S EMI -A UTOMATED R OCK D EPICTION M ETHODS FOR L ARGE S CALE T - - PowerPoint PPT Presentation

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S EMI -A UTOMATED R OCK D EPICTION M ETHODS FOR L ARGE S CALE T - - PowerPoint PPT Presentation

S EMI -A UTOMATED R OCK D EPICTION M ETHODS FOR L ARGE S CALE T OPOGRAPHIC M APS Matthias Grnwald, Karel Kriz University of Vienna, Department of Geography and Regional Research, Cartography and GIS, Vienna, Austria Content Objectives and


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SEMI-AUTOMATED ROCK DEPICTION METHODS

FOR LARGE SCALE TOPOGRAPHIC MAPS

Matthias Grünwald, Karel Kriz University of Vienna, Department of Geography and Regional Research, Cartography and GIS, Vienna, Austria

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Content

 Objectives and restrictions  Background: Manually drawn rock depictions  Principles and elements  Method

 Process of automation  Data Generation  Outcome  Problems

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Objectives

 Creating rock depiction primary from DEM  Large scales (1 : 25.000 / 1 : 50.000)  Semi-automated method  Combination of automated processes and manual steps  Based on principles and elements of known manual

methods

 Restrictions  No detection of edges and rock boundary  Not trying to copy or reproduce

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Brenta 1:25.000 (Aegerter) ÖAV

Manually drawn rock depictions

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Manually drawn rock depictions

Ötztaler Alpen 1:25.000 (Ebster) ÖAV

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Manually drawn rock depictions

Gosaukamm 1:10.000 (Brandstätter) ÖAV

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Manually drawn rock depictions

Schweizer Landeskarte 1:25.000

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Principles and elements

  • Horizontal and vertical lines / hachures
  • Steep slopes: replace horizontal with vertical lines

(„Scharungsersatz“ - ÖAV Brandstätter)

  • Drawing elements depending on slope value
  • Shadow hachuring (Swiss Method)
  • Variation of stroke depending on aspect
  • „crumpled“ Lines
  • Variation of color and patterns of all elements
  • Rock boundary / relief edges ( manually added)
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Shadow hachuring

Hurni; 1998 Gilgen; 1998

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Steep slopes: Vertical hachures / lines

Gilgen; 1998

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Process of automation

 Base data: DEM (10m)  Generating Data

 GIS functions (GDAL, Python)

 „Cartographic depiction “

 Manipulation of graphic variables

(→ Line patterns, styles, colors)

 Cartogr. tool (mapyrus)

 Graphic revision, post-processing

 Graphic library (ImageMagick)

Vector Raster Raster

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Process of automation

Data generation Cartographic depiction Graphic revision Rock depiction

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Data generation

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Data generation

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Webinterface

Slope Aspect

Color / Pattern

Templates

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Outcome

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Details

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Map Samples Veitsch-Nord

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Details

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Problems: Plain slopes

 Different line patterns  Adding (minor) edges or other relief elements / details

(gullies)

 Similar problem with flat slopes

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SLIDE 21

ÖK 50

Comparison