raster_vector_interact/reext.py at master · longbotham/raster_vector_interact · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
##[Example scripts]=group
##Input_raster=raster
##Input_vector=vector
##Transform_vector_to_raster_CRS=boolean
##Output_table=output table

import os
from osgeo import gdal, ogr, osr
#from processing.core.TableWriter import TableWriter
#from processing.core.GeoAlgorithmExecutionException import \
#        GeoAlgorithmExecutionException
#from processing.tools.raster import *

Input_raster = "./data/extract_test.tif"
Input_vector = "./data/extract_test.shp"

def mapToPixel( mX, mY, geoTransform ):
  if geoTransform[ 2 ] + geoTransform[ 4 ] == 0:
    pX = ( mX - geoTransform[ 0 ] ) / geoTransform[ 1 ]
    pY = ( mY - geoTransform[ 3 ] ) / geoTransform[ 5 ]
  else:
    pX, pY = applyGeoTransform( mX, mY, invertGeoTransform( geoTransform ) )
  return int( pX + 0.5 ), int( pY + 0.5 )

def pixelToMap( pX, pY, geoTransform ):
  mX, mY = applyGeoTransform( pX, pY, geoTransform )
  return mX, mY

def applyGeoTransform( inX, inY, geoTransform ):
  outX = geoTransform[ 0 ] + inX * geoTransform[ 1 ] + inY * geoTransform[ 2 ]
  outY = geoTransform[ 3 ] + inX * geoTransform[ 4 ] + inY * geoTransform[ 5 ]
  return outX, outY

def invertGeoTransform( geoTransform ):
  det = geoTransform[ 1 ] * geoTransform[ 5 ] - geoTransform[ 2 ] * geoTransform[ 4 ]

  if abs( det ) < 0.000000000000001:
    return

  invDet = 1.0 / det

  # compute adjoint and divide by determinate
  outGeoTransform = [ 0, 0, 0, 0, 0, 0 ]
  outGeoTransform[ 1 ] = geoTransform[ 5 ] * invDet
  outGeoTransform[ 4 ] = -geoTransform[ 4 ] * invDet

  outGeoTransform[ 2 ] = -geoTransform[ 2 ] * invDet
  outGeoTransfrom[ 5 ] = geoTransform[ 1 ] * invDet

  outGeoTransform[ 0 ] = ( geoTransform[ 2 ] * geoTransform[ 3 ] - geoTransform[ 0 ] * geoTransform[ 5 ] ) * invDet
  outGeoTransform[ 3 ] = ( -geoTransform[ 1 ] * geoTransform[ 3 ] + geoTransform[ 0 ] * geoTransform[ 4 ] ) * invDet

  return outGeoTransform


raster = gdal.Open(Input_raster)

rasterBaseName = os.path.splitext(os.path.basename(Input_raster))[0]

bandCount = raster.RasterCount
rasterXSize = raster.RasterXSize
rasterYSize = raster.RasterYSize
geoTransform = raster.GetGeoTransform()
rasterCRS = osr.SpatialReference()
rasterCRS.ImportFromWkt(raster.GetProjectionRef())

vector = ogr.Open(Input_vector, False)
layer = vector.GetLayer(0)
featureCount = layer.GetFeatureCount()
if featureCount == 0:
    raise GeoAlgorithmExecutionException(
            'There are no features in input vector.')

vectorCRS = layer.GetSpatialRef()

columns = []
featureDefn = layer.GetLayerDefn()
for i in xrange(featureDefn.GetFieldCount()):
    fieldDefn = featureDefn.GetFieldDefn(i)
    columns.append([fieldDefn.GetNameRef()])

layer.ResetReading()
feature = layer.GetNextFeature()
while feature is not None:
    for i in xrange(featureDefn.GetFieldCount()):
        fieldDefn = featureDefn.GetFieldDefn(i)
        if fieldDefn.GetType() == ogr.OFTInteger:
            columns[i].append(feature.GetFieldAsInteger(i))
        elif fieldDefn.GetType() == ogr.OFTReal:
            columns[i].append(feature.GetFieldAsDouble(i))
        else:
            columns[i].append(feature.GetFieldAsString(i))
    feature = layer.GetNextFeature()

current = 0
total = bandCount + featureCount * bandCount

#if Transform_vector_to_raster_CRS:
#    coordTransform = osr.CoordinateTransformation(vectorCRS, rasterCRS)
#    if coordTransform is None:
#        raise GeoAlgorithmExecutionException(
#                'Error while creating coordinate transformation.')

columnName = rasterBaseName[:8]
for i in xrange(bandCount):
    current += 1
#    progress.setPercentage(int(current * total))

    rasterBand = raster.GetRasterBand(i + 1)
    try:
        data = rasterBand.ReadAsArray()
    except:
        raise GeoAlgorithmExecutionException(
                'Error reading raster data. File might be too big.')
    layer.ResetReading()
    feature = layer.GetNextFeature()
    col = []
    col.append(columnName + '_' + str(i + 1))
    while feature is not None:
        current += 1
#        progress.setPercentage(int(current * total))

        geometry = feature.GetGeometryRef()
        x = geometry.GetX()
        y = geometry.GetY()
#        if Transform_vector_to_raster_CRS:
#            pnt = coordTransform.TransformPoint(x, y, 0)
#            x = pnt[0]
#            y = pnt[1]
        (rX, rY) = mapToPixel(x, y, geoTransform)
        if rX >= rasterXSize or rY >= rasterYSize:
            feature = layer.GetNextFeature()
            continue
        value = data[rY, rX]
        col.append(value)

        feature = layer.GetNextFeature()

    rasterBand = None
    columns.append(col)

import pdb; pdb.set_trace()
raster = None
vector.Destroy()

writer = TableWriter(Output_table, 'utf-8', [])
row = []
for i in xrange(len(columns[0])):
    for col in columns:
        row.append(col[i])
    print col
    writer.addRecord(row)
    row[:] = []