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lstfusion.pro
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;Initial code for LST
;see https://www.harrisgeospatial.com/docs/image_goes16.html
; see https://www.goes-r.gov/users/docs/PUG-L1b-vol3.pdf
PRO ch_readgoes
indir = '/air/incoming/CHEESEHEAD/goes/lst_grids/'
outdir = '/air/adesai/cheesehead/lstfusion/'
stub = 'OR_ABI-L2-LSTC-M6_G16_s2019'
;DDDHH
;152 to 304
doys = numgen(152,304)
outlat = numgen(46.1,45.8,n=30)
outlon = numgen(-90.5,-90,n=30)
lsts_i = make_array(n_elements(doys),24,n_elements(outlon),n_elements(outlat),/float,value=nan())
FOR d = 0,n_elements(doys)-1 DO BEGIN
thedoy = doys[d]
doystr = string(thedoy,format='(i3.3)')
FOR h = 0,23 DO BEGIN
hrstr = string(h,format='(i2.2)')
files = file_search(indir+stub+doystr+hrstr+'*.nc',count=nc)
IF nc GT 0 THEN BEGIN
print,'Reading day '+doystr+' Hour '+hrstr
file = files[0]
data = NCDF_Parse(file, /READ_DATA)
lst = data['LST','_DATA']
dqf = data['DQF','_DATA']
badlst = where(dqf NE 0,nbl)
IF nbl GT 0 THEN lst[badlst] = nan()
lst = screen_arr(lst,200,400)
IF d EQ 0 AND h EQ 0 THEN BEGIN
x = data['x','_DATA']
y = data['y','_DATA']
center_lon = data['geospatial_lat_lon_extent','geospatial_lon_nadir', '_DATA']
proj = map_proj_init('GOES-R',CENTER_LONGITUDE=center_lon)
lats = make_array(n_elements(x),n_elements(y),/float,value=nan())
lons = lats
lsts = make_array(n_elements(doys),24,n_elements(x),n_elements(y),/float,value=nan())
FOR i = 0,n_elements(x)-1 DO BEGIN
FOR j = 0,n_elements(y)-1 DO BEGIN
ll = map_proj_inverse(x[i],y[j],map_structure=proj)
lats[i,j] = ll[1]
lons[i,j] = ll[0]
ENDFOR
ENDFOR
lons2=lons
lats2=lats
triangulate,lons2,lats2,ltri,sphere=lsph,/degrees
ENDIF
lsts[d,h,*,*] = lst
IF nbl LT 180 THEN BEGIN
print,' Good data ',180-nbl,' interpolating!'
lst2 = lst
FOR i = 0,n_elements(lons2[*,0])-1 DO FOR j=0,n_elements(lats2[0,*])-1 DO lst2[i,j] = lst[where(lons EQ lons2[i,j] AND lats EQ lats2[i,j])]
ltest = griddata(lons2,lats2,lst2,triangles=ltri,/sphere,/grid,xout=outlon,yout=outlat,method='NearestNeighbor',/degrees)
lsts_i[d,h,*,*] = ltest
ENDIF
ENDIF ELSE BEGIN
print,'Skipping day '+doystr+' Hour '+hrstr
ENDELSE
ENDFOR
ENDFOR
save,lsts,lsts_i,lats,lons,outlat,outlon,ltri,lsph,lons2,lats2,doys,filename=outdir+'goes_lst.sav'
END
PRO ch_getnldas
doys = expand_arr(numgen(275,304),24)
doystr = string(doys,format='(i3.3)')
yyyymmdd = jd_to_dy(doystr,y=2019)
hhmm = replicate_arr(string(numgen(0,23),format='(i2.2)')+'00',30)
noah = 'https://hydro1.gesdisc.eosdis.nasa.gov/daac-bin/OTF/HTTP_services.cgi?FILENAME=%2Fdata%2FNLDAS%2FNLDAS_NOAH0125_H.002%2F2019%2F'+doystr+'%2FNLDAS_NOAH0125_H.A'+yyyymmdd+'.'+hhmm+'.002.grb&FORMAT=bmM0Lw&BBOX=25%2C-125%2C53%2C-67&LABEL=NLDAS_NOAH0125_H.A'+yyyymmdd+'.'+hhmm+'.002.grb.SUB.nc4&SHORTNAME=NLDAS_NOAH0125_H&SERVICE=L34RS_LDAS&VERSION=1.02&DATASET_VERSION=002'
mosaic = 'https://hydro1.gesdisc.eosdis.nasa.gov/daac-bin/OTF/HTTP_services.cgi?FILENAME=%2Fdata%2FNLDAS%2FNLDAS_MOS0125_H.002%2F2019%2F'+doystr+'%2FNLDAS_MOS0125_H.A'+yyyymmdd+'.'+hhmm+'.002.grb&FORMAT=bmM0Lw&BBOX=25%2C-125%2C53%2C-67&LABEL=NLDAS_MOS0125_H.A'+yyyymmdd+'.'+hhmm+'.002.grb.SUB.nc4&SHORTNAME=NLDAS_MOS0125_H&SERVICE=L34RS_LDAS&VERSION=1.02&DATASET_VERSION=002'
vic = 'https://hydro1.gesdisc.eosdis.nasa.gov/daac-bin/OTF/HTTP_services.cgi?FILENAME=%2Fdata%2FNLDAS%2FNLDAS_VIC0125_H.002%2F2019%2F'+doystr+'%2FNLDAS_VIC0125_H.A'+yyyymmdd+'.'+hhmm+'.002.grb&FORMAT=bmM0Lw&BBOX=25%2C-125%2C53%2C-67&LABEL=NLDAS_VIC0125_H.A'+yyyymmdd+'.'+hhmm+'.002.grb.SUB.nc4&SHORTNAME=NLDAS_VIC0125_H&SERVICE=L34RS_LDAS&VERSION=1.02&DATASET_VERSION=002'
openw,fl,'/air/incoming/CHEESEHEAD/nldas/url_oct.txt',/get_lun
printf,fl,noah,format='(a0)'
printf,fl,mosaic,format='(a0)'
printf,fl,vic,format='(a0)'
free_lun,fl
END
;step 2
;read nldas, interpolate to 30x30, single array
PRO ch_nldas,doys=doys,hrs=hrs,outlat=outlat,outlon=outlon,output=output,nosave=nosave
outdir = '/air/adesai/cheesehead/lstfusion/'
indir = '/air/incoming/CHEESEHEAD/nldas/'
models = ['mosaic/','noah/','vic/']
modstr = ['MOS','NOAH','VIC']
;NLDAS_VIC0125_H.A20190711.0800.002.grb.SUB.nc4
IF n_elements(doys) EQ 0 THEN doys = numgen(152,304)
IF n_elements(hrs) EQ 0 THEN hrs = findgen(24)
IF n_elements(outlat) EQ 0 THEN outlat = numgen(46.1,45.8,n=30)
IF n_elements(outlon) EQ 0 THEN outlon = numgen(-90.5,-90,n=30)
avsft_i = make_array(n_elements(doys),n_elementS(hrs),n_elements(outlon),n_elements(outlat),3,/float,value=nan())
FOR d = 0,n_elements(doys)-1 DO BEGIN
thedoy = doys[d]
doystr = jd_to_dy(thedoy,y=2019)
dstr = string(thedoy,format='(i3.3)')
print,'NLDAS day '+doystr
FOR hh = 0,n_elements(hrs)-1 DO BEGIN
h = hrs[hh]
hrstr = string(h,format='(i2.2)')
FOR m = 0,2 DO BEGIN
IF thedoy GE 275 AND m EQ 2 THEN BEGIN
fname = indir+models[m]+'NLDAS_'+modstr[m]+'0125_H.A'+dstr+'.'+hrstr+'00.002.grb.SUB.nc4'
ENDIF ELSE BEGIN
fname = indir+models[m]+'NLDAS_'+modstr[m]+'0125_H.A'+doystr+'.'+hrstr+'00.002.grb.SUB.nc4'
ENDELSE
files = file_search(fname,count=nc)
IF nc GT 0 THEN BEGIN
file = files[0]
nc = ncdf_open(file)
IF d EQ 0 AND hh EQ 0 THEN BEGIN
ncdf_varget,nc,'lat',lat
ncdf_varget,nc,'lon',lon
ENDIF
ncdf_varget,nc,'AVSFT',avsft
ncdf_close,nc
avsft = screen_arr(avsft,200,400)
FOR i = 0,n_elements(outlon)-1 DO FOR j = 0,n_elements(outlat)-1 DO avsft_i[d,hh,i,j,m] = avsft[closest(lon,outlon[i]),closest(lat,outlat[j])]
;lon, lat, avsft, radt
;others: nswrs, nlwrs, lhtfl, shtfl,
;gflux, dswrf, dlwrf, albdo, tsoil,
;soilm, rzsm, trans, lai,
ENDIF ELSE BEGIN
print,'NO file found'
stop
ENDELSE
ENDFOR
ENDFOR
ENDFOR
output = reform(avsft_i)
IF ~keyword_set(nosave) THEN save,avsft_i,filename=outdir+'nldas_lst.sav'
;stop
;calc mean and stddev
;linfit with measure_error?
;mosaic noah vic
;mosaic: NLDAS_MOS0125_H.A20190601.0000.002.grb.SUB.nc4
;time lon lat AVSFT = LST
;starts 6/1 ends 10/1
;doys 152 to 304
;need to get Oct someday
;vic NLDAS_VIC0125_H.A20190711.1600.002.grb.SUB.nc4
;noah NLDAS_NOAH0125_H.A20190711.1600.002.grb.SUB.nc4
;for each day, read all hours, get AVSFT for CHEAD grids
;regrid 30x30
;save
END
PRO ch_goesgapfill
;read goes and nldas grids
;for each pixel, do a linear fit to average + stddev (as error)
outdir = '/air/adesai/cheesehead/lstfusion/'
restore,outdir+'goes_lst.sav'
restore,outdir+'nldas_lst.sav'
avsft_m = total(avsft_i,5,/nan)/total(finite(avsft_i),5)
avsft_s = stddev(avsft_i,dim=5)
lsts_g = lsts_i
nlfix = lsts_i
nlfix[*] = nan()
nlb = reform(nlfix[0,*,*,*])
nlm = nlb
FOR i = 0,29 DO BEGIN
print,'Column ',i
FOR j = 0,29 DO BEGIN
FOR k = 0,23 DO BEGIN
goes = lsts_i[*,k,i,j]
nldas = avsft_m[*,k,i,j]
nldas_s = avsft_s[*,k,i,j]
gv = where(finite(goes))
bias = mean(goes[gv]-nldas[gv])
nldas += bias
fitexy,nldas[gv],goes[gv],b,m,x_sigma=nldas_s[gv],y_sigma=1.0
nldas_fix = m * nldas + b
lsts_g[*,k,i,j] = merge_array(goes,nldas_fix)
nlfix[*,k,i,j] = nldas_fix
nlm[k,i,j] = m
nlb[k,i,j] = b
ENDFOR
ENDFOR
ENDFOR
save,nlfix,nlm,nlb,filename=outdir+'goesfuse_lst_stats.sav'
stop
save,lsts_g,filename=outdir+'goesfuse_lst.sav'
stop
k = reform(transpose(lsts_g,[1,0,2,3]),3672,30,30)
set_plot,'Z'
!order=1
!x.style=1
!y.style=1
!p.background=255
!p.color=0
doystr = string(doys,format='(i3.3)')
yyyymmdd = expand_arr(jd_to_dy(doystr,y=2019),24)
hhmm = replicate_arr(string(numgen(0,23),format='(i2.2)')+'00',153)
for i = 0,3671 do begin
tvplot,k[i,*,*],zrange=[250,310],xrange=[outlon[0],outlon[29]],yrange=[outlat[29],outlat[0]],title='Date: '+yyyymmdd[i]+' Hour: '+hhmm[i]
;add locations of towers (xyouts)
o = tvrd()
l[i,*,*]=o
endfor
write_mp4,reverse(l[*,*,*],3),'/home/adesai/test5.mp4',fps=24
set_plot,'X'
stop
END
PRO ch_ecostressproc
;for each ecostress image, read file and cloud mask
;process cloud mask
;nearest neighbor resample to UTM
;apply mask
;write out 1000x1000
;ECOSTRESS tie point
;-90.500337233322497, 46.100231255142141
;0.00062977741696699997, 0.00062977741696699997
;794 by 477
edir = '/air/incoming/CHEESEHEAD/ecostress/lst/'
cdir = '/air/incoming/CHEESEHEAD/ecostress/cloud/'
infile = 'ECO2LSTE.001_SDS_LST_doy2019267004844_aid0001.tif'
qcfile = 'ECO2LSTE.001_SDS_QC_doy2019267004844_aid0001.tif'
infile2 = 'ECO2LSTE.001_SDS_LST_doy2019267053924_aid0001.tif'
; clfile = 'ECO2CLD.001_SDS_CloudMask_doy2019267004844_aid0001.tif'
openw,lf,'/air/adesai/cheesehead/lstfusion/inputs/ecostreslog.txt',/get_lun
clf = file_search(cdir+'ECO2CLD.001_SDS_CloudMask_doy*.tif',count=nc)
FOR i = 0,nc-1 DO BEGIN
clfile = clf[i]
doystr = (reverse(strsplit(clf[i],'_',/extract)))[1]
efile = edir+'ECO2LSTE.001_SDS_LST_'+doystr+'_aid0001.tif'
IF file_test(efile,/read) THEN BEGIN
print,'Found match for ',doystr
eco = read_tiff(efile,geotiff=gtf)
eco*=0.02
eco = screen_Arr(eco,200,400)
geco = where(finite(eco),ngeco)
teco = ngeco/float(n_elements(eco))
IF teco GT 0.66 THEN BEGIN
eco_cl = read_tiff(clfile,geotiff=gtf2)
clbit = bytarr(n_elements(eco_cl[*,0]),n_elements(eco_Cl[0,*]))
; clbit1 = clbit
clbit7 = clbit
FOR cl = 0,n_elements(eco_cl[*])-1 DO BEGIN
IF eco_cl[cl] NE -999 THEN BEGIN
clbits = bytebin(eco_cl[cl])
clbit[cl] = clbits[5] ;final cl (thisone)
ENDIF ELSE clbit7[clbit] = 1 ;missing
ENDFOR
percloud = total(clbit)/float(n_elements(clbit)-total(clbit7))
print,' Percent cloud is: ',percloud*100.
IF percloud LT 0.5 THEN BEGIN
outlat = numgen(46.1,45.8,n=600)
outlon = numgen(-90.5,-90,n=600)
ecoout = make_Array(n_elements(outlon),n_elements(outlat),/float,value=nan())
ecoout_cl = make_Array(n_elements(outlon),n_elements(outlat),/byte,value=0)
eco_GT = gtf.modeltiepointtag[3:4]
eco_cl_GT = gtf2.modeltiepointtag[3:4]
eco_sl = gtf.modelpixelscaletag[0:1]
eco_cl_sl = gtf2.modelpixelscaletag[0:1]
eco_X = n_elements(eco[*,0])
eco_y = n_elements(eco[0,*])
eco_cl_X = n_elements(clbit[*,0])
eco_cl_y = n_elements(clbit[0,*])
inlon = eco_GT[0]+eco_sl[0]*findgen(eco_x)
inlat = eco_GT[1]-eco_sl[1]*findgen(eco_y)
FOR y = 0,n_elements(outlat)-1 DO BEGIN
FOR x = 0,n_elements(outlon)-1 DO BEGIN
ecoout[x,y] = eco[closest(inlon,outlon[x]),closest(inlat,outlat[y])]
ecoout_cl[x,y] = clbit[closest(inlon,outlon[x]),closest(inlat,outlat[y])]
ENDFOR
ENDFOR
ecoout[where(ecoout_cl)]=nan()
ecoout *= 10
beco = where(~finite(ecoout),nbe)
totgood = string((1.-nbe/360000.)*100,format='(f0.1)')
IF nbe GT 0 THEN ecoout[beco]=-9999
ecoout = fix(ecoout)
outfile = '/air/adesai/cheesehead/lstfusion/inputs/ecostress_'+strmid(doystr,3,4)+'_'+strmid(doystr,7,3)+'_'+strmid(doystr,10,2)+'.dat'
print,'Writing ',outfile
openw,fl,outfile,/get_lun
writeu,fl,ecoout
free_lun,fl
printf,lf,'ecostress_'+strmid(doystr,3,4)+'_'+strmid(doystr,7,3)+'_'+strmid(doystr,10,2)+'.dat goodval: '+totgood+'%'
ENDIF
ENDIF
ENDIF ELSE BEGIN
print,'No match found, sad'
ENDELSE
ENDFOR
free_lun,lf
END
FUNCTION ch_readfusion,lat,lon,sday=sday,eday=eday,goes=goes,doys=doys,hrs=hrs,transect=transect,version=version
;for each lat lon, find closest, read time series from sday to eday
;if arg_present(goes) also read in that one
;point_lun for each lat/lon
IF n_elements(sday) EQ 0 THEN sday = 152
IF n_elements(eday) EQ 0 THEN eday = 304
IF n_elements(version) EQ 0 THEN vdir = '' ELSE vdir = version + '/'
ndays = eday-sday+1
ntms = ndays * 24
IF ~keyword_set(transect) THEN BEGIN
doys = expand_arr(numgen(sday,eday),24)
hrs = replicate_arr(findgen(24),ndays)
ENDIF ELSE BEGIN
npts = min([n_elements(lat),n_elements(lon),n_elements(doys),n_elements(hrs)])
ENDELSE
IF n_elements(lat) NE n_elements(lon) THEN BEGIN
print,'Lat and lon not same number of points'
ENDIF
outlat = numgen(46.1,45.8,n=600)
outlon = numgen(-90.5,-90,n=600)
clat = closest(outlat,lat)
clon = closest(outlon,lon)
locs = (clon*600+clat)*2
npts = n_elements(locs)
IF arg_present(goes) THEN BEGIN
;read goes and extract here
glat = numgen(46.1,45.8,n=30)
glon = numgen(-90.5,-90,n=30)
glat1 = closest(glat,lat)
glon1 = closest(glon,lon)
gdir = '/air/adesai/cheesehead/lstfusion/'
restore,gdir+'goesfuse_lst.sav'
lsts = reform(transpose(lsts_g,[1,0,2,3]),3672,30,30)
IF keyword_set(transect) THEN BEGIN
glocs = (doys-152)*24l + fix(hrs)
lsts = lsts[glocs,*,*]
goes = make_Array(npts,/float,value=nan())
FOR l = 0,npts-1 DO goes[l] = lsts[l,glon1[l],glat1[l]]
ENDIF ELSE BEGIN
gloc1 = (sday-152)*24l
gloc2 = (eday-152)*24l+23
lsts = lsts[gloc1:gloc2,*,*]
goes = make_array(npts,ntms,/float,value=nan())
FOR l = 0,npts-1 DO goes[l,*] = lsts[*,glon1[l],glat1[l]]
ENDELSE
ENDIF
IF keyword_set(transect) THEN outarr = make_array(npts,/float,value=nan()) ELSE outarr = make_Array(npts,ntms,/float,value=nan())
fdir = '/air/adesai/cheesehead/lstfusion/outputs/'+vdir+'fuse_2019_' ;DDD_HH.dat
fname = ''
get_lun,fl
IF keyword_set(transect) THEN BEGIN
FOR l = 0,npts-1 DO BEGIN
doy = string(doys[l],format='(i3.3)')
hh = string(hrs[l],format='(i2.2)')
oldfname = fname
fname = fdir + doy + '_' + hh + '.dat'
IF fname NE oldfname THEN BEGIN
free_lun,fl
openr,fl,fname,/get_lun
oldfname = fname
ENDIF
point_lun,fl,locs[l]
dum = fix(0)
readu,fl,dum
outarr[l] = dum
ENDFOR
free_lun,fl
ENDIF ELSE BEGIN
FOR d = sday,eday DO BEGIN
doy = string(d,format='(i3.3)')
FOR h = 0,23 DO BEGIN
outloc = (d-sday)*24l+h
hh = string(h,format='(i2.2)')
fname = fdir + doy + '_' + hh + '.dat'
openr,fl,fname,/get_lun
FOR l = 0,npts-1 DO BEGIN
point_lun,fl,locs[l]
dum = fix(0)
readu,fl,dum
outarr[l,outloc] = dum
ENDFOR
free_lun,fl
ENDFOR
ENDFOR
ENDELSE
bv = where(outarr EQ -9999,nbv)
IF nbv GT 0 THEN outarr[bv] = nan()
outarr/=10.
return,outarr
END
PRO ch_reproject_coord
glat = numgen(46.1,45.8,n=600)
glon = numgen(-90.5,-90,n=600)
geast = numgen(694300,731600,50)
gnorth = reverse(numgen(5075900,5109300,50))
glons = replicate_arr(glon,n_elements(glat))
glats = expand_arr(glat,n_elements(glon))
geasts = replicate_arr(geast,n_elements(gnorth))
gnorths = expand_arr(gnorth,n_elements(geast))
locs = make_array(n_elements(geast),n_elements(gnorth),/long,value=-1)
PI = 3.14159265D
FOURTHPI = PI / 4
deg2rad = PI / 180.0D
rad2deg = 180.0D / PI
ReferenceEllipsoid = 'wgs84'
k0 = 0.9996D
a = (ellip(ReferenceEllipsoid))[0] ;EquatorialRadius
eccSquared = (ellip(ReferenceEllipsoid))[1] ;eccentricitySquared
e1 = ((1.0D)-sqrt((1.0D)-eccSquared))/((1.0D)+sqrt((1.0D)-eccSquared))
x = double(geasts) - (500000.0D) ;remove 500,000 meter offset for longitude
y = double(gnorths)
UTMZone = '15N'
UZ = strupcase(strtrim(strcompress(UTMZone,/remove_all),2))
ZoneNumber = long(UZ)
ZoneLetter = strmid(UZ,strlen(UZ)-1,1)
NorthernHemisphere = 1
LongOrigin = (double(ZoneNumber) - (1.0D))*(6.0D) - (180.0D) + (3.0D) ;+3 puts origin in middle of zone
eccPrimeSquared = (eccSquared)/((1.0D)-eccSquared)
M = y / k0
mu = M/(a*((1.0D)-eccSquared/(4.0D)-(3.0D)*eccSquared*eccSquared/(64.0D)-(5.0D)*eccSquared*eccSquared*eccSquared/(256.0D)))
phi1Rad = mu+((3.0D)*e1/(2.0D)-(27.0D)*e1*e1*e1/(32.0D))*sin((2.0D)*mu)+((21.0D)*e1*e1/(16.0D)-(55.0D)*e1*e1*e1*e1/(32.0D))*sin((4.0D)*mu)+((151.0D)*e1*e1*e1/(96.0D))*sin((6.0D)*mu)
phi1 = phi1Rad*rad2deg
N1 = a/sqrt((1.0D)-eccSquared*sin(phi1Rad)*sin(phi1Rad))
T1 = tan(phi1Rad)*tan(phi1Rad)
C1 = eccPrimeSquared*cos(phi1Rad)*cos(phi1Rad)
R1 = a*((1.0D)-eccSquared)/ (((1.0D)-eccSquared*sin(phi1Rad)*sin(phi1Rad))^(1.5D))
D = x/(N1*k0)
Lat = phi1Rad-(N1*tan(phi1Rad)/R1)*(D*D/(2.0D)-((5.0D)+(3.0D)*T1+(10.0D)*C1-(4.0D)*C1*C1-(9.0D)*eccPrimeSquared)*D*D*D*D/(24.0D)+((61.0D)+(90.0D)*T1+(298.0D)*C1+(45.0D)*T1*T1-(252.0D)*eccPrimeSquared-(3.0D)*C1*C1)*D*D*D*D*D*D/(720.0D))
Lat = Lat * rad2deg
Long = (D-((1.0D)+(2.0D)*T1+C1)*D*D*D/(6.0D)+((5.0D)-(2.0D)*C1+(28.0D)*T1-(3.0D)*C1*C1+(8.0D)*eccPrimeSquared+(24.0D)*T1*T1)*D*D*D*D*D/(120.0D))/cos(phi1Rad)
Long = LongOrigin + Long * rad2deg
;create geast/gnorth grid
FOR l = 0,n_elements(locs)-1 DO BEGIN
clox = closest(glon,long[l])
cloy = closest(glat,lat[l])
locs[l] = clox+cloy*n_elements(glon)
ENDFOR
save,geast,gnorth,geasts,gnorths,glat,glon,glats,glons,locs,filename='/air/adesai/cheesehead/lstfusion/coords.sav'
END
PRO ch_reproject_write,doy,hr,ascii=ascii,version=version
;read in day/hour
;write out reprojects
restore,'/air/adesai/cheesehead/lstfusion/coords.sav'
IF n_elements(version) EQ 0 THEN vdir = '' ELSE vdir = version + '/'
fdir = '/air/adesai/cheesehead/lstfusion/outputs/'+vdir+'fuse_2019_'+string(doy,format='(i3.3)')+'_'+string(hr,format='(i2.2)')+'.dat'
odir = '/air/adesai/cheesehead/lstfusion/outputs/'+vdir+'utm/fuse_2019_'+string(doy,format='(i3.3)')+'_'+string(hr,format='(i2.2)')
IF keyword_set(ascii) THEN odir+='.asc' ELSE odir+='.tif'
input = intarr(n_elements(glon),n_elements(glat))
openr,fl,fdir,/get_lun
readu,fl,input
freE_lun,fl
input = float(input)
bv = where(input EQ -9999,nbv)
IF nbv GT 0 THEN input[bv]=nan()
input/=10.
output = fltarr(n_elements(geast),n_elements(gnorth))
output[*] = input[locs]
IF keyword_set(ascii) THEN BEGIN
output*=10
bv = where(~finite(output),nbv)
IF nbv GT 0 THEN output[bv]=-9999
output=fix(output)
openw,fl,odir,/get_lun
printf,fl,'NCOLS',n_elements(geast),format='(a-15,i0)'
printf,fl,'NROWS',n_elements(gnorth),format='(a-15,i0)'
printf,fl,'XLLCORNER',geast[0],format='(a-15,i0)'
printf,fl,'YLLCORNER',gnorth[n_elements(gnorth)-1],format='(a-15,i0)'
printf,fl,'CELLSIZE',50,format='(a-15,i0)'
printf,fl,'NODATA_VALUE',-9999,format='(a-15,i0)'
FOR i = 0,n_elements(gnorth)-1 DO printf,fl,output[*,i],format='('+string(n_elements(geast),format='(i0)')+'(i0," "))'
free_lun,fl
ENDIF ELSE BEGIN
geo = {ModelTiepointTag : [0,0, 0, geast[0],gnorth[0], 0], ModelPixelScaleTag : [50,50,0], $
GTModelTypeGeoKey : 1, GTRasterTypeGeoKey : 1, ProjectedCSTypeGeoKey : 32615, $
GEOGRAPHICTYPEGEOKEY : 4326, PCSCitationGeoKey : 'UTM Zone 15 N with WGS84'}
write_Tiff,odir,output,/float,geotiff=geo,compress=1
ENDELSE
;ncols 4
END
PRO ch_dronecomp,version=version,lidar=lidar,hyspex=hyspex,jfix=jfix
;read in drone, read in UTM grid
drone_dr = '/bog/incoming/cheesehead/drone-lst/'
flights = ['07112019','07112019','07112019',$
'07122019','07122019','07122019','07122019',$
'08192019','08192019',$
'08212019','08212019','08212019','08212019','08212019']
fnumber = ['1','2','4','1','2','3','4','1','2','1','2','3','4','5']
doys = [192,192,192,193,193,193,193,231,231,233,233,233,233,233]
tms = [21,21.5,22,15,15.5,16,16.5,17,21,14,16,17,19,20.5]
IF n_elements(version) EQ 0 THEN version = 'v20200803'
IF version EQ '' THEN vdir = '' ELSE vdir = version + '/'
IF keyword_set(lidar) THEN BEGIN
; restore,'/air/adesai/cheesehead/lidar/can.sav'
; li_ux = 696329.300
; li_uy = 5106591.070
li_dr='/air/incoming/CHEESEHEAD/PriceCounty_LiDAR/processed_tzheng_20191227/'
dem_f = 'CH_DEM_30km_1m_clipped'
dsm_f = 'CH_DSM_30km_1m_clipped'
dem_c1 = [696329.300, 5106591.070]
dsm_c1 = [696328.474, 5106591.070]
openu,dem_fl,li_dr+dem_f,/get_lun
openu,dsm_fl,li_dr+dsm_f,/get_lun
ENDIF
FOR i = 6,n_elements(flights)-1 DO BEGIN
dr = read_tiff(drone_dr+flights[i]+'_flight'+fnumber[i]+'.tif',geotiff=gdr)
bv = where(dr LT -200,nbv)
IF nbv GT 0 THEN dr[bv]=nan()
dr+=273.15
doy = doys[i]
hr = tms[i]
hrf = fix(hr)
fname = '/air/adesai/cheesehead/lstfusion/outputs/'+vdir+'utm/fuse_2019_'+string(doy,format='(i3.3)')+'_'+string(hr,format='(i2.2)')+'.tif'
IF ~file_test(fname,/read) THEN ch_reproject_write,doy,hr,version=version
IF file_test(fname,/read) THEN fuse = read_tiff(fname,geotiff=gfu) ELSE stop
IF hr NE hrf THEN BEGIN
hr2 = hrf+1
fname2 = '/air/adesai/cheesehead/lstfusion/outputs/'+vdir+'utm/fuse_2019_'+string(doy,format='(i3.3)')+'_'+string(hr2,format='(i2.2)')+'.tif'
IF ~file_test(fname2,/read) THEN ch_reproject_write,doy,hr2,version=version
IF file_test(fname2,/read) THEN fuse2 = read_tiff(fname2,geotiff=gfu2) ELSE stop
fuse1 = fuse
fuse = (fuse1+fuse2)/2.
ENDIF
;extract fuse to drone projection
dr_sc = gdr.modelpixelscaletag[0]
fu_sc = gfu.modelpixelscaletag[0]
dr_c1 = gdr.modeltiepointtag[3:4]
fu_c1 = gfu.modeltiepointtag[3:4]
fu_loc_x = fix((dr_c1[0]-fu_c1[0])/fu_sc)
fu_loc_y = fix((fu_c1[1]-dr_c1[1])/fu_sc)
fu_span_x = round(fu_loc_x + (n_elements(dr[*,0])*dr_sc/fu_sc))
fu_span_y = round(fu_loc_y + (n_elements(dr[0,*])*dr_sc/fu_sc))
fu_ext = fuse[fu_loc_x:fu_span_x,fu_loc_y:fu_span_y]
dr_fu = congrid(fu_ext,n_elements(dr[*,0]),n_elements(dr[0,*]),/center)
dr_fu[where(~finite(dr))]=nan()
IF n_elements(hyspex) NE 0 THEN BEGIN
;if july 13, cut off top 49 pixels
IF keyword_set(jfix) THEN BEGIN
dr = dr[*,49:*]
dr_c1[1]-=dr_sc*49
ENDIF
ch_hyspex_find,hyspex,[dr_c1[0],dr_c1[0]+dr_sc*n_elements(dr[*,0])],[dr_c1[1],dr_c1[1]-dr_sc*n_elements(dr[0,*])],locs=hlocs,files=hfl
stop
IF hlocs[0,0] GT 0 AND hlocs[0,1] GT 0 THEN BEGIN
hy = ch_hyspex_rd(hyspex,box=hlocs[*],bands=indgen(474))
bhy = where(hy LT 0,nbhy)
IF nbhy GT 0 THEN hy[bhy] = nan()
;10 m avg
hy_dr10 = congrid(hy,n_elements(dr[*,0])/23,n_elements(dr[0,*])/23,474,/center,/interp)
dr10 = congrid(dr,n_elements(dr[*,0])/23,n_elements(dr[0,*])/23,/interp,/center)
hy_dr10[where(hy_dr10 EQ 0)]=nan()
fu10 = congrid(dr_fu,n_elements(dr[*,0])/23,n_elements(dr[0,*])/23,/center)
dr10 -= mean(dr10,/nan)-mean(fu10,/nan)
inc10 = dr10-fu10
stop
;115, 162 for June 26
;August 6 is bands 94 and 111 (close)
;jul 13 is 276 and 375, also 101 and 111 and 99 , 111
; hy_dr = congrid(hy,n_elements(dr[*,0]),n_elements(dr[0,*]),474,/center)
;first downgrad to 10 m to save conputation cost?
;now do NDSI test
ndsi_c = make_array(474,474,/float,value=nan())
FOR b1 = 0,473 DO BEGIN
IF b1 MOD 10 EQ 0 THEN print,'Band ',b1
FOR b2 = b1,473 DO BEGIN
IF b1 NE b2 THEN BEGIN
ndsi = (hy_dr10[*,*,b2]-hy_dr10[*,*,b1])/(hy_dr10[*,*,b2]+hy_dr10[*,*,b1])
ndsi_c[b1,b2] = correl(inc10,ndsi)
ENDIF
ENDFOR
ENDFOR
ndbval = where(~finite(ndsi_c))
ndsi_c[ndbval] = 0.0
jj10 = reverse(sort(abs(ndsi_c)))
FOR jj = 0,10 DO print,array_indices(ndsi_c,jj10[jj]),ndsi_c[jj10[jj]],FORMAT = '(%"Value at [%d, %d] is %f")'
gband = array_indices(ndsi_c,jj10[0])
ndsi = (hy_dr10[*,*,gband[1]]-hy_dr10[*,*,gband[0]])/(hy_dr10[*,*,gband[1]]+hy_dr10[*,*,gband[0]])
incfit = myfit(ndsi,inc10)
dr_fuh = fu10 + incfit[0] + incfit[1] * ndsi
;save each of these (dr_fu, fu10, dr10, inc10, hy_dr10, ndsi_c,
;jj10, ndsi, incfit, dr_fuh)
stop
ENDIF ELSE BEGIN
print,'Hyspex and drone do not line up'
stop
ENDELSE
ENDIF
IF keyword_set(lidar) THEN BEGIN
;new way
;extract box for DSM and DEM
dem_xloc = long(dr_c1[0]-dem_c1[0])
dem_yloc = long(dem_c1[1]-dr_c1[1])
dsm_xloc = long(dr_c1[0]-dsm_c1[0])
dsm_yloc = long(dsm_c1[1]-dr_c1[1])
li_span_x = long(n_elements(dr[*,0])*dr_sc/1.0)
li_span_y = long(n_elements(dr[0,*])*dr_sc/1.0)
dem_ext = make_array(li_span_x,li_span_y,/float,value=nan())
dsm_ext = make_array(li_span_x,li_span_y,/float,value=nan())
dem_st = 4l * dem_yloc * 30000l
dsm_st = 4l * dsm_yloc * 30000l
FOR li_ln = 0l,li_span_y-1l DO BEGIN
dum = fltarr(li_span_x)
point_lun,dem_fl,dem_st+(4l * li_ln * 30000l)+(dem_xloc*4l)
readu,dem_fl,dum
dem_ext[*,li_ln] = dum
dum = fltarr(li_span_x)
point_lun,dsm_fl,dsm_st+(4l * li_ln * 30000l)+(dsm_xloc*4l)
readu,dsm_fl,dum
dsm_ext[*,li_ln] = dum
ENDFOR
dem_dr = congrid(dem_ext,n_elements(dr[*,0]),n_elements(dr[0,*]),/center)
dsm_dr = congrid(dsm_ext,n_elements(dr[*,0]),n_elements(dr[0,*]),/center)
can_dr = congrid(dsm_ext-dem_ext,n_elements(dr[*,0]),n_elements(dr[0,*]),/center)
dem_dr10=congrid(dem_dr,n_elements(dr[*,0])/23,n_elements(dr[0,*])/23,474,/center,/interp)
dsm_Dr10=congrid(dsm_dr,n_elements(dr[*,0])/23,n_elements(dr[0,*])/23,474,/center,/interp)
can_dr10=congrid(can_dr,n_elements(dr[*,0])/23,n_elements(dr[0,*])/23,474,/center,/interp)
stop
;save can_dr, dem_dr, dsm_dr
; li_loc_x = fix((dr_c1[0]-li_ux)/1.0)
; li_loc_y = fix((dr_c1[1]-li_uy)/1.0)
; li_span_x = round(li_loc_x + (n_elements(dr[*,0])*dr_sc/1.0))
; li_span_y = round(li_loc_y + (n_elements(dr[0,*])*dr_sc/1.0))
; li_ext = can[li_loc_x:li_span_x,li_loc_y:li_span_y]
; test = congrid(can[li_loc_x:li_loc_x+731,li_loc_y+400:li_loc_y+400+530],1575,1258,/center)
ENDIF
stop
;goals: get stats, ,lidar will help?
;ecostress overlap days are: 192 (11),
ENDFOR
IF keyword_set(lidar) THEN BEGIN
free_lun,dsm_fl
free_lun,dem_fl
ENDIF
END
PRO ch_dronemodel
andir = '/air/adesai/cheesehead/lstfusion/analysis/'
;restore drone files
restore,andir+'hy_aug_0712_1630.sav'
restore,andir+'hy_jul_0712_1630.sav'
restore,andir+'hy_jun_0712_1630.sav'
;restore lidar files
restore,andir+'lidr_0712_1630.sav'
;read in wwavelenth
wv = ch_hyspex_wv()
;figure out best ndsi vals across all
; FOR jj = 0,10 DO
; print,array_indices(ndsi_c,jj10[jj]),ndsi_c[jj10[jj]],FORMAT = '(%"Value at [%d, %d] is %f")'
; FOR jj = 0,100 DO print,wv[long((array_indices(ndsi_c_jun,jj10_jun[jj]))[0])],wv[long((array_indices(ndsi_c_jun,jj10_jun[jj]))[1])],ndsi_c_jun[jj10_jun[jj]],ndsi_c_jul[jj10_jun[jj]],ndsi_c_aug[jj10_jun[jj]],format='(5f10.3)'
; FOR jj = 0,100 DO print,wv[long((array_indices(ndsi_c_jul,jj10_jul[jj]))[0])],wv[long((array_indices(ndsi_c_jul,jj10_jul[jj]))[1])],ndsi_c_jun[jj10_jul[jj]],ndsi_c_jul[jj10_jul[jj]],ndsi_c_aug[jj10_jul[jj]],format='(5f10.3)'
; FOR jj = 0,100 DO print,wv[long((array_indices(ndsi_c_aug,jj10_aug[jj]))[0])],wv[long((array_indices(ndsi_c_aug,jj10_aug[jj]))[1])],ndsi_c_jun[jj10_aug[jj]],ndsi_c_jul[jj10_aug[jj]],ndsi_c_aug[jj10_aug[jj]],format='(5f10.3)'
;select 1470.466, 1982.657 (281, 375)
;select 709.077 and 760.173 (95, 111)
;select 504.697 and 651.595 (31, 77)
hy_dr10_jul2 = make_array(68,54,474,/float,value=nan())
hy_dr10_jul2[*,2:*,*] = hy_dr10_jul
hy_dr10 = merge_array(hy_dr10_jul2,hy_dr10_aug,hy_dr10_jun)
hy_b3 = (hy_dr10[*,*,375]-hy_dr10[*,*,281])/(hy_dr10[*,*,375]+hy_dr10[*,*,281]) ;SWIR
hy_b2 = (hy_dr10[*,*,95]-hy_dr10[*,*,111])/(hy_dr10[*,*,95]+hy_dr10[*,*,111]) ;red/green contrast
hy_b1 = (hy_dr10[*,*,77]-hy_dr10[*,*,31])/(hy_dr10[*,*,77]+hy_dr10[*,*,31]) ;red edge
;fu10, can_dr10, hy_B1, hy_b2, hy_b3
imx = fltarr(5,68*54)
imx[0,*] = fu10[*]
imx[1,*] = can_dr10[*]
imx[2,*] = hy_b1[*]
imx[3,*] = hy_b2[*]
imx[4,*] = hy_b3[*]
imy = fltarr(1,68*54)
imy[0,*] = dr10[*]
imy2 = imy
imy2[0,*] = inc10[*]
nn = where(finite(imx[0,*]) AND finite(imx[1,*]) AND finite(imx[2,*]) AND finite(imx[3,*]) AND finite(imx[4,*]) AND finite(imy))
nn2 = where(finite(imx[1,*]) AND finite(imx[2,*]) AND finite(imx[3,*]) AND finite(imx[4,*]) AND finite(imy2))
t = regress(imx[*,nn],imy[nn],correlation=cor,yfit=yf,const=ct,sigma=sma)
t2 = regress(imx[2:*,nn2],imy2[nn2],correlation=cor,yfit=yf,const=ct2,sigma=sma)
;test combos
newdr = t[0]*fu10+t[1]*can_dr10+t[2]*hy_b1+t[3]*hy_b2+t[4]*hy_b3+ct
newdr2 = t2[0]*hy_b1+t2[1]*hy_b2+t2[2]*hy_b3+ct2+fu10+(mean(dr10,/nan)-mean(fu10,/nan))
inctest = t[0]*can_dr10+t[1]*hy_b1+t[2]*hy_b2+t[3]*hy_b3+ct
;Aug is usu better than Jul is better
;than Jun (marginally)
stop
;take july, merge in aug, then jun
save,newdr2,hy_b1,hy_b2,hy_b3,fu10,dr10,ndsi_c_jul,ndsi_c_jun,ndsi_c_aug,filename='/air/adesai/cheesehead/lstfusion/analysis/dronemodel.sav'
stop
;build model
END
PRO ch_uwkacomp,version=version
;read IR temp from UWKA
;HOUR
;try TDomeB
;or irbc
;rstb2 (IR radiometric temp) in C
restore,'/air/adesai/cheesehead/lstfusion/coords.sav'
uwka_dr = '/bog/incoming/cheesehead/UWKA/'
files = file_search([uwka_dr+'2019*a.c1.nc',uwka_dr+'2019*b.c1.nc'],count=nf)
files = files[sort(files)]
lats = 0.
lons = 0.
irs = 0.
fts = 0.
gts = 0.
doys = 0.
FOR i = 0,nf-1 DO BEGIN
print,'On file ',files[i]
ncdf_list,files[i],vname=vv,/variables,/quiet
nc = ncdf_open(files[i])
dy = strmid((reverse(strsplit(files[i],'/',/extract)))[0],0,8)
doy = dy_to_jd(dy)
ncdf_varget,nc,'HOUR',h
ncdf_varget,nc,'rstb2',ir_temp
ncdf_varget,nc,'TDomeB',dome_t
ncdf_varget,nc,'irbc',lw
IF in(vv,'AVlat') THEN ncdf_Varget,nc,'AVlat',lat
IF in(vv,'AVlon') THEN ncdf_Varget,nc,'AVlon',lon
IF in(vv,'avlat') THEN ncdf_Varget,nc,'avlat',lat
IF in(vv,'avlon') THEN ncdf_Varget,nc,'avlon',lon
ncdf_varget,nc,'ralt3',z
ncdf_close,nc
gv = where((lat LE 46.1 AND lat GE 45.8) AND (lon GE -90.5 AND lon LE -90.0) AND (z GE 50 AND z LE 150),ngv)
h = h[gv]
ir_temp = ir_temp[gv]
; dome_t = dome_t[gv]
; lw = lw[gv]
lat = lat[gv]
lon = lon[gv]
ir_temp += 273.15
f_temp = ch_readfusion(lat,lon,sday=doy,eday=doy,doys=replicate(doy,n_elements(lat)),hrs=h,goes=g_temp,/transect,version=version)
doys = [doys,replicate(doy,n_elements(lat))]
lats = [lats,lat]
lons = [lons,lon]
irs = [irs,ir_temp]
fts = [fts,f_temp]
gts = [gts,g_temp]
ENDFOR
lats = lats[1:*]
lons = lons[1:*]
irs = irs[1:*]
fts = fts[1:*]
gts = gts[1:*]
doys = doys[1:*]
save,filename='/air/adesai/cheesehead/lstfusion/uwkacomp.sav',irs,fts,gts,doys,lats,lons
stop
END
PRO ch_isfscomp2
;read LW_OUT_1_1_1
rdir = '/bog/incoming/CHEESEHEAD/Ameriflux/'
dr = '/air/adesai/cheesehead/lstfusion/'
fname = 'isfs_temperatures.nc'
version='v20200803'
nc = ncdf_open(dr+fname)
ncdf_Varget,nc,'latitude',lat
ncdf_varget,nc,'longitude',lon
ncdf_close,nc
fuse = ch_readfusion(lat,lon,goes=goes,version=version)
restore,'/air/adesai/cheesehead/lstfusion/emis/aster_em.sav'
st = ['b','c','d','e','g','h','i','j','k','L','m','n','p','q','r','s','t']
isfs_type = ['ENF','DBF','WET','LAK','ENF','ENF','DBF','ENF','DBF','DBF','DBF','DBF','DBF','DBF','WET','DBF','ENF','LAK']
sites = strsplit('nw1 nw2 nw3 nw4 ne1 ne2 ne3 ne4 sw1 sw2 sw3 sw4 se2 se3 se4 se5 se6',' ',/extract)
;all sites start 201906010000 LT
;end at 201911010000
tsurf = make_array(17,7344,/float,value=nan())
tsurf_em = tsurf
FOR i = 0,n_elements(st)-1 DO BEGIN
fname = rdir+'US-PF'+st[i]+'_HH_201906010000_201911010000.csv'
print,'Reading ',fname
dta = read_ascii(fname,delim=',',data_start=1,header=h)
dta=dta.(0)
dta[where(Dta LE -9999)]=nan()
h = strsplit(h,',',/extract)
;18 is LW
;use 1 for emissivity
tsurf[i,*] = (dta[18,*]/((5.67e-8)*1.0))^0.25
towerem_x = (closest(em_lon,lon[i]))[0]
towerem_y = (closest(em_lat,lat[i]))[0]
tower_emis = mean(emis[towerem_x-3:towerem_x+3,towerem_y-3:towerem_y+3])
tsurf_em[i,*] = ( (1/(tower_emis * 5.67e-8)) * (dta[18,*] - ((1-tower_emis)*dta[17,*])))^0.25
;use ASTER GED for emissivity
ENDFOR
tsurf_hr = average_cols(tsurf,2,/nan)
tsurf_hr_em = average_cols(tsurf_em,2,/nan)
ftemp = shift(fuse,0,-6)
gtemp = shift(Goes,0,-6)
stop
save,filename='/air/adesai/cheesehead/lstfusion/ts.sav',ftemp,gtemp,tsurf_hr,sites,isfs_type,tsurf_hr_em
END
PRO ch_lstfusion2,version=version,keepslope=keepslope,recreate=recreate
;new approach
;one pixel at a time?
;read goesfuse_lst (only 30x30)
;read all 600x600 ecostress (~50 MB)
indir = '/air/adesai/cheesehead/lstfusion/inputs'
outdir = '/air/adesai/cheesehead/lstfusion/'
IF n_elements(version) EQ 0 THEN version = 'v20200803'
writedir = outdir + 'outputs/'+version+'/'
create_dir,writedir
restore,outdir+'goes_lst.sav'
restore,outdir+'goesfuse_lst.sav'
IF file_test(writedir+'transform.sav',/read) AND ~keyword_set(recreate) THEN BEGIN
print,'Restoring ',writedir+'transform.sav'
restore,writedir+'transform.sav'
GOTO,runout
ENDIF
restore,outdir+'ecostress.sav'
;remove bad images
; ecostress = screen_arr(Ecostress,271,314)
neco = n_elements(eco_doy)