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Lecture 17 Terrain modelling: applications

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Title: Lecture 17 Terrain modelling: applications


1
Lecture 17Terrain modelling applications
  • Outline
  • introduction
  • access modelling
  • landscape evaluation

2
Introduction
  • Many applications of terrain models
  • visualisation covered already
  • hillshading and orthographic views
  • animation and photorealism
  • others
  • access modelling
  • visibility analysis and landscape evaluation
  • slope and hazard mapping
  • hydrological modelling

3
Access modelling
  • Terrain is a vital element for realistic access
    models
  • flat, boundless plains of Weberian industrial
    location analysis just dont exist!
  • need to take terrain-based costs into account
  • Slope as push/pull factor
  • Barrier features
  • additional layer in GIS access models

4
Distance models
  • Isotropic distance models
  • dont take cost factors into account
  • e.g. eucdistance in GRID or buffer in Arc/Info
  • Anisotropic distance models
  • take cost factors into account
  • e.g. costdistance in GRID

5
Example distance model output
Buffer zones
Distance surface
Anisotropic surface
Residuals
6
Routing models
  • Cost or friction surfaces can be used to
    calculate shortest path between two points
  • Euclidean model takes only distance into account
  • result is straight line or as the crow flies
  • anisotropic model takes cost or friction surface
    into account
  • may be positive (push) or negative (pull)
  • uses cost of traversing a cell in a particular
    direction to identify least accumulative cost
    route
  • result is unlikely to be a straight line

7
Example routing output
Crianlarich-Benmore circular walk
Minimum distance/time surface
Check-points
Actual route
Predicted route
8
Case study modelling remoteness
  • Off-road accessibility is function of
  • distance from nearest road
  • slope relative to direction of travel
  • ground conditions (trafficability)
  • barrier features (rivers, lakes, cliffs, etc.)
  • Combine within anisotropic access model as cost
    or friction surfaces

9
Question
  • What other cost factors might we include in a
    model of off-road accessibility?

10
Remoteness model
  • Combined model integrating
  • Dijkstras Shortest Path Algorithm
  • calculate shortest path from origin to any
    destination based on relative costs of movement
    through set of cells between origin and
    destination
  • Naismiths Rule (1892)
  • an hour for every three miles on the map, with
    an additional hour for every 2,000 feet of
    ascent
  • -10 minutes/300 m descent for slopes 5gt12 10
    minutes/300 m descent for slopes gt12

11
Results
  • Naismith's/Dijkstra's model used to model
    relative remoteness of Cairngorms area under
    different scenarios
  • with and without mountain-bike access along
    trails
  • before and after proposed ski funicular
  • ArcGIS alternative Costpath
  • calculates the least-accumulative-cost distance
    over cost surface from source cell(s) accounting
    for surface distance and horizontal/vertical cost
    factors.

12
What if? modelling of Mountain bike
restrictions Mar Lodge estate
With mountain bike use along track from Linn of
Dee
Without mountain bike use along track from Linn
of Dee
13
Effects of the Cairngorm Ski Funicular
With parking restrictions at the Day Lodge and
along access road
Without parking restrictions at the Day Lodge or
along access road
14
Visibility analysis
  • Use of DTM to calculate viewshed of particular
    point
  • where can point X be seen from on surface Y?
  • what part of surface Y can be seen from point X?
  • Multiple point viewsheds combined to calculate
    viewshed of line and area features
  • where and part of feature X be seen on surface Y?
  • what part of surface Y can be seen from which
    point on feature X?

15
Calculating viewsheds
  • Uses line of sight from observer point to terrain
    surface to calculate intervisibility matrix
  • visible parts of terrain surface
  • non-visible areas (i.e. dead areas)
  • Use of observation point and terrain offsets
  • e.g. height of person or observation tower
  • e.g. height of wind turbine or other feature

16
Calculating an inter-visibility matrix
Offset a
Offset b
v
v
v
nv
nv
nv
without offset b
with offset b
not visible
visible
17
Example viewsheds
18
Uses of visibility analysis
  • Many different uses
  • visual impact analysis
  • landscape evaluation
  • siting of observation towers and cellular
    communications masts
  • modelling coverage of cellular communications
  • military applications
  • virtual GIS

19
Wind farm impact assessment
20
Landscape evaluation of Scotland
Intervisibility matrix (After Miller)
50m DEM
Littons 1968 scenic assessment
21
Landscape evaluation of Britain
22
Visual impact of human features
23
Cell phone coverage
24
Military applications
25
Virtual GIS
26
Conclusions
  • Many uses for DEMs in environmental applications
    of GIS
  • key variable determining accessibility
  • important landscape variable
  • controlling factor in gravity hazards including
    flooding, avalanches, landslides, etc.

27
Practical
  • Visibility assessment
  • Task Calculate viewshed of a wind farm
  • Data The following datasets are provided
  • Digital elevation model (50m resolution 150,000
    OS Panorama data)
  • Wind farm turbine location(s)
  • ITE LCM90 data

28
Practical
  • Steps
  • Display DEM and turbine locations in ArcMap or
    GRID
  • Calculate viewshed of wind turbines using both 1
    and 16 turbines assuming a turbine height of 30m
    using visibility
  • Display results in ArcMap or GRID

29
Learning outcomes
  • Familiarity with the VISIBILITY command in
    Arc/Info
  • Experience with developing impact assessments
    based on environmental variables

30
Useful web links
  • Access modelling
  • http//www.geogr.ku.dk/dkgs/image/pub_pdf/artikler
    /2002/GT2002_05tb.pdf
  • Archaeology and viewshed analysis
  • http//www.casa.arizona.edu/MPP/viewshed/vspaper.h
    tml
  • Scenic highway designation
  • http//crssa.rutgers.edu/projects/highway/highway.
    html

31
Next week
  • Hydrological modelling
  • Basics of hydrology
  • Creating hydrologically correct DEMs
  • Modelling catchment variables
  • Practical
  • Derive stream network from DEM
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