path_evi="/home/faizan/Pakistan/EVI/"
path_lswi="/home/faizan/HDD1/LSWI/"
path_flood="/home/faizan/HDD1/FLOOD_thresh/"
for year in range(2004,2010):
n=0
for i in range(1, 363):
#assigning names test data
evi=path_evi+str(year)+"/clip.%d%03d" % (year, i) + ".tif"
lswi=path_lswi+str(year)+"/clip.%d%03d" % (year, i) + ".tif"
Oflood =path_flood+str(year)+"/flood_thr.%d%03d" % (year, i) + ".tif"
#Test data
if os.path.exists(evi) is True:
limage = Index(evi)
cols = limage.iminfo['cols']
rows = limage.iminfo['rows']
bandnum= limage.iminfo['bandnum']
EVI = (limage.index2Array())
limage = Index(lswi)
LSWI = (limage.index2Array())
DVEL = limage.CalcDVEL(EVI, LSWI, fill)
#calculate Flood
Flood= (limage.CalcFlood(EVI, LSWI, DVEL, fill))
#Get Flood as tiff
limage.WriteArrayAsImage(Oflood, Flood)
print n
n +=1
del EVI, LSWI, DVEL, Flood
np.savetxt(b1o, data, delimiter=",") # nir band limage = Index(b6) data= (limage.Band2Array(0.0001, fill)) np.savetxt(b6o, data, delimiter=",") limage = Index(b2) data= (limage.Band2Array(0.0001, fill)) np.savetxt(b2o, data, delimiter=",") limage = Index(b3) data= (limage.Band2Array(0.0001, fill)) np.savetxt(b3o, data, delimiter=",") limage = Index(b4) data= (limage.Band2Array(0.0001, fill)) np.savetxt(b4o, data, delimiter=",") """ limage = Index(evi) cols = limage.iminfo['cols'] # Get pixel row number rows = limage.iminfo['rows'] data = (limage.index2Array(0.0001, fill)) np.savetxt(evio, data, delimiter=",") """ limage = Index(ndvi) data = (limage.index2Array(0.0001, fill)) np.savetxt(ndvio, data, delimiter=",") """ limage = Index(lswi) data = (limage.index2Array(0.0001, fill)) np.savetxt(lswio, data, delimiter=",") limage = Index(dvel) data = (limage.index2Array(0.0001, fill))