Stream network analysis Wolfgang Schwanghart
Description: Stream network analysis Wolfgang Schwanghart STREAMobj Terminology Structure Constructor function Modifying streams Plotting Node attribute list Terminology channelhead confluence outlet node, vertex edge, arc tree or (strongly) connected
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slide1. Stream network analysis Wolfgang Schwanghart<br>
slide2. STREAMobj Terminology
Structure
Constructor function
Modifying streams
Plotting
Node attribute list<br>
slide3. Terminology channelhead confluence outlet node, vertex edge, arc tree or (strongly) connected
component<br>
slide4. STREAMobj structure >> S = STREAMobj(FD,'minarea',1000);
>> S
S =
STREAMobj
Properties:
size: [643 1197]
ix: [13613x1 double]
ixc: [13613x1 double]
cellsize: 30
refmat: [3x2 double]
georef: [1x1 struct]
IXgrid: [13645x1 double]
x: [13645x1 double]
y: [13645x1 double]
distance: [13645x1 double]
orderednanlist: [14059x1 double]<br>
slide5. Deriving a STREAMobj S = STREAMobj(FD,I)
where
I = flowacc(FD) > 1000
this is the same as
S = STREAMobj(FD,‘minarea‘,1000)
or
ca = 1000*DEM.cellsize^2;
S = STREAMobj(FD,‘minarea‘,ca,‘unit‘,‘map‘)<br>
slide6. Stream network modification klargestconncomps: extract the k largest connected components of a network
trunk: extract the longest river in each connected component
modify: lots of options to modify river network based on
stream order
distance
upstream of area
...<br>
slide7. STREAMobj/modify<br>
slide8. Node-attribute lists (NAL) a column vector that contains an attribute value for each node in the network
S.x and S.y are NALs
z = getnal(S,DEM)
g = gradient(S,DEM) returns a NAL
Some functions use NALs g = gradient(S,z) channelhead confluence outlet node, vertex edge, arc<br>
slide9. Plotting plot(S): show planform patterns
plotc(S,DEM): show planform patterns with coloring based on GRIDobj or node-attribute list
plot3(S,DEM): 3D plot of network
plot3d(S,DEM): another 3D plot
plotdz(S,DEM): plot of stream network distance from the outlet vs. elevation
plotstreamorder(S)<br>
slide2. STREAMobj Terminology
Structure
Constructor function
Modifying streams
Plotting
Node attribute list<br>
slide3. Terminology channelhead confluence outlet node, vertex edge, arc tree or (strongly) connected
component<br>
slide4. STREAMobj structure >> S = STREAMobj(FD,'minarea',1000);
>> S
S =
STREAMobj
Properties:
size: [643 1197]
ix: [13613x1 double]
ixc: [13613x1 double]
cellsize: 30
refmat: [3x2 double]
georef: [1x1 struct]
IXgrid: [13645x1 double]
x: [13645x1 double]
y: [13645x1 double]
distance: [13645x1 double]
orderednanlist: [14059x1 double]<br>
slide5. Deriving a STREAMobj S = STREAMobj(FD,I)
where
I = flowacc(FD) > 1000
this is the same as
S = STREAMobj(FD,‘minarea‘,1000)
or
ca = 1000*DEM.cellsize^2;
S = STREAMobj(FD,‘minarea‘,ca,‘unit‘,‘map‘)<br>
slide6. Stream network modification klargestconncomps: extract the k largest connected components of a network
trunk: extract the longest river in each connected component
modify: lots of options to modify river network based on
stream order
distance
upstream of area
...<br>
slide7. STREAMobj/modify<br>
slide8. Node-attribute lists (NAL) a column vector that contains an attribute value for each node in the network
S.x and S.y are NALs
z = getnal(S,DEM)
g = gradient(S,DEM) returns a NAL
Some functions use NALs g = gradient(S,z) channelhead confluence outlet node, vertex edge, arc<br>
slide9. Plotting plot(S): show planform patterns
plotc(S,DEM): show planform patterns with coloring based on GRIDobj or node-attribute list
plot3(S,DEM): 3D plot of network
plot3d(S,DEM): another 3D plot
plotdz(S,DEM): plot of stream network distance from the outlet vs. elevation
plotstreamorder(S)<br>