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The methods for the visualization of digital elevation model with ArcGIS Pro raster functions : master thesis no.: 136/II. GIG
ID Maroh, Žiga (Author), ID Oštir, Krištof (Mentor) More about this mentor... This link opens in a new window, ID Kokalj, Žiga (Co-mentor), ID Doerffel, Guenter (Co-mentor)

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Abstract
V zadnjih letih so digitalni modeli višin (DMV) postali bolj natančni, dostopnejši in pogosteje posodobljeni. Zaradi tako velike količine kakovostnih podatkov je interpretacija DMV postala eden najpomembnejših virov podatkov za analize na različnih področjih kot so geodezija, gradbeništvo, kartografija, hidrologija, krajinska arhitektura, prostorsko planiranje, energetika, arheologija in mnogo drugih. DMV je običajno prikazan s sivinami. Uporabniki na podatkih DMV iščejo različne informacije. Vizualna interpretacija DMV prikazanega s sivinami ni intuitivna reprezentacija terena in nekaterih pokrajinskih značilnosti terena ni mogoče zaznati. Znanstveniki so zato razvili različne tehnike prikaza DMV, ki so se izkazale za zelo uporabne za interpretacijo terena in detekcijo majhnih morfoloških značilnosti terena. V magistrskem delu smo program Relief Visualization Toolbox (RVT) nadgradili za uporabo v programu ArcGIS Pro. V ArcGIS Pro smo implementirali obstoječe in nove prikaze kot ArcGIS Python rastrske funkcije. Vizualizacije, ki smo jih implementirali so: hillshade, multi directional hillshade, Simple Local Relief Model, Multi-Scale Relief Model, sky-view factor, anisotropic sky-view factor, local dominance, Multi-Scale Topographic Position, Visualization for Archeological Topography, Visualization for Archeological Topography Combined, Color Relief Image Map (smo ga razvili na novo), enhanced Multi-Scale Topographic Position version 3 (smo ga razvili na novo). Testirali smo hitrost računanja ArcGIS Python rastrskih funkcij (vizualizacij) na različnih računalnikih.

Language:Slovenian
Keywords:geodezija, magistrska dela, GIG, vizualizacija reliefa, digitalni model reliefa, rastrske funkcije, arcgis pro, python, orodje za vizualizacijo reliefa, rvt
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Place of publishing:Ljubljana
Publisher:[Ž. Maroh]
Year:2021
Number of pages:XI, 68 str.
PID:20.500.12556/RUL-132382 This link opens in a new window
UDC:528.9:004.42(043.3)
COBISS.SI-ID:85928195 This link opens in a new window
Publication date in RUL:23.10.2021
Views:905
Downloads:183
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Secondary language

Language:English
Title:Metode vizualizacije digitalnega modela reliefa z uporabo ArcGIS Pro rastrskih funkcij : magistrsko delo št.: 136/II. GIG
Abstract:
Over the years, the accessibility, frequency, and accuracy of digital elevation models (DEMs) evolved. With so much quality data, interpretation of DEMs has become a common source for geographical analysis in various fields, including geodetic survey, engineering, cartography, hydrology, landscape architecture, spatial planning, energetics, archaeology, and many more. DEM is usually visualized with grayscale. Every user seeks certain information from DEM. Interpretation of DEM, when represented with grayscale, is not an intuitive representation of terrain, and some landscape features cannot be detected. Therefore, scientists developed different visualization techniques (methods) of DEM that are effective for interpreting and detecting small landscape features of the terrain. In this master's thesis, we upgraded the Relief Visualization Toolbox (RVT) to be used in ArcGIS Pro geographic information system software. We implemented RVT visualizations and other visualization techniques into ArcGIS Pro as ArcGIS Python raster functions. Featured visualization techniques are: slope gradient, hillshade, multi directional hillshade, Simple Local Relief Model, Multi-Scale Relief Model, sky-view factor, anisotropic sky-view factor, local dominance, Multi-Scale Topographic Position, Visualization for Archeological Topography, Visualization for Archeological Topography Combined, Color Relief Image Map (developed by us), enhanced Multi-Scale Topographic Position version 3 (developed by us). We tested the performance of the created ArcGIS Python raster functions (visualizations) on different computers.

Keywords:geodesy, master thesis, relief visualization, digital elevation model, raster functions, arcgis pro, python, relief visualization toolbox, rvt

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