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vertoffset_grid_to_gtiff.py
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vertoffset_grid_to_gtiff.py
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#!/usr/bin/env python
###############################################################################
# $Id$
#
# Project: PROJ
# Purpose: Convert a GTX or similar file into an optimized GTiff
# Author: Even Rouault <even.rouault at spatialys.com>
#
###############################################################################
# Copyright (c) 2019, Even Rouault <even.rouault at spatialys.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
###############################################################################
# python vertoffset_grid_to_gtiff.py $HOME/proj/proj-datumgrid/egm96_15.gtx egm96_15.tif --type GEOGRAPHIC_TO_VERTICAL --source-crs EPSG:4326 --target-crs EPSG:5773 --copyright "Public Domain. Derived from work at http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm96/egm96.html"
# python vertoffset_grid_to_gtiff.py $HOME/proj/proj-datumgrid/world/egm08_25.gtx egm08_25.tif --type GEOGRAPHIC_TO_VERTICAL --source-crs EPSG:4326 --target-crs EPSG:3855 --copyright "Public Domain. Derived from work at http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_wgs84.html"
# python vertoffset_grid_to_gtiff.py $HOME/proj/proj-datumgrid/north-america/vertcone.gtx vertcone.tif --type VERTICAL_TO_VERTICAL --source-crs EPSG:7968 --target-crs EPSG:5703 --interpolation-crs EPSG:4267 --copyright "Public Domain. Derived from work at https://www.ngs.noaa.gov/PC_PROD/VERTCON/"
from osgeo import gdal
from osgeo import osr
from cloud_optimize_gtiff import generate_optimized_file
import argparse
import datetime
import os
import struct
def get_args():
parser = argparse.ArgumentParser(
description='Convert a vertical offset grid into PROJ GeoTIFF.')
parser.add_argument('source',
help='Source file')
parser.add_argument('dest',
help='Destination GeoTIFF file')
parser.add_argument('--type', dest='type', required=True,
choices=['GEOGRAPHIC_TO_VERTICAL',
'VERTICAL_TO_VERTICAL'],
help='Type of grid')
parser.add_argument('--source-crs', dest='source_crs', required=True,
help='Source CRS as EPSG:XXXX or WKT')
parser.add_argument('--interpolation-crs', dest='interpolation_crs',
help='Interpolation CRS as EPSG:XXXX or WKT. Required for type=VERTICAL_TO_VERTICAL')
parser.add_argument('--target-crs', dest='target_crs', required=True,
help='Target CRS as EPSG:XXXX or WKT')
parser.add_argument('--copyright', dest='copyright', required=True,
help='Copyright info')
parser.add_argument('--description', dest='description',
help='Description')
parser.add_argument('--encoding',
dest='encoding',
choices=['float32', 'uint16', 'int32-scale-1-1000'],
default='float32',
help='Binary encoding. int32-scale-1-1000 is for for Canadian .byn')
parser.add_argument('--ignore-nodata', dest='ignore_nodata',
action='store_true',
help='Whether to ignore nodata')
parser.add_argument('--datetime', dest='datetime',
help='Value for TIFF DateTime tag as YYYY:MM:DD HH:MM:SS, or "NONE" to not write it. If not specified, current date time is used')
parser.add_argument('--area-of-use', dest='area_of_use',
help='Area of use')
return parser.parse_args()
def create_unoptimized_file(sourcefilename, tmpfilename, args):
src_ds = gdal.Open(sourcefilename)
subdatsets = src_ds.GetSubDatasets()
if not subdatsets:
subdatsets = [(sourcefilename, None)]
src_basename = os.path.basename(args.source)
nbands = 1
compact_md = True if len(subdatsets) > 50 else False
is_vertcon = src_basename in (
'vertcone.gtx', 'vertconw.gtx', 'vertconc.gtx')
for idx_ifd, subds in enumerate(subdatsets):
src_ds = gdal.Open(subds[0])
if args.encoding == 'int32-scale-1-1000':
target_dt = gdal.GDT_Int32
elif args.encoding == 'uint16':
target_dt = gdal.GDT_UInt16
else:
target_dt = gdal.GDT_Float32
tmp_ds = gdal.GetDriverByName('GTiff').Create('/vsimem/tmp',
src_ds.RasterXSize,
src_ds.RasterYSize,
nbands,
target_dt)
interpolation_crs = osr.SpatialReference()
if args.type == 'GEOGRAPHIC_TO_VERTICAL':
interpolation_crs.SetFromUserInput(args.source_crs)
else:
interpolation_crs.SetFromUserInput(args.interpolation_crs)
assert interpolation_crs.IsGeographic()
tmp_ds.SetSpatialRef(interpolation_crs)
tmp_ds.SetGeoTransform(src_ds.GetGeoTransform())
tmp_ds.SetMetadataItem('AREA_OR_POINT', 'Point')
if args.type == 'GEOGRAPHIC_TO_VERTICAL':
tmp_ds.SetMetadataItem(
'TYPE', 'VERTICAL_OFFSET_GEOGRAPHIC_TO_VERTICAL')
else:
tmp_ds.SetMetadataItem(
'TYPE', 'VERTICAL_OFFSET_VERTICAL_TO_VERTICAL')
src_crs = osr.SpatialReference()
src_crs.SetFromUserInput(args.source_crs)
if args.type == 'VERTICAL_TO_VERTICAL':
assert src_crs.IsVertical()
src_auth_name = src_crs.GetAuthorityName(None)
src_auth_code = src_crs.GetAuthorityCode(None)
if idx_ifd == 0 or not compact_md:
if src_auth_name == 'EPSG' and src_auth_code:
tmp_ds.SetMetadataItem(
'source_crs_epsg_code', src_auth_code)
else:
tmp_ds.SetMetadataItem(
'source_crs_wkt', src_crs.ExportToWkt(['FORMAT=WKT2_2018']))
dst_crs = osr.SpatialReference()
dst_crs.SetFromUserInput(args.target_crs)
assert dst_crs.IsVertical()
dst_auth_name = dst_crs.GetAuthorityName(None)
dst_auth_code = dst_crs.GetAuthorityCode(None)
if idx_ifd == 0 or not compact_md:
if dst_auth_name == 'EPSG' and dst_auth_code:
tmp_ds.SetMetadataItem('target_crs_epsg_code', dst_auth_code)
else:
tmp_ds.SetMetadataItem(
'target_crs_wkt', dst_crs.ExportToWkt(['FORMAT=WKT2_2018']))
def is_false_positive_nodata(y, x):
return src_basename == 'egm08_25.gtx' and y == 2277 and x == 6283
if args.encoding == 'int32-scale-1-1000':
assert src_ds.RasterCount == 1
scale = 0.001
nodata = None if args.ignore_nodata else src_ds.GetRasterBand(
1).GetNoDataValue()
data = src_ds.GetRasterBand(1).ReadAsArray()
if nodata is None:
data = data / scale
else:
dst_nodata = 9999000
nodata_as_f = struct.pack('f', nodata)
has_warned_nodata = False
for y in range(src_ds.RasterYSize):
for x in range(src_ds.RasterXSize):
is_nodata = False
if struct.pack('f', data[y][x]) == nodata_as_f:
if is_false_positive_nodata(y, x):
pass
elif not has_warned_nodata:
print(
'At least one value matches nodata (at %d,%d). Setting it' % (y, x))
tmp_ds.GetRasterBand(
1).SetNoDataValue(dst_nodata)
has_warned_nodata = True
is_nodata = True
else:
is_nodata = True
if is_nodata:
data[y][x] = dst_nodata
else:
data[y][x] = data[y][x] / scale
tmp_ds.GetRasterBand(1).WriteArray(data)
tmp_ds.GetRasterBand(1).SetOffset(0)
tmp_ds.GetRasterBand(1).SetScale(scale)
if idx_ifd == 0 or not compact_md:
tmp_ds.GetRasterBand(1).SetDescription(
'geoid_undulation' if args.type == 'GEOGRAPHIC_TO_VERTICAL' else 'vertical_offset')
tmp_ds.GetRasterBand(1).SetUnitType('metre')
elif args.encoding == 'uint16':
for i in (1, ):
min, max = src_ds.GetRasterBand(i).ComputeRasterMinMax()
data = src_ds.GetRasterBand(i).ReadAsArray()
if is_vertcon: # in millimetres originally !
assert min < -100 or max > 100
min = min * 0.001
max = max * 0.001
dst_nodata = 65535
scale = (max - min) / 65534 # we use 65535 for nodata
nodata = None if args.ignore_nodata else src_ds.GetRasterBand(
i).GetNoDataValue()
if nodata is None:
if is_vertcon: # in millimetres originally !
data = data * 0.001
data = (data - min) / scale
else:
nodata_as_f = struct.pack('f', nodata)
has_warned_nodata = False
for y in range(src_ds.RasterYSize):
for x in range(src_ds.RasterXSize):
is_nodata = False
if struct.pack('f', data[y][x]) == nodata_as_f:
if is_false_positive_nodata(y, x):
pass
elif not has_warned_nodata:
print(
'At least one value matches nodata (at %d,%d). Setting it' % (y, x))
tmp_ds.GetRasterBand(
i).SetNoDataValue(dst_nodata)
has_warned_nodata = True
is_nodata = True
else:
is_nodata = True
if is_nodata:
data[y][x] = dst_nodata
else:
if is_vertcon: # in millimetres originally !
data[y][x] = (
data[y][x] * 0.001 - min) / scale
else:
data[y][x] = (data[y][x] - min) / scale
tmp_ds.GetRasterBand(i).WriteArray(data)
tmp_ds.GetRasterBand(i).SetOffset(min)
tmp_ds.GetRasterBand(i).SetScale(scale)
if idx_ifd == 0 or not compact_md:
tmp_ds.GetRasterBand(i).SetDescription(
'geoid_undulation' if args.type == 'GEOGRAPHIC_TO_VERTICAL' else 'vertical_offset')
tmp_ds.GetRasterBand(i).SetUnitType('metre')
else:
for i in (1,):
data = src_ds.GetRasterBand(i).ReadRaster(buf_type = gdal.GDT_Float32)
nodata = None if args.ignore_nodata else src_ds.GetRasterBand(
i).GetNoDataValue()
nvalues = src_ds.RasterXSize * src_ds.RasterYSize
dst_nodata = -32768
if nodata:
packed_src_nodata = struct.pack('f', nodata)
packed_dst_nodata = struct.pack('f', dst_nodata)
assert src_ds.GetRasterBand(1).DataType == gdal.GDT_Float32
has_warned_nodata = False
out_data = bytearray(data)
for idx in range(len(data)//4):
is_nodata = False
if data[idx*4:idx*4+4] == packed_src_nodata:
y = idx // src_ds.RasterXSize
x = idx % src_ds.RasterXSize
if is_false_positive_nodata(y, x):
pass
elif not has_warned_nodata:
print(
'At least one value matches nodata (at idx %d,%d). Setting it' % (y, x))
tmp_ds.GetRasterBand(
i).SetNoDataValue(dst_nodata)
has_warned_nodata = True
is_nodata = True
else:
is_nodata = True
if is_nodata:
out_data[idx*4:idx*4+4] = packed_dst_nodata
data = bytes(out_data)
if is_vertcon: # in millimetres originally !
min, max = src_ds.GetRasterBand(i).ComputeRasterMinMax()
assert min < -100 or max > 100
assert src_ds.GetRasterBand(1).DataType == gdal.GDT_Float32
out_data = b''
for v in struct.unpack('f' * nvalues, data):
out_data += struct.pack('f', v * 0.001 if v !=
dst_nodata else dst_nodata)
data = out_data
tmp_ds.GetRasterBand(i).WriteRaster(0, 0, src_ds.RasterXSize, src_ds.RasterYSize,
data)
if idx_ifd == 0 or not compact_md:
tmp_ds.GetRasterBand(i).SetDescription(
'geoid_undulation' if args.type == 'GEOGRAPHIC_TO_VERTICAL' else 'vertical_offset')
tmp_ds.GetRasterBand(i).SetUnitType('metre')
if idx_ifd == 0:
desc = args.description
if not desc:
src_auth_name = src_crs.GetAuthorityName(None)
src_auth_code = src_crs.GetAuthorityCode(None)
desc = src_crs.GetName()
if src_auth_name and src_auth_code:
desc += ' (' + src_auth_name + ':' + src_auth_code + ')'
desc += ' to '
desc += dst_crs.GetName()
if dst_auth_name and dst_auth_code:
desc += ' (' + dst_auth_name + ':' + dst_auth_code + ')'
desc += '. Converted from '
desc += src_basename
desc += ' (last modified at '
desc += datetime.datetime.utcfromtimestamp(
os.stat(sourcefilename).st_mtime).strftime("%Y/%m/%d")
desc += ')'
tmp_ds.SetMetadataItem('TIFFTAG_IMAGEDESCRIPTION', desc)
if args.copyright:
tmp_ds.SetMetadataItem('TIFFTAG_COPYRIGHT', args.copyright)
if args.datetime and args.datetime != 'NONE':
tmp_ds.SetMetadataItem('TIFFTAG_DATETIME', args.datetime)
if args.area_of_use:
tmp_ds.SetMetadataItem('area_of_use', args.area_of_use)
options = ['PHOTOMETRIC=MINISBLACK',
'COMPRESS=DEFLATE',
'PREDICTOR=3' if target_dt == gdal.GDT_Float32 else 'PREDICTOR=2',
'INTERLEAVE=BAND',
'GEOTIFF_VERSION=1.1']
if tmp_ds.RasterXSize > 256 and tmp_ds.RasterYSize > 256:
options.append('TILED=YES')
else:
options.append('BLOCKYSIZE=' + str(tmp_ds.RasterYSize))
if gdal.VSIStatL(tmpfilename) is not None:
options.append('APPEND_SUBDATASET=YES')
assert gdal.GetDriverByName('GTiff').CreateCopy(tmpfilename, tmp_ds,
options=options)
def check(sourcefilename, destfilename, args):
src_ds = gdal.Open(sourcefilename)
src_subdatsets = src_ds.GetSubDatasets()
if not src_subdatsets:
src_subdatsets = [(sourcefilename, None)]
dst_ds = gdal.Open(destfilename)
dst_subdatsets = dst_ds.GetSubDatasets()
if not dst_subdatsets:
dst_subdatsets = [(destfilename, None)]
assert len(src_subdatsets) == len(dst_subdatsets)
for dst_subds in dst_subdatsets:
dst_ds = gdal.Open(dst_subds[0])
dst_ds.GetRasterBand(1).Checksum()
assert gdal.GetLastErrorMsg() == ''
if __name__ == '__main__':
args = get_args()
tmpfilename = args.dest + '.tmp'
gdal.Unlink(tmpfilename)
if not args.datetime and args.datetime != 'NONE':
args.datetime = datetime.date.today().strftime("%Y:%m:%d %H:%M:%S")
create_unoptimized_file(args.source, tmpfilename, args)
generate_optimized_file(tmpfilename, args.dest)
check(args.source, args.dest, args)
gdal.Unlink(tmpfilename)