/other/Matlab/detection/detect_fit.m
Objective C | 289 lines | 249 code | 40 blank | 0 comment | 24 complexity | a7ad0631ad0391c8d163e8552bb5c64a MD5 | raw file
Possible License(s): AGPL-1.0
- function analysis=detect_fit
- % from a copy of barker2
- disp('input data')
- % to create conus.kml:
- % download http://firemapper.sc.egov.usda.gov/data_viirs/kml/conus_hist/conus_20120914.kmz
- % and gunzip
- %
- % to create w.mat:
- % run Adam's simulation, currently results in
- % /home/akochans/NASA_WSU/wrf-fire/WRFV3/test/em_barker_moist/wrfoutputfiles_live_0.25
- % then in Matlab
- % f='wrfout_d05_2012-09-15_00:00:00';
- % t=nc2struct(f,{'Times'},{'DX','DY'}); n=size(t.times,2); w=nc2struct(f,{'TIGN_G','FXLONG','FXLAT','UNIT_FXLAT','UNIT_FXLONG'},{},n);
- % save ~/w.mat w
- %
- % to create c.mat
- % c=nc2struct(f,{'NFUEL_CAT'},{},1);
- % save ~/c.mat c
- %
- % to create s.mat:
- % s=read_wrfout_sel({'wrfout_d05_2012-09-09_00:00:00','wrfout_d05_2012-09-12_00:00:00','wrfout_d05_2012-09-15_00:00:00'},{'FGRNHFX'});
- % save ~/s.mat s
- %
- % fuels.m is created by WRF-SFIRE at the beginning of the run
-
- % ****** REQUIRES Matlab 2013a - will not run in earlier versions *******
-
-
- conus = input_num('0 for viirs, 1 for modis',0);
- if conus==0,
- v=read_fire_kml('conus_viirs.kml');
- detection='VIIRS';
- elseif conus==1,
- v=read_fire_kml('conus_modis.kml');
- detection='MODIS';
- else
- error('need kml file')
- end
-
- a=load('w');w=a.w;
- if ~isfield('dx',w),
- w.dx=444.44;
- w.dy=444.44;
- warning('fixing up w for old w.mat file from Barker fire')
- end
-
- a=load('s');s=a.s;
- a=load('c');c=a.c;
- fuel.weight=0; % just to let Matlab know what fuel is going to be at compile time
- fuels
- disp('subset and process inputs')
-
- % establish boundaries from simulations
-
- min_lat = min(w.fxlat(:))
- max_lat = max(w.fxlat(:))
- min_lon = min(w.fxlong(:))
- max_lon = max(w.fxlong(:))
- min_tign= min(w.tign_g(:))
-
- default_bounds{1}=[min_lon,max_lon,min_lat,max_lat];
- default_bounds{2}=[-119.5, -119.0, 47.95, 48.15];
- display_bounds=default_bounds{2};
- for i=1:length(default_bounds),fprintf('default bounds %i: %8.5f %8.5f %8.5f %8.5f\n',i,default_bounds{i});end
-
- bounds=input_num('bounds [min_lon,max_lon,min_lat,max_lat] or number of bounds above',1);
- if length(bounds)==1, bounds=default_bounds{bounds}; end
- [ii,jj]=find(w.fxlong>=bounds(1) & w.fxlong<=bounds(2) & w.fxlat >=bounds(3) & w.fxlat <=bounds(4));
- ispan=min(ii):max(ii);
- jspan=min(jj):max(jj);
-
- % restrict data
- w.fxlat=w.fxlat(ispan,jspan);
- w.fxlong=w.fxlong(ispan,jspan);
- w.tign_g=w.tign_g(ispan,jspan);
- c.nfuel_cat=c.nfuel_cat(ispan,jspan);
-
- min_lat = min(w.fxlat(:))
- max_lat = max(w.fxlat(:))
- min_lon = min(w.fxlong(:))
- max_lon = max(w.fxlong(:))
- min_lon = display_bounds(1);
- max_lon = display_bounds(2);
- min_lat = display_bounds(3);
- max_lat = display_bounds(4);
-
- min_tign= min(w.tign_g(:))
-
- % rebase time on the largest tign_g = the time of the last frame, in days
-
- last_time=datenum(char(w.times)');
- max_tign_g=max(w.tign_g(:));
-
- tim_all = v.tim - last_time;
- tign= (w.tign_g - max_tign_g)/(24*60*60); % now tign is in days
- min_tign= min(tign(:)); % initial ignition time
- tign_disp=tign;
- tign_disp(tign==0)=NaN; % for display
-
- % select fire detection within the domain and time
- bii=(v.lon > min_lon & v.lon < max_lon & v.lat > min_lat & v.lat < max_lat);
-
- tim_in = tim_all(bii);
- u_in = unique(tim_in);
- fprintf('detection times from first ignition\n')
- for i=1:length(u_in)
- detection_freq(i)=sum(tim_in==u_in(i));
- fprintf('%8.5f days %s UTC %3i %s detections\n',u_in(i)-min_tign,...
- datestr(u_in(i)+last_time),detection_freq(i),detection);
- end
- [max_freq,i]=max(detection_freq);
- tol=0.01;
- detection_bounds=input_num('detection bounds as [upper,lower]',...
- [u_in(i)-min_tign-tol,u_in(i)-min_tign+tol]);
- bi = bii & detection_bounds(1) + min_tign <= tim_all ...
- & tim_all <= detection_bounds(2) + min_tign;
- % now detection selected in time and space
- lon=v.lon(bi);
- lat=v.lat(bi);
- res=v.res(bi);
- tim=tim_all(bi);
- tim_ref = mean(tim);
-
- fprintf('%i detections selected\n',sum(bi))
- detection_days_from_ignition=tim_ref-min_tign;
- detection_datestr=datestr(tim_ref+last_time);
- fprintf('mean detection time %g days from ignition %s UTC\n',...
- detection_days_from_ignition,detection_datestr);
- fprintf('days from ignition min %8.5f max %8.5f\n',min(tim)-min_tign,max(tim)-min_tign);
- fprintf('longitude min %8.5f max %8.5f\n',min(lon),max(lon));
- fprintf('latitude min %8.5f max %8.5f\n',min(lat),max(lat));
-
- % detection selected in time and space
- lon=v.lon(bi);
- lat=v.lat(bi);
- res=v.res(bi);
- tim=tim_all(bi);
- % set up reduced resolution plots
- [m,n]=size(w.fxlong);
- m_plot=m; n_plot=n;
-
- m1=map_index(display_bounds(1),bounds(1),bounds(2),m);
- m2=map_index(display_bounds(2),bounds(1),bounds(2),m);
- n1=map_index(display_bounds(3),bounds(3),bounds(4),n);
- n2=map_index(display_bounds(4),bounds(3),bounds(4),n);
- mi=m1:ceil((m2-m1+1)/m_plot):m2; % reduced index vectors
- ni=n1:ceil((n2-n1+1)/n_plot):n2;
- mesh_fxlong=w.fxlong(mi,ni);
- mesh_fxlat=w.fxlat(mi,ni);
- [mesh_m,mesh_n]=size(mesh_fxlat);
- % find ignition point
- [i_ign,j_ign]=find(w.tign_g == min(w.tign_g(:)));
- if length(i_ign)~=1,error('assuming single ignition point here'),end
-
- % set up constraint on ignition point being the same
- Constr_ign = zeros(m,n); Constr_ign(i_ign,j_ign)=1;
- detection_mask=zeros(m,n);
- detection_time=tim_ref*ones(m,n);
- % resolution diameter in longitude/latitude units
- rlon=0.5*res/w.unit_fxlong;
- rlat=0.5*res/w.unit_fxlat;
- lon1=lon-rlon;
- lon2=lon+rlon;
- lat1=lat-rlat;
- lat2=lat+rlat;
- for i=1:length(lon),
- square = w.fxlong>=lon1(i) & w.fxlong<=lon2(i) & ...
- w.fxlat >=lat1(i) & w.fxlat <=lat2(i);
- detection_mask(square)=1;
- end
- C=0.5*ones(1,length(res));
- X=[lon-rlon,lon+rlon,lon+rlon,lon-rlon]';
- Y=[lat-rlat,lat-rlat,lat+rlat,lat+rlat]';
- plotstate(1,detection_mask,['Fire detection at ',detection_datestr],[])
- % add ignition point
- hold on, plot(w.fxlong(i_ign,j_ign),w.fxlat(i_ign,j_ign),'xw'); hold off
- % legend('first ignition at %g %g',w.fxlong(i_ign,j_ign),w.fxlat(i_ign,j_ign))
-
- fuelweight(length(fuel)+1:max(c.nfuel_cat(:)))=NaN;
- for j=1:length(fuel),
- fuelweight(j)=fuel(j).weight;
- end
- W = zeros(m,n);
- for j=1:n, for i=1:m
- W(i,j)=fuelweight(c.nfuel_cat(i,j));
- end,end
-
- plotstate(2,W,'Fuel weight',[])
-
- disp('optimization loop')
- h =zeros(m,n); % initial increment
- plotstate(3,tign,'Forecast fire arrival time',detection_time(1));
- for istep=1:5
-
- % can change the objective function here
- alpha=input_num('penalty coefficient alpha, <0 to end',1e-2);
- if alpha<0, break, end
- % TC = W/(900*24); % time constant = fuel gone in one hour
- TC = 1/24; % detection time constants in hours
- stretch=input_num('Tmin,Tmax,Tneg,Tpos',[0.5,10,5,10]);
- nodetw=input_num('no fire detection weight',0.1);
- power=input_num('negative laplacian power',0.51);
-
- psi = detection_mask - nodetw*(1-detection_mask);
- [Js,search]=objective(tign,h);
- search = -search/big(search); % initial search direction
- plotstate(4,search,'Search direction',0);
- h=zeros(m,n); % initial increment
- stepsize=0;
- % initial estimate of stepsize
- last_stepsize = 3;
- for i=2:100 % crude manual line search
- s=input_num('step size',last_stepsize);
- stepsize(i)=s;
- last_stepsize=s;
- plotstate(5,tign+h+last_stepsize*search,'Line search',detection_time(1));
- [Js(i),delta]=objective(tign,h+last_stepsize*search,'noplot');
- c=input_num('try another step size: 0/1',1)
- if c==0, break, end
- end
- h = h + last_stepsize*search;
- plotstate(6,tign+h,sprintf('Analysis descent iteration %i',istep),detection_time(1));
- end
- disp('converting analysis fire arrival time from days with zero at the end of the fire to original scale')
- analysis=max_tign_g+(24*60*60)*(tign+h);
- disp('input the analysis as tign in WRF-SFIRE with fire_perimeter_time=detection time')
- function [J,delta]=objective(tign,h,noplot)
- % compute objective function and optionally ascent direction
- T=tign+h;
- [f0,f1]=like1(psi,detection_time-T,TC*stretch);
- F = f1; % forcing
- % objective function and preconditioned gradient
- Ah = poisson_fft2(h,[w.dx,w.dy],1);
- J = alpha*0.5*(h(:)'*Ah(:)) - ssum(psi.*f0)/(m*n);
- fprintf('Objective function J=%g\n',J);
- gradJ = alpha*Ah + F;
- if ~exist('noplot','var'),
- plotstate(7,f0,'Detection likelihood',0.5,'-w');
- plotstate(8,f1,'Detection likelihood derivative',0);
- plotstate(9,F,'Forcing',0);
- plotstate(10,gradJ,'gradient of J',0);
- end
- delta = solve_saddle(Constr_ign,h,F,0,@(u) poisson_fft2(u,[w.dx,w.dy],-power)/alpha);
- % plotstate(11,delta,'Preconditioned gradient',0);
- fprintf('norm(grad(J))=%g norm(delta)=%g\n',norm(gradJ,'fro'),norm(delta,'fro'))
- end
- function plotstate(fig,T,s,c,linespec)
- fprintf('Figure %i %s\n',fig,s)
- plotmap(fig,mesh_fxlong,mesh_fxlat,T(mi,ni),' ');
- hold on
- hh=fill(X,Y,C,'EdgeAlpha',1,'FaceAlpha',0);
- if ~exist('c','var') || isempty(c) || isnan(c),
- title(s);
- else
- title(sprintf('%s, contour=%g',s,c(1)))
- if ~exist('linespec','var'),
- linespec='-k';
- end
- contour(mesh_fxlong,mesh_fxlat,T(mi,ni),[c c],linespec)
- end
- hold off
- ratio=[w.unit_fxlat,w.unit_fxlong];
- xlabel longtitude
- ylabel latitude
- ratio=[ratio/norm(ratio),1];
- daspect(ratio)
- axis tight
- drawnow
- end
- end % detect_fit
- function i=map_index(x,a,b,n)
- % find image of x under linear map [a,b] -> [1,m]
- % and round to integer
- i=round(1+(n-1)*(x-a)/(b-a));
- end