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KSN_Profiler.m
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KSN_Profiler.m
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function [knl,ksn_master,Sc]=KSN_Profiler(DEM,FD,A,S,varargin)
% Function to interactively select channel heads and define segements over which to calculate channel steepness values.
% This function is designed to be similar to the operation of Profiler_51. Function will display map with the stream network and
% expects the user to select a location near a channel head of interest. The user will be then prompted to confirm that the defined
% stream is the desired choice. Finally, displays of the chi-z and longitudinal profile of the selected river will appear and the user
% is expected to define (with mouse clicks) any obvious segments with different channel steepness (or concavity) on either the chi-z plot
% or the stream profile (see 'pick_method' option). When done selecting press enter/return. The user will be prompted whether they wish to
% continue picking streams or if they are done. When done picking streams, the function will output three different products (see below)
% and produce a shapefile of the selected streams with ksn, concavity, area, and gradient.
%
% Required Inputs:
% DEM - Digital Elevation as a GRIDobj, assumes unconditioned DEM (e.g. DEMoc from ProcessRiverBasins)
% FD - Flow direction as FLOWobj
% S - Stream network as STREAMobj
% A - Flow accumulation GRIDobj
%
% Optional Inputs:
% smooth_distance [1000] - distance in map units over which to smooth ksn measures when converting to shapefile
% theta_method ['ksn']- options for concavity
% 'ksn' - uses a reference concavity, the user can specify this value with the reference concavity option (see below)
% 'concavity' - function finds a best fit concavity for each stream segment
% pick_method ['chi'] - choice of how you want to pick stream segments:
% 'chi' - select segments on a chi - z plot (recommended)
% 'stream' - select segments on a longitudinal profile
% junction_method ['check'] - choice of how to deal with stream junctions:
% 'check' - after each choice, will check whether downstream portions of the selected stream have already been fit, and if it has,
% the already fit portion of the stream will not be displayed or refit (recommended)
% 'ignore' - each stream will be displayed from its head to mouth independent of whether portions of the same stream network have
% been fit
% ref_concavity [0.45] - refrence concavity used if 'theta_method' is set to 'ksn'
% max_ksn [250] - maximum ksn used for the color scale, will not effect actual results, for display purposes only
%
% Outputs:
% knl - n x 6 matrix of node list for selected stream segments, columns are x coordinate, y coordinate, drainage area, ksn,
% concavity, and gradient
% ksn_master - identical to knl but as a cell array where individual cells are individual selected channels
% Sc - STREAMobj of selected streams
%
% Examples:
% [knl,ksn_master,Sc]=KSN_Profiler(DEM,FD,A,S);
% [knl,ksn_master,Sc]=KSN_Profiler(DEM,FD,A,S,'junction_method','ignore','ref_concavity',0.65,'max_ksn',500);
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Function Written by Adam M. Forte - Last Revised Spring 2016 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Parse Inputs
p = inputParser;
p.FunctionName = 'KSN_Profiler';
addRequired(p,'DEM',@(x) isa(x,'GRIDobj'));
addRequired(p,'FD',@(x) isa(x,'FLOWobj'));
addRequired(p,'A',@(x) isa(x,'GRIDobj'));
addRequired(p,'S',@(x) isa(x,'STREAMobj'));
addParamValue(p,'smooth_distance',1000,@(x) isscalar(x) && isnumeric(x));
addParamValue(p,'theta_method','ksn',@(x) ischar(validatestring(x,{'ksn','concavity'})));
addParamValue(p,'pick_method','chi',@(x) ischar(validatestring(x,{'chi','stream'})));
addParamValue(p,'junction_method','check',@(x) ischar(validatestring(x,{'check','ignore'})));
addParamValue(p,'ref_concavity',0.45,@(x) isscalar(x) && isnumeric(x));
addParamValue(p,'max_ksn',250,@(x) isscalar(x) && isnumeric(x));
parse(p,DEM,FD,A,S,varargin{:});
DEM=p.Results.DEM;
FD=p.Results.FD;
S=p.Results.S;
A=p.Results.A;
smooth_distance=p.Results.smooth_distance;
theta_method=p.Results.theta_method;
pick_method=p.Results.pick_method;
junction_method=p.Results.junction_method;
ref_theta=p.Results.ref_concavity;
% Max Ksn for color scaling
mksn=p.Results.max_ksn;
% Find channel heads
[ch]=streampoi(S,'channelheads','xy');
% Generate hillshade
HS=hillshade(DEM,'altitude',25);
[hs,X,Y]=GRIDobj2mat(HS);
hsi=real2rgb(hs,'gray');
% Create master KSN colormap
try
ksnCT=cbrewer('div','RdYlGn',10);
KSN_col=flipud(ksnCT);
catch
% Use jet if colorbrewer is not available
KSN_col=jet(10);
end
% Create hydrologically conditioned DEM;
DEMc=imposemin(FD,DEM,0.001);
G=gradient8(DEMc);
% Initiate figure
close all
f1=figure(1);
set(f1,'Units','normalized','Position',[0.05 0.1 0.45 0.8],'renderer','painters');
hold on
colormap(KSN_col);
imagesc(DEM);
image(X,Y,hsi);
plot(S,'-k');
axis equal
caxis([0 mksn])
c1=colorbar;
ylabel(c1,'Channel Steepness')
hold off
% Initiate counters and while loop values
str1='N';
str2='Y';
ii=1;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Begin main IF statement to switch between options %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if strcmp(theta_method,'ksn')==1 && strcmp(pick_method,'chi')==1 && strcmp(junction_method,'check')==1
while strcmp(str2,'Y')==1;
while strcmp(str1,'N')==1;
disp('Zoom or pan to area of interest and then press enter');
pause();
disp(' Choose point near channel head of interest')
[x,y]=ginput(1);
pOI=[x y];
% Find nearest channel head
distance=sqrt(sum(bsxfun(@minus, ch, pOI).^2,2));
chOI=ch(distance==min(distance),:);
% Build logical raster
ix=coord2ind(DEM,chOI(:,1),chOI(:,2));
IX=GRIDobj(DEM);
IX.Z(ix)=1;
[ixmat,X,Y]=GRIDobj2mat(IX);
ixmat=logical(ixmat);
IX=GRIDobj(X,Y,ixmat);
Sn=modify(S,'downstreamto',IX);
% Build composite stream network of picked streams
if ii>1
[IIXX,~,~,Si]=intersectlocs(Sc,Sn);
if isempty(IIXX)
Sn=Sn;
Sct=union(Sn,Sc,FD);
else
Sn=Si;
Sct=union(Sn,Sc,FD);
end
else
Sct=Sn;
end
figure(f1)
hold on
p1=plot(Sn,'-k','LineWidth',2);
hold off
prompt=' Is this the stream segment you wanted? Y/N [Y]: ';
str1=input(prompt,'s');
if isempty(str1)
str1 = 'Y';
Sc=Sct;
elseif strcmp(str1,'Y')==1;
Sc=Sct;
else
delete(p1);
end
end
% Calculate chi
% C=chiplot(Sn,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
C=ChiCalc(Sn,DEMc,A,1,ref_theta);
f2=figure(2);
set(f2,'Units','normalized','Position',[0.5 0.1 0.45 0.8],'renderer','painters');
clf
subplot(2,1,2);
hold on
plotdz(Sn,DEM,'dunit','km','Color',[0.5 0.5 0.5]);
plotdz(Sn,DEMc,'dunit','km','Color','k');
xlabel('Distance from Mouth (km)')
ylabel('Elevation (m)')
legend('Unconditioned DEM','Conditioned DEM','location','best');
title('Long Profile')
hold off
subplot(2,1,1);
hold on
plot(C.chi,C.elev,'-k');
scatter(C.chi,C.elev,20,'r');
xlabel('Chi')
ylabel('Elevation (m)')
title('Chi - Z : Pick Segments','Color','r')
hold off
suptitle(['Reference concavity = ' num2str(C.mn)]);
disp(' Select bounds for calculating channel steepnesses and press enter when completed')
[cv,e]=ginput;
if isempty(cv)
ksn_list=[C.x C.y C.area ones(numel(C.x),1)*C.ks ones(numel(C.x),1)*C.mn];
% Determine where ksn value fits into color scale and plot
ksn_val=C.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Sn,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Sn,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
else
% Sort knickpoint list and construct bounds list
cvs=sortrows(cv);
bnds=vertcat(0,cvs,C.chi(1));
num_bnds=numel(bnds);
rc=C.chi;
rx=C.x;
ry=C.y;
for jj=1:num_bnds-1
% disp([' Calculating segment ' num2str(jj)])
% Extract bounds
lb=bnds(jj);
rb=bnds(jj+1);
% Clip out stream segment
lb_chidist=sqrt(sum(bsxfun(@minus, rc, lb).^2,2));
rb_chidist=sqrt(sum(bsxfun(@minus, rc, rb).^2,2));
lbx=rx(lb_chidist==min(lb_chidist));
lby=ry(lb_chidist==min(lb_chidist));
rbx=rx(rb_chidist==min(rb_chidist));
rby=ry(rb_chidist==min(rb_chidist));
lix=coord2ind(DEM,lbx,lby);
LIX=GRIDobj(DEM);
LIX.Z(lix)=1;
[lixmat,X,Y]=GRIDobj2mat(LIX);
lixmat=logical(lixmat);
LIX=GRIDobj(X,Y,lixmat);
rix=coord2ind(DEM,rbx,rby);
RIX=GRIDobj(DEM);
RIX.Z(rix)=1;
[rixmat,X,Y]=GRIDobj2mat(RIX);
rixmat=logical(rixmat);
RIX=GRIDobj(X,Y,rixmat);
Seg=modify(Sn,'downstreamto',RIX);
Seg=modify(Seg,'upstreamto',LIX);
% Calculate chi to find ksn and bestfit concavity
% Cseg=chiplot(Seg,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
Cseg=ChiCalc(Seg,DEMc,A,1,ref_theta);
% Determine where ksn value fits into color scale and plot
ksn_val=Cseg.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Seg,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Seg,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
ksn_nodes{jj,1}=[Cseg.x Cseg.y Cseg.area ones(numel(Cseg.x),1)*Cseg.ks ones(numel(Cseg.x),1)*Cseg.mn];
end
ksn_list=vertcat(ksn_nodes{:});
end
ksn_master{ii,1}=ksn_list;
clear ksn_list ksn_nodes;
ii=ii+1;
prompt=' Continue picking? Y/N [Y]: ';
str2=input(prompt,'s');
if isempty(str2)
str2 = 'Y';
str1 = 'N';
elseif strcmp(str2,'Y')==1;
str1='N';
end
close figure 2
end
elseif strcmp(theta_method,'ksn')==1 && strcmp(pick_method,'stream')==1 && strcmp(junction_method,'check')==1
while strcmp(str2,'Y')==1;
while strcmp(str1,'N')==1;
disp('Zoom or pan to area of interest and then press enter');
pause();
disp(' Choose point near channel head of interest')
[x,y]=ginput(1);
pOI=[x y];
% Find nearest channel head
distance=sqrt(sum(bsxfun(@minus, ch, pOI).^2,2));
chOI=ch(distance==min(distance),:);
% Build logical raster
ix=coord2ind(DEM,chOI(:,1),chOI(:,2));
IX=GRIDobj(DEM);
IX.Z(ix)=1;
[ixmat,X,Y]=GRIDobj2mat(IX);
ixmat=logical(ixmat);
IX=GRIDobj(X,Y,ixmat);
Sn=modify(S,'downstreamto',IX);
% Build composite stream network of picked streams
if ii>1
[IIXX,~,~,Si]=intersectlocs(Sc,Sn);
if isempty(IIXX)
Sn=Sn;
Sct=union(Sn,Sc,FD);
else
Sn=Si;
Sct=union(Sn,Sc,FD);
end
else
Sct=Sn;
end
figure(f1)
hold on
p1=plot(Sn,'-k','LineWidth',2);
hold off
prompt=' Is this the stream segment you wanted? Y/N [Y]: ';
str1=input(prompt,'s');
if isempty(str1)
str1 = 'Y';
Sc=Sct;
elseif strcmp(str1,'Y')==1;
Sc=Sct;
else
delete(p1);
end
end
% Calculate chi
% C=chiplot(Sn,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
C=ChiCalc(Sn,DEMc,A,1,ref_theta);
f2=figure(2);
set(f2,'Units','normalized','Position',[0.5 0.1 0.45 0.8],'renderer','painters');
clf
subplot(2,1,1);
hold on
plot(C.chi,C.elev,'-k');
scatter(C.chi,C.elev,20,'r');
xlabel('Chi')
ylabel('Elevation (m)')
title('Chi - Z')
hold off
subplot(2,1,2);
hold on
plotdz(Sn,DEM,'dunit','km','Color',[0.5 0.5 0.5]);
plotdz(Sn,DEMc,'dunit','km','Color','k');
xlabel('Distance from Mouth (km)')
ylabel('Elevation (m)')
legend('Unconditioned DEM','Conditioned DEM','location','best');
title('Long Profile : Pick Segments','Color','r')
hold off
suptitle(['Reference concavity = ' num2str(C.mn)]);
disp(' Select bounds for calculating channel steepnesses and press enter when completed')
[d,e]=ginput;
d=d*1000; % convert back to meters;
if isempty(d)
ksn_list=[C.x C.y C.area ones(numel(C.x),1)*C.ks ones(numel(C.x),1)*C.mn];
% Determine where ksn value fits into color scale and plot
ksn_val=C.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Sn,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Sn,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
else
% Sort knickpoint list and construct bounds list
ds=sortrows(d);
bnds=vertcat(0,ds,max(Sn.distance));
num_bnds=numel(bnds);
rd=Sn.distance;
rx=Sn.x;
ry=Sn.y;
for jj=1:num_bnds-1
% disp([' Calculating segment ' num2str(jj)])
% Extract bounds
lb=bnds(jj);
rb=bnds(jj+1);
% Clip out stream segment
lb_dist=sqrt(sum(bsxfun(@minus, rd, lb).^2,2));
rb_dist=sqrt(sum(bsxfun(@minus, rd, rb).^2,2));
lbx=rx(lb_dist==min(lb_dist));
lby=ry(lb_dist==min(lb_dist));
rbx=rx(rb_dist==min(rb_dist));
rby=ry(rb_dist==min(rb_dist));
lix=coord2ind(DEM,lbx,lby);
LIX=GRIDobj(DEM);
LIX.Z(lix)=1;
[lixmat,X,Y]=GRIDobj2mat(LIX);
lixmat=logical(lixmat);
LIX=GRIDobj(X,Y,lixmat);
rix=coord2ind(DEM,rbx,rby);
RIX=GRIDobj(DEM);
RIX.Z(rix)=1;
[rixmat,X,Y]=GRIDobj2mat(RIX);
rixmat=logical(rixmat);
RIX=GRIDobj(X,Y,rixmat);
Seg=modify(Sn,'downstreamto',RIX);
Seg=modify(Seg,'upstreamto',LIX);
% Calculate chi to find ksn and bestfit concavity
% Cseg=chiplot(Seg,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
Cseg=ChiCalc(Seg,DEMc,A,1,ref_theta);
% Determine where ksn value fits into color scale and plot
ksn_val=Cseg.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Seg,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Seg,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
ksn_nodes{jj,1}=[Cseg.x Cseg.y Cseg.area ones(numel(Cseg.x),1)*Cseg.ks ones(numel(Cseg.x),1)*Cseg.mn];
end
ksn_list=vertcat(ksn_nodes{:});
end
ksn_master{ii,1}=ksn_list;
clear ksn_list ksn_nodes;
ii=ii+1;
prompt=' Continue picking? Y/N [Y]: ';
str2=input(prompt,'s');
if isempty(str2)
str2 = 'Y';
str1 = 'N';
elseif strcmp(str2,'Y')==1;
str1='N';
end
close figure 2
end
elseif strcmp(theta_method,'ksn')==1 && strcmp(pick_method,'chi')==1 && strcmp(junction_method,'ignore')==1
while strcmp(str2,'Y')==1;
while strcmp(str1,'N')==1;
disp('Zoom or pan to area of interest and then press enter');
pause();
disp(' Choose point near channel head of interest')
[x,y]=ginput(1);
pOI=[x y];
% Find nearest channel head
distance=sqrt(sum(bsxfun(@minus, ch, pOI).^2,2));
chOI=ch(distance==min(distance),:);
% Build logical raster
ix=coord2ind(DEM,chOI(:,1),chOI(:,2));
IX=GRIDobj(DEM);
IX.Z(ix)=1;
[ixmat,X,Y]=GRIDobj2mat(IX);
ixmat=logical(ixmat);
IX=GRIDobj(X,Y,ixmat);
Sn=modify(S,'downstreamto',IX);
% Build composite stream network of picked streams
if ii>1
Sct=union(Sn,Sc,FD);
else
Sct=Sn;
end
figure(f1)
hold on
p1=plot(Sn,'-k','LineWidth',2);
hold off
prompt=' Is this the stream segment you wanted? Y/N [Y]: ';
str1=input(prompt,'s');
if isempty(str1)
str1 = 'Y';
Sc=Sct;
elseif strcmp(str1,'Y')==1;
Sc=Sct;
else
delete(p1);
end
end
% Calculate chi
% C=chiplot(Sn,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
C=ChiCalc(Sn,DEMc,A,1,ref_theta);
f2=figure(2);
set(f2,'Units','normalized','Position',[0.5 0.1 0.45 0.8],'renderer','painters');
clf
subplot(2,1,2);
hold on
plotdz(Sn,DEM,'dunit','km','Color',[0.5 0.5 0.5]);
plotdz(Sn,DEMc,'dunit','km','Color','k');
xlabel('Distance from Mouth (km)')
ylabel('Elevation (m)')
legend('Unconditioned DEM','Conditioned DEM','location','best');
title('Long Profile')
hold off
subplot(2,1,1);
hold on
plot(C.chi,C.elev,'-k');
scatter(C.chi,C.elev,20,'r');
xlabel('Chi')
ylabel('Elevation (m)')
title('Chi - Z : Pick Segments','Color','r')
hold off
suptitle(['Reference concavity = ' num2str(C.mn)]);
disp(' Select bounds for calculating channel steepnesses and press enter when completed')
[cv,e]=ginput;
if isempty(cv)
ksn_list=[C.x C.y C.area ones(numel(C.x),1)*C.ks ones(numel(C.x),1)*C.mn];
% Determine where ksn value fits into color scale and plot
ksn_val=C.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Sn,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Sn,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
else
% Sort knickpoint list and construct bounds list
cvs=sortrows(cv);
bnds=vertcat(0,cvs,C.chi(1));
num_bnds=numel(bnds);
rc=C.chi;
rx=C.x;
ry=C.y;
for jj=1:num_bnds-1
% disp([' Calculating segment ' num2str(jj)])
% Extract bounds
lb=bnds(jj);
rb=bnds(jj+1);
% Clip out stream segment
lb_chidist=sqrt(sum(bsxfun(@minus, rc, lb).^2,2));
rb_chidist=sqrt(sum(bsxfun(@minus, rc, rb).^2,2));
lbx=rx(lb_chidist==min(lb_chidist));
lby=ry(lb_chidist==min(lb_chidist));
rbx=rx(rb_chidist==min(rb_chidist));
rby=ry(rb_chidist==min(rb_chidist));
lix=coord2ind(DEM,lbx,lby);
LIX=GRIDobj(DEM);
LIX.Z(lix)=1;
[lixmat,X,Y]=GRIDobj2mat(LIX);
lixmat=logical(lixmat);
LIX=GRIDobj(X,Y,lixmat);
rix=coord2ind(DEM,rbx,rby);
RIX=GRIDobj(DEM);
RIX.Z(rix)=1;
[rixmat,X,Y]=GRIDobj2mat(RIX);
rixmat=logical(rixmat);
RIX=GRIDobj(X,Y,rixmat);
Seg=modify(Sn,'downstreamto',RIX);
Seg=modify(Seg,'upstreamto',LIX);
% Calculate chi to find ksn and bestfit concavity
% Cseg=chiplot(Seg,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
Cseg=ChiCalc(Seg,DEMc,A,1,ref_theta);
% Determine where ksn value fits into color scale and plot
ksn_val=Cseg.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Seg,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Seg,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
ksn_nodes{jj,1}=[Cseg.x Cseg.y Cseg.area ones(numel(Cseg.x),1)*Cseg.ks ones(numel(Cseg.x),1)*Cseg.mn];
end
ksn_list=vertcat(ksn_nodes{:});
end
ksn_master{ii,1}=ksn_list;
clear ksn_list ksn_nodes;
ii=ii+1;
prompt=' Continue picking? Y/N [Y]: ';
str2=input(prompt,'s');
if isempty(str2)
str2 = 'Y';
str1 = 'N';
elseif strcmp(str2,'Y')==1;
str1='N';
end
close figure 2
end
elseif strcmp(theta_method,'ksn')==1 && strcmp(pick_method,'stream')==1 && strcmp(junction_method,'ignore')==1
while strcmp(str2,'Y')==1;
while strcmp(str1,'N')==1;
disp('Zoom or pan to area of interest and then press enter');
pause();
disp(' Choose point near channel head of interest')
[x,y]=ginput(1);
pOI=[x y];
% Find nearest channel head
distance=sqrt(sum(bsxfun(@minus, ch, pOI).^2,2));
chOI=ch(distance==min(distance),:);
% Build logical raster
ix=coord2ind(DEM,chOI(:,1),chOI(:,2));
IX=GRIDobj(DEM);
IX.Z(ix)=1;
[ixmat,X,Y]=GRIDobj2mat(IX);
ixmat=logical(ixmat);
IX=GRIDobj(X,Y,ixmat);
Sn=modify(S,'downstreamto',IX);
% Build composite stream network of picked streams
if ii>1
Sct=union(Sn,Sc,FD);
else
Sct=Sn;
end
figure(f1)
hold on
p1=plot(Sn,'-k','LineWidth',2);
hold off
prompt=' Is this the stream segment you wanted? Y/N [Y]: ';
str1=input(prompt,'s');
if isempty(str1)
str1 = 'Y';
Sc=Sct;
elseif strcmp(str1,'Y')==1;
Sc=Sct;
else
delete(p1);
end
end
% Calculate chi
% C=chiplot(Sn,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
C=ChiCalc(Sn,DEMc,A,1,ref_theta);
f2=figure(2);
set(f2,'Units','normalized','Position',[0.5 0.1 0.45 0.8],'renderer','painters');
clf
subplot(2,1,1);
hold on
plot(C.chi,C.elev,'-k');
scatter(C.chi,C.elev,20,'r');
xlabel('Chi')
ylabel('Elevation (m)')
title('Chi - Z')
hold off
subplot(2,1,2);
hold on
plotdz(Sn,DEM,'dunit','km','Color',[0.5 0.5 0.5]);
plotdz(Sn,DEMc,'dunit','km','Color','k');
xlabel('Distance from Mouth (km)')
ylabel('Elevation (m)')
legend('Unconditioned DEM','Conditioned DEM','location','best');
title('Long Profile : Pick Segments','Color','r')
hold off
suptitle(['Reference concavity = ' num2str(C.mn)]);
disp(' Select bounds for calculating channel steepnesses and press enter when completed')
[d,e]=ginput;
d=d*1000; % convert back to meters;
if isempty(d)
ksn_list=[C.x C.y C.area ones(numel(C.x),1)*C.ks ones(numel(C.x),1)*C.mn];
% Determine where ksn value fits into color scale and plot
ksn_val=C.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Sn,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Sn,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
else
% Sort knickpoint list and construct bounds list
ds=sortrows(d);
bnds=vertcat(0,ds,max(Sn.distance));
num_bnds=numel(bnds);
rd=Sn.distance;
rx=Sn.x;
ry=Sn.y;
for jj=1:num_bnds-1
% disp([' Calculating segment ' num2str(jj)])
% Extract bounds
lb=bnds(jj);
rb=bnds(jj+1);
% Clip out stream segment
lb_dist=sqrt(sum(bsxfun(@minus, rd, lb).^2,2));
rb_dist=sqrt(sum(bsxfun(@minus, rd, rb).^2,2));
lbx=rx(lb_dist==min(lb_dist));
lby=ry(lb_dist==min(lb_dist));
rbx=rx(rb_dist==min(rb_dist));
rby=ry(rb_dist==min(rb_dist));
lix=coord2ind(DEM,lbx,lby);
LIX=GRIDobj(DEM);
LIX.Z(lix)=1;
[lixmat,X,Y]=GRIDobj2mat(LIX);
lixmat=logical(lixmat);
LIX=GRIDobj(X,Y,lixmat);
rix=coord2ind(DEM,rbx,rby);
RIX=GRIDobj(DEM);
RIX.Z(rix)=1;
[rixmat,X,Y]=GRIDobj2mat(RIX);
rixmat=logical(rixmat);
RIX=GRIDobj(X,Y,rixmat);
Seg=modify(Sn,'downstreamto',RIX);
Seg=modify(Seg,'upstreamto',LIX);
% Calculate chi to find ksn and bestfit concavity
% Cseg=chiplot(Seg,DEMc,A,'a0',1,'mn',ref_theta,'plot',false);
Cseg=ChiCalc(Seg,DEMc,A,1,ref_theta);
% Determine where ksn value fits into color scale and plot
ksn_val=Cseg.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Seg,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Seg,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end
ksn_nodes{jj,1}=[Cseg.x Cseg.y Cseg.area ones(numel(Cseg.x),1)*Cseg.ks ones(numel(Cseg.x),1)*Cseg.mn];
end
ksn_list=vertcat(ksn_nodes{:});
end
ksn_master{ii,1}=ksn_list;
clear ksn_list ksn_nodes;
ii=ii+1;
prompt=' Continue picking? Y/N [Y]: ';
str2=input(prompt,'s');
if isempty(str2)
str2 = 'Y';
str1 = 'N';
elseif strcmp(str2,'Y')==1;
str1='N';
end
close figure 2
end
elseif strcmp(theta_method,'concavity')==1 && strcmp(pick_method,'chi')==1 && strcmp(junction_method,'check')==1
while strcmp(str2,'Y')==1;
while strcmp(str1,'N')==1;
disp('Zoom or pan to area of interest and then press enter');
pause();
disp(' Choose point near channel head of interest')
[x,y]=ginput(1);
pOI=[x y];
% Find nearest channel head
distance=sqrt(sum(bsxfun(@minus, ch, pOI).^2,2));
chOI=ch(distance==min(distance),:);
% Build logical raster
ix=coord2ind(DEM,chOI(:,1),chOI(:,2));
IX=GRIDobj(DEM);
IX.Z(ix)=1;
[ixmat,X,Y]=GRIDobj2mat(IX);
ixmat=logical(ixmat);
IX=GRIDobj(X,Y,ixmat);
Sn=modify(S,'downstreamto',IX);
% Build composite stream network of picked streams
if ii>1
[IIXX,~,~,Si]=intersectlocs(Sc,Sn);
if isempty(IIXX)
Sn=Sn;
Sct=union(Sn,Sc,FD);
else
Sn=Si;
Sct=union(Sn,Sc,FD);
end
else
Sct=Sn;
end
figure(f1)
hold on
p1=plot(Sn,'-k','LineWidth',2);
hold off
prompt=' Is this the stream segment you wanted? Y/N [Y]: ';
str1=input(prompt,'s');
if isempty(str1)
str1 = 'Y';
Sc=Sct;
elseif strcmp(str1,'Y')==1;
Sc=Sct;
else
delete(p1);
end
end
% Calculate chi and best fit concavity for display purposes
% C=chiplot(Sn,DEMc,A,'a0',1,'plot',false);
C=ChiCalc(Sn,DEMc,A,1);
f2=figure(2);
set(f2,'Units','normalized','Position',[0.5 0.1 0.45 0.8],'renderer','painters');
clf
subplot(2,1,2);
hold on
plotdz(Sn,DEM,'dunit','km','Color',[0.5 0.5 0.5]);
plotdz(Sn,DEMc,'dunit','km','Color','k');
xlabel('Distance from Mouth (km)')
ylabel('Elevation (m)')
legend('Unconditioned DEM','Conditioned DEM','location','best');
title('Long Profile')
hold off
subplot(2,1,1);
hold on
plot(C.chi,C.elev,'-k');
scatter(C.chi,C.elev,20,'r');
xlabel('Chi')
ylabel('Elevation (m)')
title('Chi - Z : Pick Segments','Color','r')
hold off
suptitle(['Best fit concavity = ' num2str(C.mn)]);
disp(' Select bounds for calculating channel steepnesses and press enter when completed')
[cv,e]=ginput;
if isempty(cv)
ksn_list=[C.x C.y C.area ones(numel(C.x),1)*C.ks ones(numel(C.x),1)*C.mn];
% Determine where ksn value fits into color scale and plot
ksn_val=C.ks;
if ksn_val > mksn;
figure(f1)
hold on
plot(Sn,'Color',KSN_col(end,:),'LineWidth',2);
hold off
else
edges=linspace(0,500,10);
n=histc(ksn_val,edges);
figure(f1)
hold on
plot(Sn,'Color',KSN_col(logical(n),:),'LineWidth',2);
hold off
end