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
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
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
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