Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid

International audience The research problem is about to generate artificial fractal landscape surfaces from the Digital Elevation Model (DEM) using a stochastic algorithm by Geographic Resources Analysis Support System Geographic Information System (GRASS GIS) software. Fractal surfaces resemble app...

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Published in:Journal of Geodesy and Geoinformation
Main Author: Lemenkova, Polina
Other Authors: Ocean University of China (OUC), The research was funded by China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, China.
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2020
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-02956736
https://hal.archives-ouvertes.fr/hal-02956736/document
https://hal.archives-ouvertes.fr/hal-02956736/file/10.9733-JGG.2020R0006.E-1048919.pdf
https://doi.org/10.9733/JGG.2020R0006.E
id ftccsdartic:oai:HAL:hal-02956736v1
record_format openpolar
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic GRASS GIS
Fractal surface
Digital elevation model
Grid
ETOPO1
Fraktal yüzey
Sayısal yükseklik modeli
ACM: I.: Computing Methodologies
ACM: K.: Computing Milieux
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation/I.6.8.8: Visual
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems/I.6.7.0: Environments
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE
ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING
[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology
[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
spellingShingle GRASS GIS
Fractal surface
Digital elevation model
Grid
ETOPO1
Fraktal yüzey
Sayısal yükseklik modeli
ACM: I.: Computing Methodologies
ACM: K.: Computing Milieux
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation/I.6.8.8: Visual
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems/I.6.7.0: Environments
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE
ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING
[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology
[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Lemenkova, Polina
Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid
topic_facet GRASS GIS
Fractal surface
Digital elevation model
Grid
ETOPO1
Fraktal yüzey
Sayısal yükseklik modeli
ACM: I.: Computing Methodologies
ACM: K.: Computing Milieux
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation/I.6.8.8: Visual
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems/I.6.7.0: Environments
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE
ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING
[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology
[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
description International audience The research problem is about to generate artificial fractal landscape surfaces from the Digital Elevation Model (DEM) using a stochastic algorithm by Geographic Resources Analysis Support System Geographic Information System (GRASS GIS) software. Fractal surfaces resemble appearance of natural topographic terrain and its structure using random surface modelling. Study area covers Kuril- Kamchatka region, Sea of Okhotsk, North Pacific Ocean. Techniques were included into GRASS GIS modules (r.relief, d.rast, r.slope.aspect, r.mapcalc) for raster calculation, processing and visualization. Module 'r.surf.fractal' was applied for generating synthetic fractal surface from ETOPO1 DEM GeoTIFF using algorithm of fractal analysis. Three tested dimensions of the fractal surfaces were automatically mapped and visualized. Algorithm of the automated fractal DEM modelling visualized variations in steepness and aspect of the artificially generated slopes in the mountains. Controllable topographic variation of the fractal surfaces was applied for three dimensions: dim=2.0001, 2.0050, 2.0100. Auxiliary modules were used for the visualization of DEMs (d.rast, r.colors, d.vect, r.contour, d.redraw, d.mon). Modules 'r.surf.gauss' and 'r.surf.random' were applied for artificial modelling as Gauss and random based mathematical surfaces, respectively. Univariate statistics for fractal surfaces were computed for comparative analysis of maps representing continuous fields by module 'r.univar': number of cells, min/max, range, mean, variance, standard deviation, variation coefficient and sum. The paper includes 9 maps and GRASS GIS codes used for visualization. Araştırma problemi, GRASS GIS yazılımı ile stokastik bir algoritma kullanılarak Sayısal Yükseklik Modeli'nden (SYM) yapay fraktal yüzeylerin üretilmesidir. Fraktal yüzeyler, doğal topografik arazinin görünümüne ve yapısına rastgele yüzey modellemesi kullanarak benzerler. Çalışma alanı Kuril-Kamçatka bölgesini, Okhotsk Denizi'ni, Kuzey Pasifik Okyanusu'nu ...
author2 Ocean University of China (OUC)
The research was funded by China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, China.
format Article in Journal/Newspaper
author Lemenkova, Polina
author_facet Lemenkova, Polina
author_sort Lemenkova, Polina
title Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid
title_short Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid
title_full Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid
title_fullStr Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid
title_full_unstemmed Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid
title_sort fractal surfaces of synthetical dem generated by grass gis module r.surf.fractal from etopo1 raster grid
publisher HAL CCSD
publishDate 2020
url https://hal.archives-ouvertes.fr/hal-02956736
https://hal.archives-ouvertes.fr/hal-02956736/document
https://hal.archives-ouvertes.fr/hal-02956736/file/10.9733-JGG.2020R0006.E-1048919.pdf
https://doi.org/10.9733/JGG.2020R0006.E
geographic Okhotsk
Pacific
geographic_facet Okhotsk
Pacific
genre Kamchatka
genre_facet Kamchatka
op_source ISSN: 2147-1339
EISSN: 2667-8519
Journal of Geodesy and Geoinformation
https://hal.archives-ouvertes.fr/hal-02956736
Journal of Geodesy and Geoinformation, UCTEA Chamber of Surveying and Cadastre Engineers, Turkey, 2020, 7 (2), pp.86-102. ⟨10.9733/JGG.2020R0006.E⟩
https://dergipark.org.tr/en/pub/hkmojjd/issue/56644/718892
op_relation info:eu-repo/semantics/altIdentifier/doi/10.9733/JGG.2020R0006.E
hal-02956736
https://hal.archives-ouvertes.fr/hal-02956736
https://hal.archives-ouvertes.fr/hal-02956736/document
https://hal.archives-ouvertes.fr/hal-02956736/file/10.9733-JGG.2020R0006.E-1048919.pdf
doi:10.9733/JGG.2020R0006.E
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.9733/JGG.2020R0006.E
container_title Journal of Geodesy and Geoinformation
container_volume 7
container_issue 2
container_start_page 86
op_container_end_page 102
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spelling ftccsdartic:oai:HAL:hal-02956736v1 2023-05-15T16:59:32+02:00 Fractal surfaces of synthetical DEM generated by GRASS GIS module r.surf.fractal from ETOPO1 raster grid Lemenkova, Polina Ocean University of China (OUC) The research was funded by China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, China. 2020 https://hal.archives-ouvertes.fr/hal-02956736 https://hal.archives-ouvertes.fr/hal-02956736/document https://hal.archives-ouvertes.fr/hal-02956736/file/10.9733-JGG.2020R0006.E-1048919.pdf https://doi.org/10.9733/JGG.2020R0006.E en eng HAL CCSD UCTEA Chamber of Surveying and Cadastre Engineers, Turkey info:eu-repo/semantics/altIdentifier/doi/10.9733/JGG.2020R0006.E hal-02956736 https://hal.archives-ouvertes.fr/hal-02956736 https://hal.archives-ouvertes.fr/hal-02956736/document https://hal.archives-ouvertes.fr/hal-02956736/file/10.9733-JGG.2020R0006.E-1048919.pdf doi:10.9733/JGG.2020R0006.E info:eu-repo/semantics/OpenAccess ISSN: 2147-1339 EISSN: 2667-8519 Journal of Geodesy and Geoinformation https://hal.archives-ouvertes.fr/hal-02956736 Journal of Geodesy and Geoinformation, UCTEA Chamber of Surveying and Cadastre Engineers, Turkey, 2020, 7 (2), pp.86-102. ⟨10.9733/JGG.2020R0006.E⟩ https://dergipark.org.tr/en/pub/hkmojjd/issue/56644/718892 GRASS GIS Fractal surface Digital elevation model Grid ETOPO1 Fraktal yüzey Sayısal yükseklik modeli ACM: I.: Computing Methodologies ACM: K.: Computing Milieux ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation/I.6.8.8: Visual ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems/I.6.7.0: Environments ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG] [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS] [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] info:eu-repo/semantics/article Journal articles 2020 ftccsdartic https://doi.org/10.9733/JGG.2020R0006.E 2020-12-23T23:02:41Z International audience The research problem is about to generate artificial fractal landscape surfaces from the Digital Elevation Model (DEM) using a stochastic algorithm by Geographic Resources Analysis Support System Geographic Information System (GRASS GIS) software. Fractal surfaces resemble appearance of natural topographic terrain and its structure using random surface modelling. Study area covers Kuril- Kamchatka region, Sea of Okhotsk, North Pacific Ocean. Techniques were included into GRASS GIS modules (r.relief, d.rast, r.slope.aspect, r.mapcalc) for raster calculation, processing and visualization. Module 'r.surf.fractal' was applied for generating synthetic fractal surface from ETOPO1 DEM GeoTIFF using algorithm of fractal analysis. Three tested dimensions of the fractal surfaces were automatically mapped and visualized. Algorithm of the automated fractal DEM modelling visualized variations in steepness and aspect of the artificially generated slopes in the mountains. Controllable topographic variation of the fractal surfaces was applied for three dimensions: dim=2.0001, 2.0050, 2.0100. Auxiliary modules were used for the visualization of DEMs (d.rast, r.colors, d.vect, r.contour, d.redraw, d.mon). Modules 'r.surf.gauss' and 'r.surf.random' were applied for artificial modelling as Gauss and random based mathematical surfaces, respectively. Univariate statistics for fractal surfaces were computed for comparative analysis of maps representing continuous fields by module 'r.univar': number of cells, min/max, range, mean, variance, standard deviation, variation coefficient and sum. The paper includes 9 maps and GRASS GIS codes used for visualization. Araştırma problemi, GRASS GIS yazılımı ile stokastik bir algoritma kullanılarak Sayısal Yükseklik Modeli'nden (SYM) yapay fraktal yüzeylerin üretilmesidir. Fraktal yüzeyler, doğal topografik arazinin görünümüne ve yapısına rastgele yüzey modellemesi kullanarak benzerler. Çalışma alanı Kuril-Kamçatka bölgesini, Okhotsk Denizi'ni, Kuzey Pasifik Okyanusu'nu ... Article in Journal/Newspaper Kamchatka Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Okhotsk Pacific Journal of Geodesy and Geoinformation 7 2 86 102