#print "i" + str(i)
#print "j" + str(j)
if lbm[j,i] == -999:
r,h = rcoord.getSlantRangeElevation( i * ppi.rangestep, ppi.posangle[k])
idx = int(r / ppi.rangestep )
if (idx < ppi.bins):
lbm[j,i] = ppi.obsval[k,idx]
mask[j,i] = ppi.mask[k,idx]
else:
break
lbm[lbm == -999] = nan
mask[mask == -999] = nan
masked=radar.filler_filter(mask)
np.savetxt('Hclassi_r.txt',mask)
np.savetxt('Hclassi_filled_r.txt',masked)
ilbm = rcoord.getCartesian(lbm)
mask = rcoord.getCartesian(masked)
np.savetxt('Hclass_mask_cartessian.txt',mask)
print ilbm
#clean mask data
#mask[mask >= 95.5] = nan
#mask[maks < -31.5] = nan
#convert values from 16-bit to real values
def main(ifile,isweep,var,otfile,bit8=True):
if os.path.exists(ifile):
image_folder = os.environ['IMAGE_FOLDER']
ppi = hdf5.HDF5scan(ifile,isweep,var)
dtime = ppi.dtime
rcells = int(ppi.dist/ppi.rangestep)
#matrix of zeros from image
lbm = np.zeros( (361., rcells) )
#mask for removing clutters
mask = np.zeros( (361., rcells) )
#fill matriec with some arbitary value(value -999 does not accure on measurments)
lbm[:,:] = -999
mask[:,:] = -999
#data to radar coordinate system.
rcoord = radar.RadarCoordinateSystem(ppi.lat, ppi.lon, ppi.alt)
for k in range(ppi.az.size):
for i in range(rcells):
j = int((ppi.az[k]))
if lbm[j,i] == -999:
r,h = rcoord.getSlantRangeElevation( i * ppi.rangestep, ppi.posangle[k])
idx = int(r / ppi.rangestep )
if (idx < ppi.bins):
lbm[j,i] = ppi.obsval[k,idx]
mask[j,i] = ppi.mask[k,idx]
else:
break
lbm[lbm == -999] = nan
mask[mask == -999] = nan
masked=radar.filler_filter(mask)
masked1=radar.median_filter(mask)
masked2=radar.closing_filter(mask)
np.savetxt('Hclass_filled.txt',masked)
np.savetxt('Hclass_median.txt',masked1)
np.savetxt('Hclass_closing.txt',masked2)
np.savetxt('Data.txt',lbm)
ilbm = rcoord.getCartesian(lbm)
np.savetxt('Data_rcoord.txt',lbm)
mask = rcoord.getCartesian(masked)
h_class = rcoord.getCartesian(mask)
np.savetxt('Hclass_mask_rcood.txt',mask)
np.savetxt('Hclass_rcood.txt',h_class)
ilbm_8bit = ilbm
print "ilbm"
if (var == 'Z2'):
ilbm[ilbm >= 327.66] = nan
ilbm[ilbm <= -327.67] = nan
ilbm = np.round((100.0*ilbm+32768.0))
if(bit8 == False):
#8bit data
ilbm_8bit[ilbm_8bit >= 95.5] = nan
ilbm_8bit[ilbm_8bit < -31.5] = nan
ilbm_8bit = np.round((2.0*ilbm_bit+64.0))
if (var == "KDP2"):
ilbm = np.round(100.0*ilbm+32768)
ilbm[ilbm <= 0] = nan
ilbm[ilbm >= 65535] = nan
if (var == "RHOVH2"):
ilbm = np.round((ilbm*65533)+1)
ilbm[ilbm <= 0] = nan
ilbm[ilbm >= 65535] = nan
if (var == "V2"):
ilbm = np.round(100.0*ilbm+32768)
ilbm[ilbm <= 0] = nan
ilbm[ilbm >= 65535] = nan
ilbm = np.asarray(ilbm)
# np.savetxt('Data.txt',ilbm)
ilbm=ilbm*mask
# np.savetxt('Data_filter.txt',ilbm)
#write Geotiff image 16bit
otfile2 = "8bit_"+otfile
otfile = os.getcwd()+ "/" + image_folder +otfile
format = "GTiff"
dst_options = ['COMPRESS=LZW','ALPHA=YES']
out_driver = gdal.GetDriverByName(format)
dst_ds = out_driver.Create( otfile, 2 * rcells, 2 * rcells, 1, gdal.GDT_Float32, dst_options)
dst_ds.SetGeoTransform( [ -ppi.dist, ppi.rangestep, 0, ppi.dist, 0, -ppi.rangestep ] )
iproj = 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["unknown",SPHEROID["WGS84",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433]],PROJECTION["Azimuthal_Equidistant"],PARAMETER["latitude_of_center",'+str(ppi.lat)+'],PARAMETER["longitude_of_center",'+str(ppi.lon)+'],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]'
dst_ds.SetProjection(iproj)
dst_ds.GetRasterBand(1).WriteArray( ilbm[::-1,:] )
dst_ds.SetMetadataItem("RADAR",str(ppi.rname))
dst_ds.SetMetadataItem("LAT", str(ppi.lat))
dst_ds.SetMetadataItem("LON", str(ppi.lon))
dst_ds.SetMetadataItem("ALT", str(ppi.alt))
dst_ds.SetMetadataItem("ELEV", str(float(ppi.posangle[0])))
dst_ds.SetMetadataItem("VARIABLE",var)
dst_ds.SetMetadataItem("VOL_NAME",str(ppi.scan))
dst_ds.SetMetadataItem("DATETIME", dtime)
dst_ds = None
#8bit
format = "GTiff"
dst_options = ['COMPRESS=LZW','ALPHA=YES']
otfile2 = os.getcwd()+"/" + image_folder +otfile2
out_driver = gdal.GetDriverByName(format)
dst_ds = out_driver.Create( otfile2, 2 * rcells, 2 * rcells, 1, gdal.GDT_Float32, dst_options)
dst_ds.SetGeoTransform( [ -ppi.dist, ppi.rangestep, 0, ppi.dist, 0, -ppi.rangestep ] )
iproj = 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["unknown",SPHEROID["WGS84",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433]],PROJECTION["Azimuthal_Equidistant"],PARAMETER["latitude_of_center",'+str(ppi.lat)+'],PARAMETER["longitude_of_center",'+str(ppi.lon)+'],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]'
dst_ds.SetProjection(iproj)
dst_ds.GetRasterBand(1).WriteArray( ilbm[::-1,:] )
dst_ds.SetMetadataItem("RADAR",str(ppi.rname))
dst_ds.SetMetadataItem("LAT", str(ppi.lat))
dst_ds.SetMetadataItem("LON", str(ppi.lon))
dst_ds.SetMetadataItem("ALT", str(ppi.alt))
dst_ds.SetMetadataItem("ELEV", str(float(ppi.posangle[0])))
dst_ds.SetMetadataItem("VARIABLE",var)
dst_ds.SetMetadataItem("VOL_NAME",str(ppi.scan))
dst_ds.SetMetadataItem("DATETIME", dtime)
dst_ds = None
else:
print "File " + ifile + " non disponibile"
