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IceSvalbardSection.py
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IceSvalbardSection.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Sep 28 10:44:10 2015
@author: max
"""
import struct, numpy, gdal, gdalconst, glob, os, osr
import shutil, sys, ogr
def EPSG3411_2_EPSG3575(infile):
'''
reprojects the infile from NSIDC 3411 to EPSG 3575
outputfile has 25km resolution
'''
(infilepath, infilename) = os.path.split(infile)
(infileshortname, extension) = os.path.splitext(infilename)
outdirectory = infilepath + '//EPSG3575//'
if not os.path.exists(outdirectory):
os.makedirs(outdirectory)
outfile = outdirectory + infileshortname + '_EPSG3575.tif'
print ' Reproject ', infile, ' to ', outfile
os.system('gdalwarp -q -s_srs EPSG:3411 -tr 25000 -25000 -t_srs EPSG:3575'\
+ ' -of GTiff ' + infile + ' ' + outfile)
def EPSG3411_2_EPSG32633(infile):
'''
reprojects the infile from NSIDC 3411 to EPSG 3575
outputfile has 25km resolution
'''
(infilepath, infilename) = os.path.split(infile)
(infileshortname, extension) = os.path.splitext(infilename)
outdirectory = infilepath + '//EPSG32633//'
if not os.path.exists(outdirectory):
os.makedirs(outdirectory)
outfile = outdirectory + infileshortname + '_EPSG32633.tif'
print ' Reproject ', infile, ' to ', outfile
os.system('gdalwarp -q -s_srs EPSG:3411 -tr 25000 -25000 -t_srs EPSG:32633'\
+ ' -of GTiff ' + infile + ' ' + outfile)
def Bin2GeoTiff(infile,outfilepath ):
'''
This function takes the NSIDC charts, being a flat binary string,
and converts them to GeoTiff. Some details here:
http://geoinformaticstutorial.blogspot.no/2014/02/reading-binary-data-nsidc-sea-ice.html
Info on the ice concentration charts: http://nsidc.org/data/docs/daac/nsidc0051_gsfc_seaice.gd.html
Info on the map projection: http://nsidc.org/data/polar_stereo/ps_grids.html
The GeoTiff files are map projected to EPSG:3411, being the NSIDC-
specific projection. There also is produced a GeoTiff reprojected to
EPSG:3575 which is the NP-standard for Barents/Fram-Strait.
Details on how to map project are found here:
http://geoinformaticstutorial.blogspot.no/2014/03/geocoding-nsidc-sea-ice-concentration.html
'''
#Define file names
(infilepath, infilename) = os.path.split(infile)
(infileshortname, extension) = os.path.splitext(infilename)
outfile = outfilepath + infileshortname + '.tif'
#Dimensions from https://nsidc.org/data/docs/daac/nsidc0051_gsfc_seaice.gd.html
height = 448
width = 304
#####
# READ FLAT BINARY INTO ARRAY
#####
#for this code on how to read flat binary string, inspiration found at
# https://stevendkay.wordpress.com/category/python/
icefile = open(infile, "rb")
contents = icefile.read()
icefile.close()
# unpack binary data into a flat tuple z
#offset and width/height from
# https://nsidc.org/data/docs/daac/nsidc0051_gsfc_seaice.gd.html
s="%dB" % (int(width*height),)
z=struct.unpack_from(s, contents, offset = 300)
nsidc = numpy.array(z).reshape((448,304))
########
#WRITE THE ARRAY TO GEOTIFF
########
driver = gdal.GetDriverByName("GTiff")
outraster = driver.Create(outfile, width, height,1, gdal.GDT_Int16 )
if outraster is None:
print 'Could not create '
return
#set geotransform, values from
# https://nsidc.org/data/docs/daac/nsidc0051_gsfc_seaice.gd.html
geotransform = (-3850000.0, 25000.0 ,0.0 ,5850000.0, 0.0, -25000.0)
outraster.SetGeoTransform(geotransform)
outband = outraster.GetRasterBand(1)
#Write to file
outband.WriteArray(nsidc)
spatialRef = osr.SpatialReference()
# spatialRef.ImportFromEPSG(3411) --> this one does for some reason NOT
# work, but using proj4 does
spatialRef.ImportFromProj4('+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 '\
+ '+k=1 +x_0=0 +y_0=0 +a=6378273 +b=6356889.449 +units=m +no_defs')
outraster.SetProjection(spatialRef.ExportToWkt() )
outband.FlushCache()
#Clear arrays and close files
outband = None
outraster = None
nsidc = None
#####
#REPROJECT GEOTIFF TO EPSG3575
#####
EPSG3411_2_EPSG3575(outfile)
EPSG3411_2_EPSG32633(outfile)
def ExtractRingSection(ring, section, infile, outputfilepath):
'''
'''
#Define file names
(infilepath, infilename) = os.path.split(infile)
(infileshortname, extension) = os.path.splitext(infilename)
RingSectionFile = outputfilepath + infileshortname + '_ring' + str(ring) +\
'_section' + str(section) + '.tif'
cutline = '//home//max//Documents//DagIskart//RingSectionsMerge.shp'
print "create ", infileshortname + '_ring' + str(ring) +\
'_section' + str(section)
os.system('gdalwarp -q -cutline ' + cutline + ' -of GTiff '\
+ '-cwhere "POLY_ID=' + str(ring) + " AND SECTION='" \
+ str(section) + "'\" " + infile + ' ' + RingSectionFile)
def MonthlyStats(outputfilepath, filelist, year, ring, section):
'''
'''
NumberOfDays = len(filelist)
monthDict={1:'January', 2:'February', 3:'March', 4:'April', 5:'May', \
6:'June', 7:'July', 8:'August', 9:'September', 10:'October', \
11:'November', 12:'December'}
outputtextfile = outputfilepath + "MonthlyStatistics" + str(year) + ".txt"
cumulativepermonth = 0
cumulativeperday = 0
for ringsectionfile in filelist:
(ringsectionfilenamepath, ringsectionfilename) = os.path.split(ringsectionfile)
year = int(ringsectionfilename[3:7])
monthAsNumber = int(ringsectionfilename[7:9])
month = monthDict[int(ringsectionfilename[7:9])]
gdal.AllRegister()
# open the image
ds = gdal.Open(ringsectionfile, gdalconst.GA_ReadOnly)
if ds is None:
print 'Could not open '
sys.exit(1)
referencefilename = '//home//max//Documents//DagIskart//Rasterize' + section + '.tif'
referencefile = gdal.Open(referencefilename, gdalconst.GA_ReadOnly)
# get image size
rows = ds.RasterYSize
cols = ds.RasterXSize
#Read input raster into array
ringsectionraster = ds.ReadAsArray()
referenceraster = referencefile.ReadAsArray()
percentage = 0
cumulativeperday = 0
count = 0
for i in range(rows):
for j in range(cols):
if (referenceraster[i,j] == int(ring)) and \
( 0<= ringsectionraster[i,j] <= 250):
percentage = ringsectionraster[i,j] *100/250.0
count = count + 1
cumulativeperday = cumulativeperday + percentage
cumulativeperday = cumulativeperday / count
cumulativepermonth = cumulativepermonth + cumulativeperday / NumberOfDays
ds = None
referencefile = None
print 'Year and month = ', str(year), month
print 'Mean Ice Concentration = ', cumulativepermonth
textfile = open( outputtextfile, 'a')
textfile.write(str(year) + ', ' + month + ', ' + ring + ', ' + section + ', ' \
+ str(cumulativepermonth) + '\n' )
textfile.close()
ds = None
CreateRingStatistics(ring, section, year, monthAsNumber, cumulativepermonth)
def CreateRingStatistics(ring, section, year, monthAsNumber, cumulativepermonth):
'''
'''
driver = ogr.GetDriverByName('ESRI Shapefile')
#datasource = driver.Open('/home/max/Documents/DagIskart/RingStatisticsTest.shp', 1)
datasource = driver.Open('/home/max/Documents/DagIskart/RingStatistics' + str(year) + '.shp', 1)
# if not os.path.isfile(datasource):
# shutil.copyfile('/home/max/Documents/DagIskart/RingStatistics.shp', datasource)
layer = datasource.GetLayer()
if monthAsNumber < 11:
monthAsNumberString = '0' + str(monthAsNumber)
elif monthAsNumber > 10:
monthAsNumberString = str(monthAsNumber)
yearmonth = str(year) + monthAsNumberString
feature = layer.GetFeature(0)
try:
feature.GetField(yearmonth)
except:
fieldDef = ogr.FieldDefn(yearmonth, ogr.OFTReal)
layer.CreateField(fieldDef)
featurecount = layer.GetFeatureCount()
for i in range(0, featurecount):
feature = layer.GetFeature(i)
featurering = str(feature.GetFieldAsInteger('RING'))
featuresection = feature.GetFieldAsString('SECTION')
if (featurering == ring) and (featuresection == section):
feature.SetField(yearmonth, cumulativepermonth)
layer.SetFeature(feature)
layer.ResetReading()
#feature.Destroy()
datasource.Destroy()
return
layer.ResetReading()
datasource.Destroy()
##############################################################################
### Core of Program follows here ###
##############################################################################
startyear = 2002
stopyear = 2002
monthDict={1:'January', 2:'February', 3:'March', 4:'April', 5:'May', 6:'June', 7:'July', 8:'August', 9:'September', 10:'October', 11:'November', 12:'December'}
#monthDict = {1:'January'}
ringDict={1:'25', 2:'50', 3:'75', 4:'100', 5:'125', 6:'150', 7:'175', 8:'200',\
9: '225', 10:'250', 11:'275', 12:'300', 13:'325', 14:'350', 15:'375',\
16:'400'}
sectionDict={1:'NE', 2:'SE', 3:'SW', 4:'W', 5:'NW'}
#outfilepath = 'C:\\Users\\max\\Documents\\IcePersistency\\' + monthDict[month] + '\\'
#Create filelist including all files for the given month between startyear and stopyear inclusive
filelist = []
for year in range(startyear, stopyear + 1):
outfilepath = '//media//max//Transcend//DagIskart//' + str(year) + '//'
if os.path.exists(outfilepath):
answer = raw_input(outfilepath + " exists, delete and overwrite folder? [Y]es?")
if answer.lower().startswith('y'):
print "Overwriting " + outfilepath
shutil.rmtree(outfilepath)
os.makedirs(outfilepath)
else:
print "Ending program"
sys.exit()
elif not os.path.exists(outfilepath):
os.makedirs(outfilepath)
for month in range(1,13):
foldername = '//media//max//Transcend//NSIDC//north//daily//' + str(year) + '//'
if month < 10:
file_searchstring = 'nt_' + str(year) + '0' + str(month) + '*.bin'
else:
file_searchstring = 'nt_' + str(year) + str(month) + '*.bin'
foldersearchstring = foldername + file_searchstring
filelist = []
filelist = glob.glob(foldersearchstring)
# presentoutput = where in this iteration files are saved
presentoutput = outfilepath + '//' + monthDict[month] + '//'
os.makedirs(presentoutput)
for icechart in filelist:
#Convert NSIDC files to GeoTiff
print'convert ', icechart
Bin2GeoTiff(icechart, presentoutput)
projectedlist = []
projectedlist = glob.glob(presentoutput + '//EPSG32633//*EPSG32633.tif')
#Create file for each section and ring
for projectedfile in projectedlist:
for i in ringDict:
for j in sectionDict:
ExtractRingSection(ringDict[i], sectionDict[j], \
projectedfile, presentoutput + '//EPSG32633//')
for i in ringDict:
for j in sectionDict:
print 'stats for ring ', i,'section', j
ringsectionlist = glob.glob(presentoutput + 'EPSG32633//*ring' + \
str(ringDict[i]) + '_section' + str(sectionDict[j]) + '.tif')
MonthlyStats(outfilepath, ringsectionlist, year, str(ringDict[i]), str(sectionDict[j]))
print "Done"