÇA, R. L., and J. L. PORTUGAL. "Digital Terrain Model Generation from Filtering Data of LiDAR of Area With Rugged Terrain." Anuário do Instituto de Geociências - UFRJ 41, no. 3 (2018): 568–79. http://dx.doi.org/10.11137/2018_3_568_579.

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6

Ebner, Heinrich. "Digital Terrain Models for High Mountains." Mountain Research and Development 7, no. 4 (1987): 353. http://dx.doi.org/10.2307/3673283.

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7

Meneses, Andrés Seco, Francisco Ramírez Chasco, Beñat García, Jesús Cabrejas, and María González-Audícana. "Quality Control in Digital Terrain Models." Journal of Surveying Engineering 131, no. 4 (2005): 118–24. http://dx.doi.org/10.1061/(asce)0733-9453(2005)131:4(118).

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8

Zhou, Howard, Jie Sun, Greg Turk, and James M. Rehg. "Terrain Synthesis from Digital Elevation Models." IEEE Transactions on Visualization and Computer Graphics 13, no. 4 (2007): 834–48. http://dx.doi.org/10.1109/tvcg.2007.1027.

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9

Tasca, Bárbara Fernanda da Cunha, Fernanda Vieira Xavier, and Auberto José Barros Siqueira. "Localização de nascentes ameaçadas em áreas urbanas: Uma estratégia preventiva de conservação ambiental com auxílio de Modelo Digital do Terreno (MDT)." Revista Brasileira de Geografia Física 14, no. 4 (2021): 2186–203. http://dx.doi.org/10.26848/rbgf.v14.4.p2186-2203.

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Identifying urban headwaters and delimitating their Permanent Preservation Areas (PPA) before its inevitable degradation by the human occupation is essential to guarantee the long-term sustainability of the cities. However, the scarcity of tools for facilitating this purpose prevents public authorities from speeding up their control actions. As headwaters frequently occur near the beginning of first-order drainage channels, it is assumed that their location can be obtained by using numerical models of the land surface. Thus, this study aimed to evaluate and demonstrate the applicability of a D

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10

Fischer, Roland, Philipp Dittmann, René Weller, and Gabriel Zachmann. "AutoBiomes: procedural generation of multi-biome landscapes." Visual Computer 36, no. 10-12 (2020): 2263–72. http://dx.doi.org/10.1007/s00371-020-01920-7.

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Abstract Advances in computer technology and increasing usage of computer graphics in a broad field of applications lead to rapidly rising demands regarding size and detail of virtual landscapes. Manually creating huge, realistic looking terrains and populating them densely with assets is an expensive and laborious task. In consequence, (semi-)automatic procedural terrain generation is a popular method to reduce the amount of manual work. However, such methods are usually highly specialized for certain terrain types and especially the procedural generation of landscapes composed of different b

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11

Cogbill, Allen H. "Gravity terrain corrections calculated using digital elevation models." GEOPHYSICS 55, no. 1 (1990): 102–6. http://dx.doi.org/10.1190/1.1442762.

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Corrections for terrain effects are required for virtually all gravity measurements acquired in mountainous areas, as well as for high‐precision surveys, even in areas of low relief. Terrain corrections are normally divided into two parts, one part being the correction for terrain relatively close to the gravity station (the “inner‐zone” correction) and the other part being the correction for more distant, say, >2 km, terrain. The latter correction is normally calculated using a machine procedure that accesses a digital‐terrain data set. The corrections for terrain very close to the gravity

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12

Bruun, Bjørn T., and Stein Nilsen. "Wavelet representation of large digital terrain models." Computers & Geosciences 29, no. 6 (2003): 695–703. http://dx.doi.org/10.1016/s0098-3004(03)00015-3.

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13

Tenthoff, Moritz, Kay Wohlfarth, and Christian Wöhler. "High Resolution Digital Terrain Models of Mercury." Remote Sensing 12, no. 23 (2020): 3989. http://dx.doi.org/10.3390/rs12233989.

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We refined our Shape from Shading (SfS) algorithm, which has previously been used to create digital terrain models (DTMs) of the Lunar and Martian surfaces, to generate high-resolution DTMs of Mercury from MESSENGER imagery. To adapt the reconstruction procedure to the specific conditions of Mercury and the available imagery, we introduced two methodic innovations. First, we extended the SfS algorithm to enable the 3D-reconstruction from image mosaics. Because most mosaic tiles were acquired at different times and under various illumination conditions, the brightness of adjacent tiles may vary

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14

Kraus, Karl, Wilfried Karel, Christian Briese, and Gottfried Mandlburger. "Local accuracy measures for digital terrain models." Photogrammetric Record 21, no. 116 (2006): 342–54. http://dx.doi.org/10.1111/j.1477-9730.2006.00400.x.

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15

Floriani, Leila De, and Paola Magillo. "Visibility algorithms on triangulated digital terrain models." International journal of geographical information systems 8, no. 1 (1994): 13–41. http://dx.doi.org/10.1080/02693799408901985.

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16

FUKUDA, Seisuke, Tomohiko SAKAI, and Takahide MIZUNO. "Landing Radar Simulation with Digital Terrain Models." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN 10, ists28 (2012): Pd_61—Pd_66. http://dx.doi.org/10.2322/tastj.10.pd_61.

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17

Schröder, Florian, and Patrick Roßbach. "Managing the complexity of digital terrain models." Computers & Graphics 18, no. 6 (1994): 775–83. http://dx.doi.org/10.1016/0097-8493(94)90003-5.

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18

Sodnik, Jošt, Anja Vrečko, Tomaž Podobnikar, and Matjaž Mikoš. "Digital terrain models and mathematical modelling of debris flows." Geodetski vestnik 56, no. 04 (2012): 826–37. http://dx.doi.org/10.15292/geodetski-vestnik.2012.04.826-837.

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19

Li, QingQuan, Zhi Wang, and BiSheng Yang. "Multi-resolution representation of digital terrain models with terrain features preservation." Science in China Series E: Technological Sciences 51, S1 (2008): 145–54. http://dx.doi.org/10.1007/s11431-008-5015-4.

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20

Leonowicz, Anna M., Bernhard Jenny, and Lorenz Hurni. "Terrain Sculptor: Generalizing Terrain Models for Relief Shading." Cartographic Perspectives, no. 67 (September 1, 2010): 51–60. http://dx.doi.org/10.14714/cp67.114.

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Shaded relief derived from high-resolution terrain models often contains distracting terrain details that need to be removed for medium- and small-scale mapping. When standard raster filter operations are applied to digital terrain data, important ridge tops and valley edges are blurred, altering the characteristic shape of these features in the resulting shaded relief. This paper introduces Terrain Sculptor, a software application that prepares generalized terrain models for relief shading. The application uses a generalization methodology based on a succession of raster operations. Curvature

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21

Gézero, L., and C. Antunes. "AN EFFICIENT METHOD TO CREATE DIGITAL TERRAIN MODELS FROM POINT CLOUDS COLLECTED BY MOBILE LiDAR SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 289–96. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-289-2017.

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The digital terrain models (DTM) assume an essential role in all types of road maintenance, water supply and sanitation projects. The demand of such information is more significant in developing countries, where the lack of infrastructures is higher. In recent years, the use of Mobile LiDAR Systems (MLS) proved to be a very efficient technique in the acquisition of precise and dense point clouds. These point clouds can be a solution to obtain the data for the production of DTM in remote areas, due mainly to the safety, precision, speed of acquisition and the detail of the information gathered.

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22

Sedláček, Jozef, Ondřej Šesták, and Miroslava Sliacka. "Comparison of Digital Elevation Models by Visibility Analysis in Landscape." Acta Horticulturae et Regiotecturae 19, no. 2 (2016): 28–31. http://dx.doi.org/10.1515/ahr-2016-0007.

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Abstract The paper investigates suitability of digital surface model for visibility analysis in GIS. In experiment there were analysed viewsheds from 14 observer points calculated on digital surface model, digital terrain model and its comparison to field survey. Data sources for the investigated models were LiDAR digital terrain model and LiDAR digital surface model with vegetation distributed by the Czech Administration for Land Surveying and Cadastre. The overlay method was used for comparing accuracy of models and the reference model was LiDAR digital surface model. Average equalities in c

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23

Obu, Jaroš, and Tomaž Podobnikar. "Algorithm for karst depression recognition using digital terrain models." Geodetski vestnik 57, no. 02 (2013): 260–70. http://dx.doi.org/10.15292/geodetski-vestnik.2013.02.260-270.

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24

Ren, Tianhe, Wenping Gong, Victor Mwango Bowa, Huiming Tang, Jun Chen, and Fumeng Zhao. "An Improved R-Index Model for Terrain Visibility Analysis for Landslide Monitoring with InSAR." Remote Sensing 13, no. 10 (2021): 1938. http://dx.doi.org/10.3390/rs13101938.

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The interferometric synthetic aperture radar (InSAR) technique is widely adopted for detecting and monitoring landslides, but its effectiveness is often degraded in mountainous terrains, due to geometric distortions in the synthetic aperture radar (SAR) image input. To evaluate the terrain effect on the applicability of InSAR in landslide monitoring, a variety of visibility evaluation models have been developed, among which the R-index models are quite popular. In consideration of the poor performance of the existing R-index models in the passive layover region, this study presents an improved

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25

Bj⊘rke, Jan T., and Stein Nilsen. "Wavelets applied to simplification of digital terrain models." International Journal of Geographical Information Science 17, no. 7 (2003): 601–21. http://dx.doi.org/10.1080/1365881031000135500.

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26

Pelivan, I. "Thermophysical modelling for high-resolution digital terrain models." Monthly Notices of the Royal Astronomical Society 478, no. 1 (2018): 386–98. http://dx.doi.org/10.1093/mnras/sty1009.

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27

Ayeni, O. O. "OPTIMUM LEAST SQUARES INTERPOLATION FOR DIGITAL TERRAIN MODELS." Photogrammetric Record 9, no. 53 (2006): 633–44. http://dx.doi.org/10.1111/j.1477-9730.1979.tb00105.x.

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28

Warner, W. S. "Creating digital terrain models from 35 mm PHOTOGRAPHY." Photogrammetric Record 13, no. 74 (2006): 249–55. http://dx.doi.org/10.1111/j.1477-9730.1989.tb00676.x.

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29

Merot, Ph, B. Ezzahar, C. Walter, and P. Aurousseau. "Mapping waterlogging of soils using digital terrain models." Hydrological Processes 9, no. 1 (1995): 27–34. http://dx.doi.org/10.1002/hyp.3360090104.

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30

Woodward, Derek J. "Inversion of aeromagnetic data using digital terrain models." GEOPHYSICS 58, no. 5 (1993): 645–52. http://dx.doi.org/10.1190/1.1443448.

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Although draped magnetic surveys contain more information about the magnetization of the rocks near the surface of the earth than surveys at constant elevation, allowance for the effects of the terrain is critical for their correct interpretation. A new method for calculating the magnetic effect of the topography from a digital terrain model by integrating analytically in the vertical direction and then numerically in the horizontal plane is presented. This method lends itself to the calculation of anomalies when the magnetization of the rocks varies with position and thus is well suited to th

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31

Gerstbach, Gottfried. "Precise alpine geoid determination without digital terrain models." Bulletin Géodésique 62, no. 4 (1988): 541–63. http://dx.doi.org/10.1007/bf02520243.

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32

Bjørke, Jan T., and Stein Nilsen. "Computation of Random Errors in Digital Terrain Models." GeoInformatica 11, no. 3 (2007): 359–82. http://dx.doi.org/10.1007/s10707-006-0012-x.

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33

Guth, Peter L., Eugene K. Ressler, and Todd S. Bacastow. "Microcomputer program for manipulating large digital terrain models." Computers & Geosciences 13, no. 3 (1987): 209–13. http://dx.doi.org/10.1016/0098-3004(87)90041-0.

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34

Germak, Oksana, Oksana Gugueva, and Natalya Kalacheva. "Creation of digital terrain models using software applications." E3S Web of Conferences 281 (2021): 05008. http://dx.doi.org/10.1051/e3sconf/202128105008.

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The article discusses the construction of a digital terrain model in various programs, which will be used for the vertical planning design. One of the major challenges in this area is the creation of an accurate and realistic surface, which will give an opportunity to create a quality and compliant site. To solve this problem and analyze, a model of the same territory and the same initial data has been built. The paper presents a construction algorithms DTM a method of constructing an irregular grid of heights, graphical implementation and analysis.

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35

Odalović, Oleg R., Sanja M. Grekulović, Miroslav Starcević, Dobrica Nikolić, Miljana S. Todorović Drakul, and Danilo Joksimović. "Terrain correction computations using digital density model of topographic masses." Geodetski vestnik 62, no. 01 (2018): 79–97. http://dx.doi.org/10.15292/geodetski-vestnik.2018.01.79-97.

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36

Hu, Guanghui, Wen Dai, Sijin Li, Liyang Xiong, and Guoan Tang. "A Vector Operation to Extract Second-Order Terrain Derivatives from Digital Elevation Models." Remote Sensing 12, no. 19 (2020): 3134. http://dx.doi.org/10.3390/rs12193134.

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Terrain derivatives exhibit surface morphology in various aspects. However, existing spatial change calculation methods for terrain derivatives are based on a mathematical scalar operating system, which may disregard the directional property of the original data to a certain extent. This situation is particularly true in second-order terrain derivatives, in which original data can be terrain derivatives with clear directional properties, such as slope or aspect. Thus, this study proposes a mathematical vector operation method for the calculation of second-order terrain derivatives. Given the e

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37

Bajat, Branislav, and Dragoljub Strbac. "Quality analysis of digital terrain models for the test area Zlatibor." Glasnik Srpskog geografskog drustva 83, no. 1 (2003): 31–42. http://dx.doi.org/10.2298/gsgd0301031b.

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Digital terrain models (DTM) have recently become products which substitute standard methods for the terrain relief presentation. As a part of a Geographic Information Systems (GIS) they represent not only a data base related to heights that are used for terrain visualization by the means of interpolation routines for the generation of contours, or terrain presentation by the 3D meshes, but also a useful data base in many GIS and other applications. Numerous users of DTMs should also be supplied with information of DTM quality. This is obtained by the statistical analysis of residuals between

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38

Rentsch, Hermann, Walter Welsch, Christian Heipke, and Maynard M. Miller. "Digital Terrain Models As A Tool For Glacier Studies." Journal of Glaciology 36, no. 124 (1990): 273–78. http://dx.doi.org/10.3189/002214390793701345.

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AbstractDigital terrain models (DTM) are a very important tool for all sorts of glacier studies and serve as a basis for many applications. The latest development is the combination of DTM with digital image-processing techniques which enable a much better visualization of the DTM, and thus a better interpretation of glaciological phenomena.These new technologies have been applied in an investigation of the Vaughan Lewis Icefall, Juneau Icefield, Alaska. A DTM has been produced by means of photogrammetrie measurements, and a glacier-flow velocity of up to 5.70 m d−1 in the steepest part has be

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39

Eliseeva, Mariya, and Andrey Pisarev. "Web-Based System of Preparation Digital Models of Terrain." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 1 (February 10, 2014): 46–52. http://dx.doi.org/10.15688/jvolsu1.2014.1.5.

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40

RIAZANOFF, SERGE, BERNARD CERVELLE, and JEAN CHOROWICZ. "Ridge and valley line extraction from digital terrain models." International Journal of Remote Sensing 9, no. 6 (1988): 1175–83. http://dx.doi.org/10.1080/01431168808954926.

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41

Heipke, C., J. Oberst, J. Albertz, et al. "Evaluating planetary digital terrain models—The HRSC DTM test." Planetary and Space Science 55, no. 14 (2007): 2173–91. http://dx.doi.org/10.1016/j.pss.2007.07.006.

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42

Korotin, A. S., and E. V. Popov. "Reconstruction of Terrain based on corrected Digital Elevation Models." Journal of Physics: Conference Series 1260 (August 2019): 072007. http://dx.doi.org/10.1088/1742-6596/1260/7/072007.

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43

Noman, Nawajish Sayeed, E. James Nelson, and Alan K. Zundel. "Review of Automated Floodplain Delineation from Digital Terrain Models." Journal of Water Resources Planning and Management 127, no. 6 (2001): 394–402. http://dx.doi.org/10.1061/(asce)0733-9496(2001)127:6(394).

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44

Noman, Nawajish Sayeed, E. James Nelson, and Alan K. Zundel. "Improved Process for Floodplain Delineation from Digital Terrain Models." Journal of Water Resources Planning and Management 129, no. 5 (2003): 427–36. http://dx.doi.org/10.1061/(asce)0733-9496(2003)129:5(427).

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45

Liu, Kevin, and John Sessions. "Preliminary Planning of Road Systems Using Digital Terrain Models." Journal of Forest Engineering 4, no. 2 (1993): 27–32. http://dx.doi.org/10.1080/08435243.1993.10702646.

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46

Devereux, B. J. "The construction of digital terrain models on small computers." Computers & Geosciences 11, no. 6 (1985): 713–24. http://dx.doi.org/10.1016/0098-3004(85)90014-7.

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47

Wimmer, Pfeifer, and Hollaus. "Automatic Detection of Potential Dam Locations in Digital Terrain Models." ISPRS International Journal of Geo-Information 8, no. 4 (2019): 197. http://dx.doi.org/10.3390/ijgi8040197.

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Structural measures for retaining and distributing water—i.e.; reservoirs, flood retentionand power plants—play a key role to protect and feed a growing world population in a rapidlychanging climate. In this work, we introduce an automated method to detect potential reservoir orretention area locations in digital terrain models. In this context, a potential reservoir is a largerterrain form that can be turned into an actual reservoir by constructing a dam. Based on contourlines derived from terrain models, potential reservoirs are found within a predefined range of damlengths, and the locally

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48

Thibault, Bill, and Scot Gresham-Lancaster. "Experiences in Digital Terrain: Using Digital Elevation Models for Music and Interactive Multimedia." Leonardo Music Journal 7 (1997): 11. http://dx.doi.org/10.2307/1513240.

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49

Beumier, Charles, and Mahamadou Idrissa. "Digital terrain models derived from digital surface model uniform regions in urban areas." International Journal of Remote Sensing 37, no. 15 (2016): 3477–93. http://dx.doi.org/10.1080/01431161.2016.1182666.

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50

Chu, Hone-Jay, Yi-Chin Chen, Muhammad Ali, and Bernhard Höfle. "Multi-Parameter Relief Map from High-Resolution DEMs: A Case Study of Mudstone Badland." International Journal of Environmental Research and Public Health 16, no. 7 (2019): 1109. http://dx.doi.org/10.3390/ijerph16071109.

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Topographic parameters of high-resolution digital elevation models (DEMs) with meter to sub-meter spatial resolution, such as slope, curvature, openness, and wetness index, show the spatial properties and surface characterizations of terrains. The multi-parameter relief map, including two-parameter (2P) or three-parameter (3P) information, can visualize the topographic slope and terrain concavities and convexities in the hue, saturation, and value (HSV) color system. Various combinations of the topographic parameters can be used in the relief map, for instance, using wetness index for upstream

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