Relevant bibliographies by topics / Digital terrain model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Digital terrain model'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "Digital terrain model"

1

Hanari, Kubad Zeki. "Transformation of Contour Maps to Digital terrain Model (DTM)." Journal of Zankoy Sulaimani - Part A 3, no. 1 (April 16, 2000): 93–111. http://dx.doi.org/10.17656/jzs.10056.

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Sasik, Robert, Jakub Srek, and Alessandro Valetta. "Digital Terrain Model Geospatial Modelling." IOP Conference Series: Earth and Environmental Science 906, no. 1 (November 1, 2021): 012072. http://dx.doi.org/10.1088/1755-1315/906/1/012072.

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Abstract The modelling means the world object cognition based on the analogy. This analogy presents an idea and material imitation of some properties of the existing world. It is processed by various anthropogenic objects, in which the chosen properties are presented, defined and characterised as shapes and relations of original objects. The simplified objects are created. These objects are specially created only for world study. These types of objects are called models. To edit the digital terrain model correctly, it is necessary to understand the geospatial modelling.
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Klimánek, M. "Optimization of digital terrain model for its application in forestry." Journal of Forest Science 52, No. 5 (January 9, 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 14.02 and TopoL 2001. Algorithm parameters can be optimized in several ways. In this sense a comparison of the first and second derivative of DTM and its real appearance in the terrain and a cross-validation procedure or terrain data measurements to compute and minimize the root mean square error values (RMSE) proved to be the most useful operations. The ZABAGED contour data provided the best results, with software specific algorithms for interpolations of contour data (ArcGIS Desktop Topo to Raster, Idrisi Kilimanjaro TIN).
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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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Necula, Lucian. "Quality Assessment of Digital Terrain Model." Journal of Military Technology 2, no. 2 (December 18, 2019): 47–52. http://dx.doi.org/10.32754/jmt.2019.2.08.

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Neumyvakin, A. Yu, and A. F. Yakovlev. "CONSTRUCTION OF A DIGITAL TERRAIN MODEL." Mapping Sciences and Remote Sensing 23, no. 3 (July 1986): 227–32. http://dx.doi.org/10.1080/07493878.1986.10641631.

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Sitanyiova, Dana, Dasa Bacova, Robert Sasik, and Frantisek Malik. "Quantitative and Qualitative Terrain Analysis Based on Digital Terrain Model." IOP Conference Series: Earth and Environmental Science 906, no. 1 (November 1, 2021): 012075. http://dx.doi.org/10.1088/1755-1315/906/1/012075.

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Abstract Within the Digital Terrain Models (DTM) processing and consequently qualitative and quantitative analysis, it is possible to gain a credible imagination of real terrain shape. In order to obtain an appropriate DTM, it is necessary to decrease the influence of the gross errors that have negative effects on the final DTM. These gross errors may degrade and in the worst case also ruin the calculations and the final outputs. The gross errors have a greater impact and are harder to define in complicated terrain and pointing out these types of errors depends on the editor’s experiences and terrain knowledge.
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Ni, Chun Di, Shen Kui Liu, and Xiao Wei Yin. "The Establishment of the Digital Elevation Model." Applied Mechanics and Materials 380-384 (August 2013): 1567–70. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1567.

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Contour line map and digital terrain model are widely used in practical work. With the rapid development of computer technology, computer graphics and geographic information system, they become more and more practical and their roles have become more prominent. Contour line has incomparable advantage of expressing both qualitative and quantitative information especially in the terrain analysis. Many algorithms of contour line map are automatically generated based on the digital terrain model.
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Sedláček, Jozef, Ondřej Šesták, and Miroslava Sliacka. "Comparison of Digital Elevation Models by Visibility Analysis in Landscape." Acta Horticulturae et Regiotecturae 19, no. 2 (November 1, 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 comparison with LiDAR digital terrain model, ZABAGED model and field survey were 15.5 %, 17.3% and 20.9%, respectively.
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Ketelaar, A. C. R. "Terrain correction for gravity measurements, using a digital terrain model (DTM)." Geoexploration 24, no. 2 (May 1987): 109–24. http://dx.doi.org/10.1016/0016-7142(87)90085-8.

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Dissertations / Theses on the topic "Digital terrain model"

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Terei, Gabor. "A thorough investigation of digital terrain model generalization using adaptive filtering /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193272068463.

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Fabian, Christopher J. "Application of a digital terrain model for forrest land classification and soil survey." Diss., Columbia, Mo. : University of Missouri-Columbia, 2004. http://hdl.handle.net/10355/4107.

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Thesis (M.S.) University of Missouri-Columbia, 2004.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 30, 2006). Vita. Includes bibliographical references.
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Hartshorne, James Byng. "Assessing the influence of digital terrain model characteristics on tropical slope stability analysis." Thesis, University of Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336822.

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Gillin, Cody Palmer. "Digital terrain analysis to predict soil spatial patterns at the Hubbard Brook Experimental Forest." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/50818.

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Topographic analysis using digital elevation models (DEMs) has become commonplace in soil and hydrologic modeling and analysis and there has been considerable assessment of the effects of grid resolution on topographic metrics using DEMs of 10 m resolution or coarser. However, examining fine-scale (i.e., 1-10 m) soil and hydrological variability of headwater catchments may require higher-resolution data that has only recently become available, and both DEM accuracy and the effects of different high-resolution DEMs on topographic metrics are relatively unknown. This study has two principle research components. First, an error analysis of two high-resolution DEMs derived from light detection and ranging (LiDAR) data covering the same headwater catchment was conducted to assess the applicability of such DEMs for modeling fine-scale environmental phenomena. Second, one LiDAR-derived DEM was selected for computing topographic metrics to predict fine-scale functional soil units termed hydropedological units (HPUs). HPU development is related to topographic and surface/subsurface heterogeneity resulting in distinct hydrologic flowpaths leading to variation of soil morphological expression. Although the two LiDAR datasets differed with respect to data collection methods and nominal post-spacing of ground returns, DEMs interpolated from each LiDAR dataset exhibited similar error. Grid resolution affected DEM-delineated catchment boundaries and the value of computed topographic metrics. The best topographic metrics for predicting HPUs were the topographic wetness index, bedrock-weighted upslope accumulated area, and Euclidean distance from bedrock. Predicting the spatial distribution of HPUs may provide a more comprehensive understanding of hydrological and biogeochemical functionality of headwater systems.
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Jordan, Gyözö. "Terrain Modelling with GIS for Tectonic Geomorphology : Numerical Methods and Applications." Doctoral thesis, Uppsala universitet, Miljö- och landskapsdynamik, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4635.

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Analysis of digital elevation models (DEMs) by means of geomorphometry provides means of recognising fractures and characterising the morphotectonics of an area in a quantitative way. The objective of the thesis is to develop numerical methods and a consistent GIS methodology for tectonic geomorphology and apply it to test sites. Based on the study of landforms related to faults, geomorphological characteristics are translated into mathematical and numerical algorithms. The methodology is based on general geomorphometry. In this study, the basic geometric attributes (elevation, slope, aspect and curvatures) are complemented with the automatic extraction of ridge and valley lines and surface specific points. Evan’s univariate and bivariate methodology of general geomorphometry is extended with texture (spatial) analysis methods such as trend, autocorrelation, spectral, wavelet and network analysis. Digital terrain modelling is carried out by means of (1) general geomorphometry, (2) digital drainage network analysis, (3) digital image processing, (4) lineament extraction and analysis, (5) spatial and statistical analysis and (6) DEM specific digital methods such as shaded relief models, digital cross-sections and 3D surface modelling. Geological data of various sources and scales are integrated in a GIS database. Interpretation of multi-source information confirmed the findings of digital morphotectonic investigation. A simple shear model with principal displacement zone in the NE-SW direction can explain most of the morphotectonic features associated with structures identified by geological and digital morphotectonic investigations in the Kali Basin. Comparison of the results of the DTA with the known geology from NW Greece indicated that the major faults correspond to clear lineaments. Thus, DTA of an area in the proposed way forms a useful tool to identify major and minor structures covering large areas. In this thesis, numerical methods for drainage network extraction and aspect analysis have been developed and applied to tectonic geomorphology.
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Höfler, Veit, Christine Wessollek, and Pierre Karrasch. "Modelling prehistoric terrain Models using LiDAR-data: A geomorphological approach." SPIE, 2015. https://tud.qucosa.de/id/qucosa%3A35056.

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Terrain surfaces conserve human activities in terms of textures and structures. With reference to archaeological questions, the geological archive is investigated by means of models regarding anthropogenic traces. In doing so, the high-resolution digital terrain model is of inestimable value for the decoding of the archive. The evaluation of these terrain models and the reconstruction of historical surfaces is still a challenging issue. Due to the data collection by means of LiDAR systems (light detection and ranging) and despite their subsequent pre-processing and filtering, recently anthropogenic artefacts are still present in the digital terrain model. Analysis have shown that elements, such as contour lines and channels, can well be extracted from a highresolution digital terrain model. This way, channels in settlement areas show a clear anthropogenic character. This fact can also be observed for contour lines. Some contour lines representing a possibly natural ground surface and avoid anthropogenic artefacts. Comparable to channels, noticeable patterns of contour lines become visible in areas with anthropogenic artefacts. The presented work ow uses functionalities of ArcGIS and the programming language R.¹ The method starts with the extraction of contour lines from the digital terrain model. Through macroscopic analyses based on geomorphological expert knowledge, contour lines are selected representing the natural geomorphological character of the surface. In a first step, points are determined along each contour line in regular intervals. This points and the corresponding height information which is taken from an original digital terrain model is saved as a point cloud. Using the programme library gstat, a variographic analysis and the use of a Kriging-procedure based on this follow. The result is a digital terrain model filtered considering geomorphological expert knowledge showing no human degradation in terms of artefacts, preserving the landscape-genetic character and can be called a prehistoric terrain model.
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Heliani, Leni Sophia. "Determination of the Indonesian gravity fields from combination of surface gravity, satellite altimeter and digital terrain model data." 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/149084.

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McKeon, Sean Patrick. "A GPU Stream Computing Approach to Terrain Database Integrity Monitoring." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_theses/65.

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Synthetic Vision Systems (SVS) provide an aircraft pilot with a virtual 3-D image of surrounding terrain which is generated from a digital elevation model stored in an onboard database. SVS improves the pilot's situational awareness at night and in inclement weather, thus reducing the chance of accidents such as controlled flight into terrain. A terrain database integrity monitor is needed to verify the accuracy of the displayed image due to potential database and navigational system errors. Previous research has used existing aircraft sensors to compare the real terrain position with the predicted position. We propose an improvement to one of these models by leveraging the stream computing capabilities of commercial graphics hardware. "Brook for GPUs," a system for implementing stream computing applications on programmable graphics processors, is used to execute a streaming ray-casting algorithm that correctly simulates the beam characteristics of a radar altimeter during all phases of flight.
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Pegler, Kevin Huntly. "An examination of alternative compensation methods for the removal of the rid[g]ing effect from digital terrain model data files." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0020/MQ54638.pdf.

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Sardeiro, Simone Soraia Silva. "Modelagem digital de terreno do município de Graccho Cardoso, nordeste de Sergipe." Universidade Federal de Sergipe, 2016. https://ri.ufs.br/handle/riufs/5412.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
In the Geographic Information Systems platform, Digital Terrain Model (DTM) is a mathematical way, to show a natural feature that occurs in the Earth's surface. The purpose of this dissertation was to build a digital terrain model for the municipality of Graccho Cardoso, approximate scale 1:65.000, and analyze their products (contour map, slope map, shading map, and geological and geomorphological maps superimposed on the digital terrain model). The city of Graccho Cardoso is located in the north of the state of Sergipe, at about 120 km away from Aracaju. The study area was selected to present geomorphological and geological diversity and have Satellite Images (SRTM) with good resolution for the selected working range. Graccho Cardoso occurs in quotas ranging between 140 m and 280 m above sea level, where the predominant pattern dendritic drainage. Since its relief is under the process planing and pediplanation. Its steepness varies from 0% to over 75%. Where there is a predominance with the angle of inclination between 3 and 45%. It has been more remarkable shading which fit fluvial channels, showing that the notching index or grain dissection is more pronounced. It has two types of morphostructures: Remnants Fold Roots (Sergipano Orogenic System – Proterozoic) and Sedimentary Basins and Covers (Superficial Formations – Fanerozoic). The results obtained by integration of the various maps shows up very similar to many traditional data mapping surveys.
No ambiente dos Sistemas de Informações Geográficas, o Modelo Digital de Terreno (MDT) representa, de maneira matemática, uma feição natural que ocorre na superfície terrestre. A proposta dessa dissertação foi confeccionar um modelo digital de terreno para o município de Graccho Cardoso, na escala aproximada de 1:65.000, e analisar os seus produtos (mapa de curva de nível, mapa de declividade, modelo sombreado, mapa geomorfológico e mapa geológico sobrepostos ao modelo digital de terreno). O município de Graccho Cardoso está localizado na região norte do Estado de Sergipe, a cerca de 120 km de distância de Aracaju. A área de estudo foi selecionada por apresentar diversidade geomorfológica e geológica e, dispor de Imagens de Satélite (SRTM) com boa resolução para a escala de trabalho escolhida. A região de Graccho Cardoso ocorre em cotas variando entre de 140 m e 280 m de altitude, onde predomina o padrão de drenagem dendrítico. O seu relevo está sob o processo de aplainamento e pediplanação. Sua declividade varia entre 0 % a mais de 75 %. Onde existe um predomínio ondulado, o ângulo de inclinação varia entre 3 a 45%. Tem-se um sombreado mais marcante onde se encaixam os canais fluviais, mostrando que o índice de entalhamento, ou grau de dissecação, é mais acentuado. Possui dois tipos de morfoestruturas: Remanescentes de Raízes de Dobramentos (Sistema Orogênico Sergipano do Proterozóico) e, Bacias e Coberturas Sedimentares (Formações Superficiais do Fanerozóico). Os resultados obtidos pela integração dos diversos mapas mostram-se muitos similares com os dados tradicionais de levantamentos cartográficos.
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Books on the topic "Digital terrain model"

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Twito, Roger H. The MAP program: Building the digital terrain model. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.

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Twito, Roger H. The MAP program: Building the digital terrain model. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.

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Twito, Roger H. The MAP program: Building the digital terrain model. [Portland Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.

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Campbell, Russell H. Geographic information system (GIS) procedure for preliminary delineation of debris-flow hazard areas from a digital terrain model, Madison County, Virginia. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Dadi, Gabriel B., Hala Nassereddine, Rachel Catchings, Makram Bou Hatoum, and Melanie Piskernik. Practices for Construction-Ready Digital Terrain Models. Washington, D.C.: Transportation Research Board, 2021. http://dx.doi.org/10.17226/26085.

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Niemann, K. O. Slope stability evaluations using digital terrain models. Victoria, B.C: BC Ministry of Forests, 1992.

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McGaughey, Robert J. VISUAL and SLOPE: Perspective and quantitative representation of digital terrain models. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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McGaughey, Robert J. VISUAL and SLOPE: Perspective and quantitative representation of digital terrain models. [Portland Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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McGaughey, Robert J. VISUAL and SLOPE: Perspective and quantitative representation of digital terrain models. [Portland, Or.]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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Mackay, David Scott. Knowledge based classification of higher order terrain objects on digital elevation models. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Book chapters on the topic "Digital terrain model"

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Colgan, Anja, and Ralf Ludwig. "Digital Terrain Model." In Regional Assessment of Global Change Impacts, 69–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16751-0_7.

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Floriani, Leila, and Paola Magillo. "Computing visibility maps on a digital terrain model." In Lecture Notes in Computer Science, 248–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57207-4_17.

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Pfeifer, Norbert, and Gottfried Mandlburger. "LiDAR Data Filtering and Digital Terrain Model Generation." In Topographic Laser Ranging and Scanning, 349–78. Second edition. | Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781315154381-11.

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Ma, Zhiqiang, Anthony Watson, and Wanwu Guo. "Application of MCDF Operations in Digital Terrain Model Processing." In Computational Science and Its Applications – ICCSA 2004, 471–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24768-5_50.

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Emmendorfer, Leonardo Ramos, Isadora Bicho Emmendorfer, Luis Pedro Melo de Almeida, Deivid Cristian Leal Alves, and Jorge Arigony Neto. "A Self-interpolation Method for Digital Terrain Model Generation." In Computational Science and Its Applications – ICCSA 2021, 352–63. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86653-2_26.

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Maleika, Wojciech, and Paweł Forczmański. "Lossless Compression Method for Digital Terrain Model of Seabed Shape." In Advances in Intelligent Systems and Computing, 154–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47274-4_18.

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Durand, Philippe, Luan Jaupi, and Dariush Ghorbanzadeh. "Construction of Radar SAR Images from Digital Terrain Model and Geometric Corrections." In Transactions on Engineering Technologies, 657–68. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9804-4_46.

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Ozyurt, Murat, Tuna Tugcu, and Fatih Alagoz. "Digital Terrain Model Interpolation for Mobile Devices Using DTED Level 0 Elevation Data." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 208–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01802-2_16.

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Rajabi, Mohammad A., and J. A. Rod Blais. "Improvement of Digital Terrain Model Interpolation Using SFS Techniques with Single Satellite Imagery." In Lecture Notes in Computer Science, 164–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47789-6_17.

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Al Balasmeh, Odai Ibrahim Mohammed, and Tapas Karmaker. "Accuracy Assessment of the Digital Elevation Model, Digital Terrain Model (DTM) from Aerial Stereo Pairs and Contour Maps for Hydrological Parameters." In Lecture Notes in Civil Engineering, 461–70. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7067-0_35.

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Conference papers on the topic "Digital terrain model"

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Gheshlaghi, Fatemeh, Zeinab El-Sayegh, Moustafa El-Gindy, Fredrik Oijer, and Inge Johansson. "Advanced Analytical Truck Tires-Terrain Interaction Model." In SAE WCX Digital Summit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-01-0329.

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Danciu, Valentin. "FUZZY FUNCTIONS FOR DIGITAL TERRAIN MODEL." In 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b22/s9.033.

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Ruzickova, Katerina. "DIGITAL TERRAIN MODEL AND LANDFORMS CLASSIFICATION." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s08.013.

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Nar, Fatih, Erdal Yilmaz, and Gustau Camps-Valls. "Sparsity-Driven Digital Terrain Model Extraction." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517569.

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Cohen, L. D., E. Bardinet, and Nicholas Ayache. "Reconstruction of digital terrain model with a lake." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Baba C. Vemuri. SPIE, 1993. http://dx.doi.org/10.1117/12.146644.

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Zang, Andi, Xin Chen, and Goce Trajcevski. "Digital Terrain Model Generation using LiDAR Ground Points." In SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2835022.2835024.

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Dongiovanni, M., G. Lorusso, F. Intini, G. Nacci, and E. Celiberti. "FOREST FIRE LOCALIZATION WITHOUT USING DIGITAL TERRAIN MODEL." In Proceedings of the 10th Italian Conference. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812833532_0103.

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Knyaz, Vladimir A. "Deep learning performance for digital terrain model generation." In Image and Signal Processing for Remote Sensing, edited by Lorenzo Bruzzone, Francesca Bovolo, and Jon Atli Benediktsson. SPIE, 2018. http://dx.doi.org/10.1117/12.2325768.

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Park, James, Joel T. Johnson, Kung-Hau Ding, Kristopher Kim, and Joseph Tenbarge. "Terrain clutter simulation using physics-based scattering model and digital terrain profile data." In SPIE Defense + Security, edited by Kenneth I. Ranney, Armin Doerry, G. Charmaine Gilbreath, and Chadwick Todd Hawley. SPIE, 2015. http://dx.doi.org/10.1117/12.2176974.

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Zhu, Qiang, Min Sun, Xiuwan Chen, Zimin Zhang, Xi Mao, and Yun Wen. "Rainfall Runoff Simulation Based on Dynamic Digital Terrain Model." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5163278.

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Reports on the topic "Digital terrain model"

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Twito, R. H., R. W. Mifflin, and R. J. McGaughey. The MAP program: building the digital terrain model. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1987. http://dx.doi.org/10.2737/pnw-gtr-200.

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Graff, Linda H. An Approach to Automated Terrain Classification from Digital Elevation Model. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada258210.

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Blundell, S. Micro-terrain and canopy feature extraction by breakline and differencing analysis of gridded elevation models : identifying terrain model discontinuities with application to off-road mobility modeling. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40185.

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Elevation models derived from high-resolution airborne lidar scanners provide an added dimension for identification and extraction of micro-terrain features characterized by topographic discontinuities or breaklines. Gridded digital surface models created from first-return lidar pulses are often combined with lidar-derived bare-earth models to extract vegetation features by model differencing. However, vegetative canopy can also be extracted from the digital surface model alone through breakline analysis by taking advantage of the fine-scale changes in slope that are detectable in high-resolution elevation models of canopy. The identification and mapping of canopy cover and micro-terrain features in areas of sparse vegetation is demonstrated with an elevation model for a region of western Montana, using algorithms for breaklines, elevation differencing, slope, terrain ruggedness, and breakline gradient direction. These algorithms were created at the U.S. Army Engineer Research Center – Geospatial Research Laboratory (ERDC-GRL) and can be accessed through an in-house tool constructed in the ENVI/IDL environment. After breakline processing, products from these algorithms are brought into a Geographic Information System as analytical layers and applied to a mobility routing model, demonstrating the effect of breaklines as obstacles in the calculation of optimal, off-road routes. Elevation model breakline analysis can serve as significant added value to micro-terrain feature and canopy mapping, obstacle identification, and route planning.
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SELLMEIER, Bettina, and Kurosch THURO. Possibilities and limitations of 2D and 3D rockfallsimulations concerning the Digital Terrain Model (DTM). Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0255.

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Blundell, S. Tutorial : the DEM Breakline and Differencing Analysis Tool—step-by-step workflows and procedures for effective gridded DEM analysis. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46085.

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The DEM Breakline and Differencing Analysis Tool is the result of a multi-year research effort in the analysis of digital elevation models (DEMs) and the extraction of features associated with breaklines identified on the DEM by numerical analysis. Developed in the ENVI/IDL image processing application, the tool is designed to serve as an aid to research in the investigation of DEMs by taking advantage of local variation in the height. A set of specific workflow exercises is described as applied to a diverse set of four sample DEMs. These workflows instruct the user in applying the tool to extract and analyze features associated with terrain, vegetative canopy, and built structures. Optimal processing parameter choices, subject to user modification, are provided along with sufficient explanation to train the user in elevation model analysis through the creation of customized output overlays.
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Reynolds, Stephen C., and Richard L. Taylor. Digital Terrain Data in Support of Land Combat Models. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada200653.

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Sinclair, Samantha, and Sally Shoop. Automated detection of austere entry landing zones : a “GRAIL Tools” validation assessment. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45265.

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The Geospatial Remote Assessment for Ingress Locations (GRAIL) Tools software is a geospatial product developed to locate austere entry landing zones (LZs) for military aircraft. Using spatial datasets like land classification and slope, along with predefined LZ geometry specifications, GRAIL Tools generates binary suitability filters that distinguish between suitable and unsuitable terrain. GRAIL Tools combines input suitability filters, searches for LZs at user‐defined orientations, and plots results. To refine GRAIL Tools, we: (a) verified software output; (b) conducted validation assessments using five unpaved LZ sites; and (c) assessed input dataset resolution on outcomes using 30 and 1‐m datasets. The software was verified and validated in California and the Baltics, and all five LZs were correctly identified in either the 30 or the 1‐m data. The 30‐m data provided numerous LZs for consideration, while the 1‐m data highlighted hazardous conditions undetected in the 30‐m data. Digital elevation model grid size affected results, as 1‐m data produced overestimated slope values. Resampling the data to 5 m resulted in more realistic slopes. Results indicate GRAIL Tools is an asset the military can use to rapidly assess terrain conditions.
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Graff, Linda H. Automated Classification of Basic-Level Terrain Features in Digital Elevation Models. Fort Belvoir, VA: Defense Technical Information Center, August 1992. http://dx.doi.org/10.21236/ada256932.

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McGaughey, R. J., and R. H. Twito. VISUAL and SLOPE: perspective and quantitative representation of digital terrain models. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1988. http://dx.doi.org/10.2737/pnw-gtr-214.

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Schwartz, P. M., D. A. Levine, C. T. Hunsaker, and S. P. Timmins. TERRAIN: A computer program to process digital elevation models for modeling surface flow. Office of Scientific and Technical Information (OSTI), August 1995. http://dx.doi.org/10.2172/113933.

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