Relevant bibliographies by topics / Digital terrain modeling

Contents

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

Academic literature on the topic 'Digital terrain modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Digital terrain modeling"

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Wilson, John P. "Digital terrain modeling." Geomorphology 137, no. 1 (January 2012): 107–21. http://dx.doi.org/10.1016/j.geomorph.2011.03.012.

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Necula, Lucian. "Digital Terrain Modeling Using SPOT Imagery." Journal of Military Technology 2, no. 2 (December 18, 2019): 53–58. http://dx.doi.org/10.32754/jmt.2019.2.09.

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Galin, Eric, Eric Guérin, Adrien Peytavie, Guillaume Cordonnier, Marie‐Paule Cani, Bedrich Benes, and James Gain. "A Review of Digital Terrain Modeling." Computer Graphics Forum 38, no. 2 (May 2019): 553–77. http://dx.doi.org/10.1111/cgf.13657.

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Krishna Prasad, V. "Digital Terrain Modeling: Principles and Methodology." Photogrammetric Record 24, no. 127 (September 2009): 296–97. http://dx.doi.org/10.1111/j.1477-9730.2009.00545_2.x.

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Florinsky, I. V., and A. N. Pankratov. "Digital terrain modeling with orthogonal polynomials." Machine Learning and Data Analysis 1, no. 12 (2015): 1647. http://dx.doi.org/10.21469/22233792.1.12.01.

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Voina, Ioan, Maricel Palamariu, Iohan Neuner, Tudor Salagean, Dumitru Onose, Mircea Ortelecan, Anca Maria Moscovici, and Mariana Calin. "Digital Modeling Phenomenon Of Surface Ground Movement." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture 73, no. 2 (November 30, 2016): 342. http://dx.doi.org/10.15835/buasvmcn-hort:12363.

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With the development of specialized software applications it was possible to approach and resolve complex problems concerning automating and process optimization for which are being used field data. Computerized representation of the shape and dimensions of the Earth requires a detailed mathematical modeling, known as "digital terrain model". The paper aims to present the digital terrain model of Vulcan mining, Hunedoara County, Romania. Modeling consists of a set of mathematical equations that define in detail the surface of Earth and has an approximate surface rigorously and mathematical, that calculated the land area. Therefore, the digital terrain model means a digital representation of the earth's surface through a mathematical model that approximates the land surface modeling, which can be used in various civil and industrial applications in. To achieve the digital terrain model of data recorded using linear and nonlinear interpolation method based on point survey which highlights the natural surface studied. Given the complexity of this work it is absolutely necessary to know in detail of all topographic elements of work area, without the actions to be undertaken to project and manipulate would not be possible. To achieve digital terrain model, within a specialized software were set appropriate parameters required to achieve this case study. After performing all steps we obtained digital terrain model of Vulcan Mine. Digital terrain model is the complex product, which has characteristics that are equivalent to the specialists that use satellite images and information stored in a digital model, this is easier to use.
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Yelizavetin, I. V. "DIGITAL TERRAIN MODELING FROM RADAR IMAGE STEREOPAIRS." Mapping Sciences and Remote Sensing 30, no. 2 (April 1993): 151–60. http://dx.doi.org/10.1080/07493878.1993.10641929.

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Davis, Frank W., and Scott Goetz. "Modeling vegetation pattern using digital terrain data." Landscape Ecology 4, no. 1 (March 1990): 69–80. http://dx.doi.org/10.1007/bf02573952.

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Sofia, Giulia, Anette Eltner, Efthymios Nikolopoulos, and Christopher Crosby. "Leading Progress in Digital Terrain Analysis and Modeling." ISPRS International Journal of Geo-Information 8, no. 9 (August 27, 2019): 372. http://dx.doi.org/10.3390/ijgi8090372.

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Digital Terrain analysis (DTA) and modeling has been a flourishing interdisciplinary field for decades, with applications in hydrology, geomorphology, soil science, engineering projects and computer sciences. Currently, DTA is characterized by a proliferation of multispectral data from new sensors and platforms, driven by regional and national governments, commercial businesses, and scientific groups, with a general trend towards data with higher spatial, spectral or temporal resolutions. Deriving meaningful and interpretable products from such a large pool of data sources sets new challenges. The articles included in this special issue (SI) focuses on terrain analysis applications that advance the fields of hydrology, geomorphology, soil science, geographic information software (GIS), and computer science. They showcase challenging examples of DTA tackling different subjects or different point of views on the same subject.
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Silva, Francisco, Gustavo Scandolieri, Danillo Pereira, Leandro Almeida, Helton Sapia, and João Silva. "DIGITAL TERRAIN MODELING USING FINITE ELEMENT METHODS MESHLESS." Journal of Urban and Environmental Engineering 12, no. 2 (December 31, 2018): 163–71. http://dx.doi.org/10.4090/juee.2018.v12n2.163171.

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Dissertations / Theses on the topic "Digital terrain modeling"

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Khakimbayev, Jasur S. "Development of integrated 3D terrain maps for Unmanned Aerial Vehicle (UAV) Flight and Mission Control Support System (FMCSS)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FKhakimbayev.pdf.

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Thesis (M.S. in Modeling, Virtual Environments, and Simulation (Moves))--Naval Postgraduate School, March 2006.
Thesis Advisor(s): Wolfgang Baer, Curtis L. Blais. "March 2006." Includes bibliographical references (p.99-101). Also available online.
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Tesfa, Teklu K. "Distributed Hydrological Modeling Using Soil Depth Estimated from Landscape Variable Derived with Enhanced Terrain Analysis." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/616.

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The spatial patterns of land surface and subsurface characteristics determine the spatial heterogeneity of hydrological processes. Soil depth is one of these characteristics and an important input parameter required by distributed hydrological models that explicitly represent spatial heterogeneity. Soil is related to topography and land cover due to the role played by topography and vegetation in affecting soil-forming processes. The research described in this dissertation addressed the development of statistical models that predict the soil depth pattern over the landscape; derivation of new topographic variables evaluated using both serial and parallel algorithms; and evaluation of the impacts of detailed soil depth representation on simulations of stream flow and soil moisture. The dissertation is comprised of three papers. In paper 1, statistical models were developed to predict soil depth pattern over the watershed based on topographic and land cover variables. Soil depth was surveyed at locations selected to represent the topographic and land cover variation at the Dry Creek Experimental Watershed, near Boise, Idaho. Explanatory variables were derived from a digital elevation model and remote sensing imagery for regression to the field data. Generalized Additive and Random Forests models were developed to predict soil depth over the watershed. The models were able to explain about 50% of the soil depth spatial variation, which is an important improvement over the soil depth extracted from the SSURGO national soil database. In paper 2, definitions of the new topographic variables derived in the effort to model soil depth, and serial and Message Passing Interface parallel implementations of the algorithms for their evaluation are presented. The parallel algorithms enhanced the processing speed of large digital elevation models as compared to the serial recursive algorithms initially developed. In paper 3, the impact of spatially explicit soil depth information on simulations of stream flow and soil moisture as compared to soil depth derived from the SSURGO soil database has been evaluated. The Distributed Hydrology Vegetation Soil Model was applied using automated parameter optimization technique with all input parameters the same except soil depth. Stream flow was less impacted by the detailed soil depth information, while simulation of soil moisture was slightly improved due to the detailed representation of soil depth.
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Balzani, Marco. "Immagini DTM e loro applicazione." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15633/.

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Analisi generale della struttura e realizzazione dei file DTM, del campionamento dei dati atti alla realizzazione dei modelli digitali del terreno e panoramica sull'applicazione dei DTM nelle varie discipline.
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Burgholzer, Robert William. "Using Accumulation Based Network Identification Methods to Identify Hill Slope Scale Drainage Networks in a Raster GIS." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/32001.

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The simple accumulation-based network identification method (ANIM) in a raster Geographic Information System (GIS) posed by Oâ Callaghan and Mark (1984) has been criticized for producing a spatially uniform drainage density (Tarboton 2002) at the watershed scale. This criticism casts doubt on the use of ANIMs for deriving properties such as overland flow length for nonpoint source pollution models, without calibrating the accumulation threshold value. However, the basic assumption that underlies ANIMs is that convergent topography will yield a more rapid accumulation of cells, and thus, more extensive flow networks, with divergent, or planar terrain yielding sparser networks. Previous studies have focused on networks that are coarser than the hill-slope scale, and have relied upon visual inspection of drainage networks to suggest that ANIMs lack the ability to produce diverse networks. In this study overland flow lengths were calculated on a sub-watershed basis, with standard deviation, and range calculated for sub-watershed populations as a means of quantifying the diversity of overland flow lengths produced by ANIM at the hill slope scale. Linear regression and Spearman ranking analyses were used to determine if the methods represented trends in overland flow length as suggested by manual delineation of contour lines. Three ANIMs were analyzed: the flow accumulation method (Oâ Callaghan and Mark, 1984), the terrain curvature method (Tarboton, 2000) and the ridge accumulation method (introduced in this study). All three methods were shown to produce non-zero standard deviations and ranges using a single support area threshold, with the terrain curvature method producing the most diverse networks, followed by the ridge accumulation method, and then the flow accumulation method. At an analysis unit size of 20 ha, the terrain curvature method produced a standard deviation that was most similar to those suggested by the contour crenulations, -13.5%, followed by the ridge accumulation method, -21.5%, and the flow accumulation method, -61.6%. The ridge accumulation produced the most similar range, -19.1%, followed by terrain curvature, -24.9%, and flow accumulation, -65.4%. While the flow accumulation networks had a much narrower range of predicted flow lengths, it had the highest Spearman ranking coefficient, Rs=0.722, and linear regression coefficient, R2=0.602. The terrain curvature method was second, Rs=0.641, R2=0.469, and then ridge accumulation, Rs=0.602, R2=0.490. For all methods, as threshold values were varied, areas of dissimilar morphology (as evidenced by the common stream metric stream frequency) experienced changes in overland flow lengths at different rates. This results in an inconsistency in ranking of sub-watersheds at different thresholds. When thresholds were varied to produce average overland flow lengths from 75 m to 150 m, the terrain curvature method showed the lowest incidence of rank change, 16.05%, followed by the ridge accumulation method, 16.73%, then flow accumulation, 25.18%. The results of this investigation suggest that for all three methods, a causal relationship exists between threshold area, underlying morphology, and predicted overland flow length. This causal relationship enables ANIMs to represent contour network trends in overland flow length with a single threshold value, but also results in the introduction of rank change error as threshold values are varied. Calibration of threshold value (varying threshold in order to better match observed overland flow lengths) is an effective means of increasing the accuracy of ANIM predictions, and may be necessary when comparing areas with different stream frequencies. It was shown that the flow accumulation method produces less diverse networks than the terrain curvature and ridge accumulation methods. However, the results of rank and regression analyses suggest that further investigation is required to determine if these more diverse ANIM are in fact more accurate than the flow accumulation method.
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Sun, Hua. "Digital terrain modelling of catchment erosion and sedimentation /." Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phs9565.pdf.

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Quinn, Paul F. "The role of digital terrain analysis in hydrological modelling." Thesis, Lancaster University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.331974.

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Li, Zhilin. "Sampling strategy and accuracy assessment for digital terrain modelling." Thesis, University of Glasgow, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303330.

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Servadio, Zarah. "Apports de l’imagerie à haute résolution spectrale et spatiale dans les bilans de volume et bilans radiatifs au Piton de La Fournaise." Thesis, La Réunion, 2011. http://www.theses.fr/2011LARE0020/document.

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La télédétection ouvre des perspectives nouvelles pour l’étude et la surveillance des volcans. Dans le cadre de cette thèse, différentes approches ont été abordées. L’imagerie satellite optique et thermique permet d’avoir une vue synoptique sur une large surface. La compréhension des changements d’état de surface est particulièrement importante dans le suivi de l’activité des volcans actifs. Plusieurs questions se posent : • Quels avantages offrent les satellites optiques d’observation de la Terre pour les calculs des volumes de lave émis ? • Quelles sont leurs limites ? • Les calculs de débits réalisés par télédétection sont-ils fiables ? • Quel est l’intérêt d’une approche multi-outils et multi-source ? Ces questions ont été abordées en prenant le Piton de la Fournaise pour cible. Plusieurs méthodes ont été mises en oeuvre et testées : 1) L’extraction automatique des contours de coulées de lave, 2) la création de modèle numérique d’élévation (MNE) par imagerie satellite, 3) le calcul de débits à partir d’images thermiques, 4) le suivi post éruptif d’une coulée par la modélisation de son refroidissement et la mesure des déformations observées in-situ. La plus-value de ce travail est la capacité de valider les résultats des modèles issus de la télédétection par des mesures in situ du fait de la proximité des sites étudiés. L’utilisation de ces techniques a permis d’obtenir des débits moyens d’écoulement des laves pour plusieurs éruptions et de suivre l’évolution topographique du volcan et de ses grandes structures. Les mesures thermiques par satellite fournissent le moyen de contraindre les variations du débit des éruptions dans le temps, tandis que les MNE ont permis d’obtenir un volume total dans le cas de coulées présentant de fortes épaisseurs. Grâce à ces techniques, il a été possible de définir deux types d’éruptions avec des évolutions semblables à celles observées sur différents volcans comme l’Etna (Italie) ou le Krafla (Islande). Les problèmes de nébulosité étant récurrent sur notre zone d’étude, la complémentarité des techniques est particulièrement intéressante pour obtenir une information fiable. Toutes les techniques utilisées dans cette thèse sont applicables à d’autres volcans ou à d’autres thématiques
Remote sensing opens new perspectives for the study and monotoring of volcanoes. In this thesis, different approaches were discussed. optical and thermal satellite imagery provides a synoptic view over a wide area. The understanding of surface state changes is particulary important in the monotoring of the activity of active volcanoes. Several, questions arise: • What advantages offer optical observation satellites of the Earth for calculations of lava volumes issues? • What are their limits? • Calculations of flow by remote sensing are reliable? • What is the interest of a multi-tool and multi-source approach? These issues were addressed by taking the Piton de la Fournaise to target. Several methods have been implemented and tested: 1) automatic extraction of the contours of flows of lava, 2) the cretion of numerical model of elevation (DEM) imaging satellite, 3) the calculation of flows from thermal images, 4) follow-up post eruptive flow modelling of cooling and the observed deformations in-situ measurement. The added value of this work is the ability to validate the results of remote sensing measurements from models because of the proximity of the sites studied in situ. The use of these techniques to obtain the average flow rates of lavas to several eruptions and follow topographic evolution of the volcano and its large structures. Satellite thermal measurements provide the means of forcing changes in the flow of eruptions over time, while Dems helped to obtain a total volume in the case of flows with high thicknesses. With these techniques, it was possible to define two types of erutions with changes similar to those observed on different volcanoes
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Lopes, Paulo Maurício Silva. "Estudo dos atributos do meio físico como base para o zoneamento geoambiental das bacias do rio Passa Cinco e rio da Cabeça: escala 1:50.000." Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/18/18132/tde-19102018-200138/.

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O presente trabalho consistiu no estudo de uma série de atributos do meio físico, como geologia, pedologia, materiais inconsolidados, declividade e menor extensão do percurso da água superficial, entre outros, representados na escala 1:50.000 referentes às bacias hidrográficas dos rios Passa Cinco e Cabeça. Tais atributos foram avaliados, considerando as restrições e potencialidades do meio, buscando uma melhor elaboração das propostas e procedimentos adotados na manutenção da qualidade do meio físico. Para a realização deste estudo, foram utilizados trabalhos já desenvolvidos na área, assim como novos mapas e cartas elaborados durante este, seguindo-se os conceitos da cartografia geoambiental, voltados ao planejamento, proteção e recuperação territorial. Para agilizar os trabalhos de manipulação (armazenamento, recuperação, tratamento, cruzamento e apresentação), foi utilizado um Sistema de Informação Geográfica (SIG-IDRISI), principalmente para obtenção das cartas de Susceptibilidade à Erosão, Potencial à Infiltração e Potencial Agrícola. O resultado final permitiu a obtenção da Carta de Comportamento do Meio Físico como Base para o Zoneamento Geoambiental, onde estão presentes as aptidões, restrições e conflitos de uso, considerando-se neste caso todos os atributos já comentados anteriormente.
Many attributes of the Passa Cinco and Cabeça river hydrographic basins, related to geology, pedology, unconsolidated materials, slope and least water runoff distance, at a 1:50,000 scale, were evaluated. Such attributes based on adequated proposal and procedures were assessed in terms of constraints to determine the basin potentialities. Geoenvironmental cartographic concepts related to planning, protection and management, have been applied in the develop of the charts and maps presented in this works, which, in turn, were base on the extensive research already done in this area. The GIS IDRISI was used to handle data (storing, retrieving, treatment, overlaying and presentation), mainly to elaborate the charts of Erosion Susceptibility, Water lnfiltration Potential and Agricultural Potential. As final result, this work presents an analysis of the environmental attributes to orientate the geoenvironmental zoning, considering all the aspects mentioned above.
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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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Books on the topic "Digital terrain modeling"

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Wilson, John P. Environmental Applications of Digital Terrain Modeling. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118938188.

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Digital terrain modeling: Acquisition, manipulation, and applications. Boston, MA: Artech House, 2004.

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Odom, Richard H. Using digital terrain modeling to predict ecological types in the Balsam Mountains of western North Carolina. Asheville, N.C: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 2000.

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Peckham, Robert Joseph, and Gyozo Jordan, eds. Digital Terrain Modelling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-36731-4.

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Zink, David M. Accuracy assessment of interpolation procedures for digital terrain modelling. Waterloo, Ont: Institute for Space and Terrestrial Science, Earth Observations Laboratory and the Dept. of Geography, University of Waterloo, 1991.

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Denmark), International Colloquium Progress in Terrain Modelling (1987 Technical University of. Proceedings of the International Colloquium Progress in Terrain Modelling: Technical University of Denmark, 20-22 May 1987. [Denmark?]: International Society for Photogrammetry and Remote Sensing, 1987.

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India) "Remote Sensing and GIS in Digital Terrain Analysis and Soil-Landscape Modelling" (Winter School) (2011 Nāgpur. Remote sensing and GIS in digital terrain analysis and soil-landscape modelling: Proceedings of winter school organized from 6th to 26th September 2011. Edited by Obi Reddy, G. P., editor, Sarkar D. (Dipak) editor, and Indian Council of Agricultural Research. National Bureau of Soil Survey and Land Use Planning. Nagpur, Maharashtra, India: National Bureau of Soil Survey and Land Use Planning, Indian Council of Agricultural Research, 2012.

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Environmental Applications of Digital Terrain Modeling. Wiley-Blackwell, 2018.

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P, Wilson John. Environmental Applications of Digital Terrain Modeling. Wiley & Sons, Incorporated, John, 2018.

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P, Wilson John. Environmental Applications of Digital Terrain Modeling. Wiley & Sons, Incorporated, John, 2018.

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Book chapters on the topic "Digital terrain modeling"

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Quincey, Duncan J., Michael P. Bishop, Andreas Kääb, Etienne Berthier, Boris Flach, Tobias Bolch, Manfred Buchroithner, et al. "Digital Terrain Modeling and Glacier Topographic Characterization." In Global Land Ice Measurements from Space, 113–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-540-79818-7_5.

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Reddy, G. P. Obi. "Remote Sensing and GIS in Digital Terrain Modeling." In Geotechnologies and the Environment, 201–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78711-4_11.

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Lester, Benjamin, Rob Larson, Isaac Dosch, Graeme Fowler, and Robert Rauschenberger. "Perception of Terrain Slope in Real and Virtual Environments." In Advances in Simulation and Digital Human Modeling, 197–203. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51064-0_26.

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Hammes, Johan. "Modeling of Ecosystems as a Data Source for Real-Time Terrain Rendering." In Digital Earth Moving, 98–111. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44818-7_14.

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Casagrande, Pedro, Nicole Rocha, Ítalo Sena, Bráulio Fonseca, and Ana Clara Moura. "Geological Heritage and Conservation: A Case Study of the Visual Axis Through Digital Terrain Modeling." In Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection, 63–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48974-2_8.

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Sole, A., and A. Valanzano. "Digital Terrain Modelling." In Geographical Information Systems in Hydrology, 175–94. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8745-7_7.

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Favorskaya, Margarita N., and Lakhmi C. Jain. "Digital Modelling of Terrain Surface." In Intelligent Systems Reference Library, 205–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52308-8_7.

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Delgado, J., J. Cardenal, J. E. Caracuel, and A. Gómez. "Digital Terrain Modelling with Geostatistics." In Quantitative Geology and Geostatistics, 513–14. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0810-5_50.

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Martinoni, Daria, and Bernhard Schneider. "Pluggable Terrain Module – Moving Digital Terrain Modelling to a Distributed Geoprocessing Environment." In Interoperating Geographic Information Systems, 315–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10703121_25.

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Holata, Lukáš, and Radek Světlík. "Detailed Digital Terrain Models in the Research of Deserted Settlement: Hydrological Modelling and Environment of Settlement Areas." In Lecture Notes in Geoinformation and Cartography, 113–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18407-4_10.

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Conference papers on the topic "Digital terrain modeling"

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de Hoop, Sylvia. "Conceptual modeling of terrain-mapping units." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182813.

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Shaver, Ryan J., Michael A. Saville, and James Park. "Modeling terrain profiles from digital terrain elevation data and national land cover data." In SPIE Defense + Security, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2016. http://dx.doi.org/10.1117/12.2225338.

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Durand, Philippe, Luan Jaupi, Dariush Ghorbanzadeh, and Jean Paul Rudant. "Modeling synthetic radar image from a digital terrain model." In Sixth International Conference on Graphic and Image Processing (ICGIP 2014), edited by Yulin Wang, Xudong Jiang, and David Zhang. SPIE, 2015. http://dx.doi.org/10.1117/12.2178696.

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Garcia, Miguel A. "Terrain modeling with uncertainty for geographic information systems." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182853.

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Thompson, Peter M., Chi-Ying Liang, David H. Klyde, and R. Wade Allen. "Combined Terrain, Vehicle, and Digital Human Models Used for Human Operator Performance Analysis." In Digital Human Modeling for Design and Engineering Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-2152.

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Pisleaga, Mihaela. "TOPOGRAPHICAL DATA COLLECTION FOR THE ACHIEVEMENT OF DIGITAL TERRAIN MODELING." In 16th International Multidisciplinary Scientific GeoConference SGEM2016. Stef92 Technology, 2016. http://dx.doi.org/10.5593/sgem2016/b23/s11.072.

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Lee, J. "Modeling terrain awareness and warning systems for airspace and procedure design." In 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC). IEEE, 2012. http://dx.doi.org/10.1109/dasc.2012.6382283.

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Wang, Aiguo, Wei Zhang, and Jianshu Cao. "Terrain clutter modeling for airborne radar system using digital elevation model." In 2012 International Workshop on Microwave and Millimeter Wave Circuits and System Technology (MMWCST). IEEE, 2012. http://dx.doi.org/10.1109/mmwcst.2012.6238182.

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Li, Qing, Xianrong Ding, Ang Zhu, Ligang Cheng, Yanyan Kang, Xiaoping Ge, and Jing Zhang. "Modeling methods for tidal flat digital terrain based on neural network." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5691689.

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Al-Daher, Zaid, Leonidas P. Ivrissimtzis, and Akram Hammoudeh. "Physical Optics modeling of fixed microwave links with digital terrain data." In 2012 Loughborough Antennas & Propagation Conference (LAPC). IEEE, 2012. http://dx.doi.org/10.1109/lapc.2012.6403066.

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Reports on the topic "Digital terrain modeling"

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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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Odom, Richard H., and W. Henry McNab. Using Digital Terrain Modeling to Predict Ecological Types in the Balsam Mountains of Western North Carolina. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2000. http://dx.doi.org/10.2737/srs-rn-8.

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Odom, Richard H., and W. Henry McNab. Using Digital Terrain Modeling to Predict Ecological Types in the Balsam Mountains of Western North Carolina. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2000. http://dx.doi.org/10.2737/srs-rn-8.

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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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Abstract:
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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