Python GDAL: Array als Raster mit Projektion aus einer anderen Datei speichern

Ich habe eine Reihe von Daten und kenne für jeden Datenpunkt den Breiten- und Längengrad. Ich möchte es als GTiff mit der gleichen Projektion wie andere Raster speichern, die ich habe. Das habe ich bisher versucht, aber kein Glück.

import numpy as np
import gdal
from gdalconst import *
from osgeo import osr

def GetGeoInfo(FileName):
    SourceDS = gdal.Open(FileName, GA_ReadOnly)
    GeoT = SourceDS.GetGeoTransform()
    Projection = osr.SpatialReference()
    Projection.ImportFromWkt(SourceDS.GetProjectionRef())    
return GeoT, Projection

def CreateGeoTiff(Name, Array, driver, 
                  xsize, ysize, GeoT, Projection):
    DataType = gdal.GDT_Float32
    NewFileName = Name+'.tif'
    # Set up the dataset
    DataSet = driver.Create( NewFileName, xsize, ysize, 1, DataType )
            # the '1' is for band 1.
    DataSet.SetGeoTransform(GeoT)
    DataSet.SetProjection( Projection.ExportToWkt() )
    # Write the array
    DataSet.GetRasterBand(1).WriteArray( Array )
    return NewFileName

def ReprojectCoords(x, y,src_srs,tgt_srs):
    trans_coords=[]
    transform = osr.CoordinateTransformation( src_srs, tgt_srs)
    x,y,z = transform.TransformPoint(x, y)
    return x, y

# Some Data
Data = np.random.rand(5,6)
Lats = np.array([-5.5, -5.0, -4.5, -4.0, -3.5])
Lons = np.array([135.0, 135.5, 136.0, 136.5, 137.0, 137.5])

# A raster file that exists in the same approximate aregion.
RASTER_FN = 'some_raster.tif'

# Open the raster file and get the projection, that's the
# projection I'd like my new raster to have, it's 'projected',
# i.e. x, y values are numbers of pixels.
GeoT, TargetProjection, DataType = GetGeoInfo(RASTER_FN)
# Meanwhile my raster is currently in geographic coordinates.
SourceProjection = TargetProjection.CloneGeogCS()

# Get the corner coordinates of my array
LatSize, LonSize = len(Lats), len(Lons)
LatLow, LatHigh = Lats[0], Lats[-1]
LonLow, LonHigh = Lons[0], Lons[-1]
# Reproject the corner coordinates from geographic
# to projected...
TopLeft = ReprojectCoords(LonLow, LatHigh, SourceProjection, TargetProjection)
BottomLeft = ReprojectCoords(LonLow, LatLow, SourceProjection, TargetProjection)
TopRight = ReprojectCoords(LonHigh, LatHigh, SourceProjection, TargetProjection)
# And define my Geotransform
GeoTNew = [TopLeft[0],  (TopLeft[0]-TopRight[0])/(LonSize-1), 0,
           TopLeft[1], 0, (TopLeft[1]-BottomLeft[1])/(LatSize-1)]

# I want a GTiff
driver = gdal.GetDriverByName('GTiff')
# Create the new file...
NewFileName = CreateGeoTiff('Output', Data, driver, LatSize, LonSize, GeoTNew, TargetProjection)

Dies führt jedoch zu der folgenden Fehlermeldung:

File "TES2GtifBBB.py", line 25, in CreateGeoTiff
  DataSet.GetRasterBand(1).WriteArray( Array )
File "/Library/Frameworks/GDAL.framework/Versions/1.9/Python/2.7/site packages/osgeo/gdal.py", line 1082, in WriteArray
  return gdalnumeric.BandWriteArray( self, array, xoff, yoff )
File "/Library/Frameworks/GDAL.framework/Versions/1.9/Python/2.7/site packages/osgeo/gdal_array.py", line 256, in BandWriteArray
  raise ValueError("array larger than output file, or offset off edge")
ValueError: array larger than output file, or offset off edge

Eddy, versuche einen anderen Ansatz, um das Array als Raster zu schreiben. Der folgende Code funktioniert für mich, und für Ihren Fall müssten Sie nur die Eckkoordinate, die Pixelgröße und die Anzahl der Pixel für die neu projizierten Werte ändern, wie Sie es in Ihrem Code getan haben. Der erste Teil würde also durch einige Ihrer Verfahren ersetzt.

from osgeo import gdal

def array_to_raster(array):
    """Array > Raster
    Save a raster from a C order array.

    :param array: ndarray
    """
    dst_filename = '/a_file/name.tiff'


    # You need to get those values like you did.
    x_pixels = 16  # number of pixels in x
    y_pixels = 16  # number of pixels in y
    PIXEL_SIZE = 3  # size of the pixel...        
    x_min = 553648  
    y_max = 7784555  # x_min & y_max are like the "top left" corner.
    wkt_projection = 'a projection in wkt that you got from other file'

    driver = gdal.GetDriverByName('GTiff')

    dataset = driver.Create(
        dst_filename,
        x_pixels,
        y_pixels,
        1,
        gdal.GDT_Float32, )

    dataset.SetGeoTransform((
        x_min,    # 0
        PIXEL_SIZE,  # 1
        0,                      # 2
        y_max,    # 3
        0,                      # 4
        -PIXEL_SIZE))  

    dataset.SetProjection(wkt_projection)
    dataset.GetRasterBand(1).WriteArray(array)
    dataset.FlushCache()  # Write to disk.
    return dataset, dataset.GetRasterBand(1)  #If you need to return, remenber to return  also the dataset because the band don`t live without dataset.