DEM
Digital Elevation Data
DEM : Digital Elevation Mode DSM : Digital Surface Model
DEM data format
 Grid data
 TIN (Triangulated irregular network) data
GRID data
 Raster format
 Interpolated values
 Takes large storage
 Good for network analysis
TIN data
 Vector based representation
 irregularly distributed nodes and lines with three dimensional coordinates (x,y,
and z)
 arranged in a network of nonoverlapping triangles (triangular tessellation)
 Based on Delaunay triangulation
 Density of points α variation in surface heights
 (+) points provide accurate representation of terrain
 (+) fewer points are needed
 (-) less suited for analysis of surface slope, aspect and network analysis
Network analysis using DEM
 Slope , aspect define the path of flow
 Grid vs TIN data
Flow Direction
128 128
2
2 2
2
2
2
4
4
4
8
1 1 2
1
4
2
8
4
4
8
2
1
2
1
1
1
4
1
4
4
4
16
4
8
78
74
72
67
69
56
71
49
58
50
69
64
53
58
44
55
37
22
38
31
48
24
68
74
61
53
47
34
21
12
16
11
19
12
46
49
Elevation
Direction Coding
Flow Direction
128
64
32
16
8 4
1
2
Flow Accumulation
0
0
0
1
0
1
0
2
0
0
0
0
3
0
7
0
5
20
4
0
0
1
0
0
0
2
0
4
1
7
24
35
0
2
2
0
64 128
1
16
8 2
4
32
Direction Coding
Drainage System: deriving streams
1 1
1 2 2
2 2 2 2
2 2
Value = No Data Stream Network
Stream Network
3
1
1
1 1
1
1
1
2 2
2 2
2
Strahler Stream Order
Delineate the contributing area
to a cell or group of cells
(Basin, Catchment,
Contributing area)
Catchment Boundaries
(Drainage Divides)
Pour Points
(Outlets)
Drainage System: deriving watershed
Network analysis: problems in DEM analysis
Hypothetic: How sink looks in Elevation
Model
92 89 88
91 77 80
88 80 79
99 99 98 99 99 98 99 99 98 99 99 98
99 99 98 99 99 98 99 99 98 99 99 98
98 98 97 99 99 98 99 99 98 98 98 97
97 99 95 92 89 88 90 88 80 97 99 95
99 99 98 91 78 78 78 78 89 99 99 98
99 99 98 88 78 77 77 78 78 98 98 97
99 99 97 87 78 77 77 78 76 97 99 95
99 99 95 98 78 78 78 78 90 99 99 98
99 99 98 98 94 91 90 89 93 98 99 99
99 99 98 94 99 98 94 90 90 90 98 98
98 98 97 99 99 98 99 99 89 90 97 99
97 99 95 99 99 98 99 99 89 90 99 99
A cell or set of spatially connected
cells whose flow direction cannot
be assigned one of the eight valid
values in a flow direction raster
SINK
Depression or Sink
 A sink is an area surrounded by higher elevation values, and is also
referred to as a depression or pit. This is an area of internal drainage.
Some of these may be natural, particularly in glacial or Karst topographic
area (Mark, 1988). Also could be mine pits, local depression.
Artifact Removal
Identifying artifact is key
Important to set the extent to remove artifact
Remove only required artifacts at required places
Interpolate values with nearest and lowest
Example of sinks created due to
artifacts
Example of sinks created due to
artifacts
Channel slope: DEM analysis
0 10 kms
1
2
4
8
16
32
64
128
0
871489
2 4 8
1 16
128 64 32
DEM Flow Direction
map
Flow Accumulation
Map
Extracted
Stream network
Isis River
m
1413
238
Channel slope: DEM analysis
DEM extracted network vs channel network
0 10 kms
Isis River Isis River Dart Brook
Channel slope: DEM analysis
Drainage
network
(Source: DIPNR, NSW)
Drainage network
modified
Extracted Stream network
from burned DEM
Stream
network
+
DEM

Burned
DEM

Stream
network
extraction
0 5 10 kms
Channel slope: DEM analysis
Burned DEM extracted network vs channel network
Isis River Dart Brook

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Presentation on Digital Elevation Model and related

  • 1. DEM
  • 2. Digital Elevation Data DEM : Digital Elevation Mode DSM : Digital Surface Model
  • 3. DEM data format  Grid data  TIN (Triangulated irregular network) data
  • 4. GRID data  Raster format  Interpolated values  Takes large storage  Good for network analysis
  • 5. TIN data  Vector based representation  irregularly distributed nodes and lines with three dimensional coordinates (x,y, and z)  arranged in a network of nonoverlapping triangles (triangular tessellation)  Based on Delaunay triangulation  Density of points α variation in surface heights  (+) points provide accurate representation of terrain  (+) fewer points are needed  (-) less suited for analysis of surface slope, aspect and network analysis
  • 6. Network analysis using DEM  Slope , aspect define the path of flow  Grid vs TIN data
  • 7. Flow Direction 128 128 2 2 2 2 2 2 4 4 4 8 1 1 2 1 4 2 8 4 4 8 2 1 2 1 1 1 4 1 4 4 4 16 4 8 78 74 72 67 69 56 71 49 58 50 69 64 53 58 44 55 37 22 38 31 48 24 68 74 61 53 47 34 21 12 16 11 19 12 46 49 Elevation Direction Coding Flow Direction 128 64 32 16 8 4 1 2
  • 9. Drainage System: deriving streams 1 1 1 2 2 2 2 2 2 2 2 Value = No Data Stream Network Stream Network 3 1 1 1 1 1 1 1 2 2 2 2 2 Strahler Stream Order
  • 10. Delineate the contributing area to a cell or group of cells (Basin, Catchment, Contributing area) Catchment Boundaries (Drainage Divides) Pour Points (Outlets) Drainage System: deriving watershed
  • 11. Network analysis: problems in DEM analysis
  • 12. Hypothetic: How sink looks in Elevation Model 92 89 88 91 77 80 88 80 79 99 99 98 99 99 98 99 99 98 99 99 98 99 99 98 99 99 98 99 99 98 99 99 98 98 98 97 99 99 98 99 99 98 98 98 97 97 99 95 92 89 88 90 88 80 97 99 95 99 99 98 91 78 78 78 78 89 99 99 98 99 99 98 88 78 77 77 78 78 98 98 97 99 99 97 87 78 77 77 78 76 97 99 95 99 99 95 98 78 78 78 78 90 99 99 98 99 99 98 98 94 91 90 89 93 98 99 99 99 99 98 94 99 98 94 90 90 90 98 98 98 98 97 99 99 98 99 99 89 90 97 99 97 99 95 99 99 98 99 99 89 90 99 99 A cell or set of spatially connected cells whose flow direction cannot be assigned one of the eight valid values in a flow direction raster SINK
  • 13. Depression or Sink  A sink is an area surrounded by higher elevation values, and is also referred to as a depression or pit. This is an area of internal drainage. Some of these may be natural, particularly in glacial or Karst topographic area (Mark, 1988). Also could be mine pits, local depression.
  • 14. Artifact Removal Identifying artifact is key Important to set the extent to remove artifact Remove only required artifacts at required places Interpolate values with nearest and lowest
  • 15. Example of sinks created due to artifacts
  • 16. Example of sinks created due to artifacts
  • 17. Channel slope: DEM analysis 0 10 kms 1 2 4 8 16 32 64 128 0 871489 2 4 8 1 16 128 64 32 DEM Flow Direction map Flow Accumulation Map Extracted Stream network Isis River m 1413 238
  • 18. Channel slope: DEM analysis DEM extracted network vs channel network 0 10 kms Isis River Isis River Dart Brook
  • 19. Channel slope: DEM analysis Drainage network (Source: DIPNR, NSW) Drainage network modified Extracted Stream network from burned DEM Stream network + DEM  Burned DEM  Stream network extraction 0 5 10 kms
  • 20. Channel slope: DEM analysis Burned DEM extracted network vs channel network Isis River Dart Brook

Editor's Notes

  • #2: Digital elevation models (DEMs) are used more and more frequently in flood plain management. Examples include flood plain models, visualization, flood hazard assessment, and determination of flood-plain elevation. One of the major problems in developing accurate high resolution DEMs is that traditional data sources do not possess enough horizontal resolution and vertical accuracy for flood-plain studies. In this study, a high-resolution DEM was generated using digitally scanned NAPP aerial photos in conjunction with highly accurate ground control from a rapid-static GPS survey. The high resolution DEM and an ortho-mosaic of the NAPP images developed in this study were made available to St. Charles County government officials through the World Wide Web using Client-Server technology. The design and development of this technology utilized ArcViewIMS, ArcView GIS, Java, JavaScript, HTML and Avenue programming. This Web-based tool allows the user to query a point in the ortho-mosaic to determine horizontal position and vertical elevation. In addition, common mapping functions such as zoom, pan, download and print are also incorporated in the Web-based tool