How to create a single raster based on the values of three rasters (Conditional)?
Clash Royale CLAN TAG#URR8PPP
I have three rasters of soil granulometric fractions (clay, sand and silt), all in %. I want to make a single raster of the soil texture classes. For that, I need to make some conditionals (i. e.: when sand > 90 and clay < 10, so the class in the new raster must have the value 1).
Any suggestion? I'm using Arcgis 10.6.
arcgis-desktop spatial-analyst raster-calculator arcgis-10.6 conditional
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
add a comment |
I have three rasters of soil granulometric fractions (clay, sand and silt), all in %. I want to make a single raster of the soil texture classes. For that, I need to make some conditionals (i. e.: when sand > 90 and clay < 10, so the class in the new raster must have the value 1).
Any suggestion? I'm using Arcgis 10.6.
arcgis-desktop spatial-analyst raster-calculator arcgis-10.6 conditional
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
Do they have the same extent and resolution?
– BERA
Feb 15 at 12:55
1
Did you take a look at the raster calculator of arcgis ?
– nmatton
Feb 15 at 12:58
@BERA yes. All the rasters hava the same resolution.
– Diêgo Araújo
Feb 15 at 13:00
add a comment |
I have three rasters of soil granulometric fractions (clay, sand and silt), all in %. I want to make a single raster of the soil texture classes. For that, I need to make some conditionals (i. e.: when sand > 90 and clay < 10, so the class in the new raster must have the value 1).
Any suggestion? I'm using Arcgis 10.6.
arcgis-desktop spatial-analyst raster-calculator arcgis-10.6 conditional
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
I have three rasters of soil granulometric fractions (clay, sand and silt), all in %. I want to make a single raster of the soil texture classes. For that, I need to make some conditionals (i. e.: when sand > 90 and clay < 10, so the class in the new raster must have the value 1).
Any suggestion? I'm using Arcgis 10.6.
arcgis-desktop spatial-analyst raster-calculator arcgis-10.6 conditional
arcgis-desktop spatial-analyst raster-calculator arcgis-10.6 conditional
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
edited Feb 15 at 12:45
PolyGeo♦
53.6k1781243
53.6k1781243
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
asked Feb 15 at 11:20
Diêgo AraújoDiêgo Araújo
62
62
Do they have the same extent and resolution?
– BERA
Feb 15 at 12:55
1
Did you take a look at the raster calculator of arcgis ?
– nmatton
Feb 15 at 12:58
@BERA yes. All the rasters hava the same resolution.
– Diêgo Araújo
Feb 15 at 13:00
add a comment |
Do they have the same extent and resolution?
– BERA
Feb 15 at 12:55
1
Did you take a look at the raster calculator of arcgis ?
– nmatton
Feb 15 at 12:58
@BERA yes. All the rasters hava the same resolution.
– Diêgo Araújo
Feb 15 at 13:00
Do they have the same extent and resolution?
– BERA
Feb 15 at 12:55
Do they have the same extent and resolution?
– BERA
Feb 15 at 12:55
1
1
Did you take a look at the raster calculator of arcgis ?
– nmatton
Feb 15 at 12:58
Did you take a look at the raster calculator of arcgis ?
– nmatton
Feb 15 at 12:58
@BERA yes. All the rasters hava the same resolution.
– Diêgo Araújo
Feb 15 at 13:00
@BERA yes. All the rasters hava the same resolution.
– Diêgo Araújo
Feb 15 at 13:00
add a comment |
2 Answers
2
active
oldest
votes
Try converting your rasters to numpy arrays, build a classifying function and convert resulting Array back to raster. (This way you dont need Spatial Analyst extension)
Example with two random rasters with values from 0-1. Modify the function etc:
import numpy as np
import arcpy
raster1 = "randraster_1" #Change
raster2 = "randraster_2" #Change
output_raster = r'C:Default.gdbresultraster123' #Change
arr1 = arcpy.RasterToNumPyArray(raster1)
arr2 = arcpy.RasterToNumPyArray(raster2)
def whatsoil(a,b):
if a>b:
return 1
elif a<b:
return 2
else:
return 3
vwhatsoil = np.vectorize(whatsoil)
arr3 = vwhatsoil(arr1, arr2)
desc = arcpy.Describe(raster1+r'/Band_1')
arcpy.env.outputCoordinateSystem = desc.spatialReference
resultraster = arcpy.NumPyArrayToRaster(in_array=arr3, lower_left_corner=desc.extent.lowerLeft, x_cell_size=desc.meanCellHeight, y_cell_size=desc.meanCellWidth)
resultraster.save(output_raster)
answered Feb 15 at 13:18
BERABERA
16.5k52043
if you're using numpy, you'll likely get much better performance withnumpy.whereover yourwhatsoilfunction
– Paul H
Feb 15 at 17:59
Ok! I did not know how to do it with 3 input arrays and many if elses so i used a function instead
– BERA
Feb 15 at 18:01
1
You should be able tonumpy.where(a > b, 1, numpy.where(a < b, 2, 3)).numpy.selectworks in this case too.
– Paul H
Feb 15 at 23:13
add a comment |
you can also use the raster calculator, but it quickly creates long statement
Map algebra > raster calculator, for example :
Con(("sand" > 90) and ("clay" <10 ), 1, Con(("silt">50) and
("clay"<30),2,3)
The syntax is Con (condition, value if true, value if false)
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Try converting your rasters to numpy arrays, build a classifying function and convert resulting Array back to raster. (This way you dont need Spatial Analyst extension)
Example with two random rasters with values from 0-1. Modify the function etc:
import numpy as np
import arcpy
raster1 = "randraster_1" #Change
raster2 = "randraster_2" #Change
output_raster = r'C:Default.gdbresultraster123' #Change
arr1 = arcpy.RasterToNumPyArray(raster1)
arr2 = arcpy.RasterToNumPyArray(raster2)
def whatsoil(a,b):
if a>b:
return 1
elif a<b:
return 2
else:
return 3
vwhatsoil = np.vectorize(whatsoil)
arr3 = vwhatsoil(arr1, arr2)
desc = arcpy.Describe(raster1+r'/Band_1')
arcpy.env.outputCoordinateSystem = desc.spatialReference
resultraster = arcpy.NumPyArrayToRaster(in_array=arr3, lower_left_corner=desc.extent.lowerLeft, x_cell_size=desc.meanCellHeight, y_cell_size=desc.meanCellWidth)
resultraster.save(output_raster)
answered Feb 15 at 13:18
BERABERA
16.5k52043
if you're using numpy, you'll likely get much better performance withnumpy.whereover yourwhatsoilfunction
– Paul H
Feb 15 at 17:59
Ok! I did not know how to do it with 3 input arrays and many if elses so i used a function instead
– BERA
Feb 15 at 18:01
1
You should be able tonumpy.where(a > b, 1, numpy.where(a < b, 2, 3)).numpy.selectworks in this case too.
– Paul H
Feb 15 at 23:13
add a comment |
Try converting your rasters to numpy arrays, build a classifying function and convert resulting Array back to raster. (This way you dont need Spatial Analyst extension)
Example with two random rasters with values from 0-1. Modify the function etc:
import numpy as np
import arcpy
raster1 = "randraster_1" #Change
raster2 = "randraster_2" #Change
output_raster = r'C:Default.gdbresultraster123' #Change
arr1 = arcpy.RasterToNumPyArray(raster1)
arr2 = arcpy.RasterToNumPyArray(raster2)
def whatsoil(a,b):
if a>b:
return 1
elif a<b:
return 2
else:
return 3
vwhatsoil = np.vectorize(whatsoil)
arr3 = vwhatsoil(arr1, arr2)
desc = arcpy.Describe(raster1+r'/Band_1')
arcpy.env.outputCoordinateSystem = desc.spatialReference
resultraster = arcpy.NumPyArrayToRaster(in_array=arr3, lower_left_corner=desc.extent.lowerLeft, x_cell_size=desc.meanCellHeight, y_cell_size=desc.meanCellWidth)
resultraster.save(output_raster)
answered Feb 15 at 13:18
BERABERA
16.5k52043
if you're using numpy, you'll likely get much better performance withnumpy.whereover yourwhatsoilfunction
– Paul H
Feb 15 at 17:59
Ok! I did not know how to do it with 3 input arrays and many if elses so i used a function instead
– BERA
Feb 15 at 18:01
1
You should be able tonumpy.where(a > b, 1, numpy.where(a < b, 2, 3)).numpy.selectworks in this case too.
– Paul H
Feb 15 at 23:13
add a comment |
Try converting your rasters to numpy arrays, build a classifying function and convert resulting Array back to raster. (This way you dont need Spatial Analyst extension)
Example with two random rasters with values from 0-1. Modify the function etc:
import numpy as np
import arcpy
raster1 = "randraster_1" #Change
raster2 = "randraster_2" #Change
output_raster = r'C:Default.gdbresultraster123' #Change
arr1 = arcpy.RasterToNumPyArray(raster1)
arr2 = arcpy.RasterToNumPyArray(raster2)
def whatsoil(a,b):
if a>b:
return 1
elif a<b:
return 2
else:
return 3
vwhatsoil = np.vectorize(whatsoil)
arr3 = vwhatsoil(arr1, arr2)
desc = arcpy.Describe(raster1+r'/Band_1')
arcpy.env.outputCoordinateSystem = desc.spatialReference
resultraster = arcpy.NumPyArrayToRaster(in_array=arr3, lower_left_corner=desc.extent.lowerLeft, x_cell_size=desc.meanCellHeight, y_cell_size=desc.meanCellWidth)
resultraster.save(output_raster)
answered Feb 15 at 13:18
BERABERA
16.5k52043
Try converting your rasters to numpy arrays, build a classifying function and convert resulting Array back to raster. (This way you dont need Spatial Analyst extension)
Example with two random rasters with values from 0-1. Modify the function etc:
import numpy as np
import arcpy
raster1 = "randraster_1" #Change
raster2 = "randraster_2" #Change
output_raster = r'C:Default.gdbresultraster123' #Change
arr1 = arcpy.RasterToNumPyArray(raster1)
arr2 = arcpy.RasterToNumPyArray(raster2)
def whatsoil(a,b):
if a>b:
return 1
elif a<b:
return 2
else:
return 3
vwhatsoil = np.vectorize(whatsoil)
arr3 = vwhatsoil(arr1, arr2)
desc = arcpy.Describe(raster1+r'/Band_1')
arcpy.env.outputCoordinateSystem = desc.spatialReference
resultraster = arcpy.NumPyArrayToRaster(in_array=arr3, lower_left_corner=desc.extent.lowerLeft, x_cell_size=desc.meanCellHeight, y_cell_size=desc.meanCellWidth)
resultraster.save(output_raster)
answered Feb 15 at 13:18
BERABERA
16.5k52043
edited Feb 15 at 13:55
answered Feb 15 at 13:18
BERABERA
16.5k52043
answered Feb 15 at 13:18
BERABERA
16.5k52043
answered Feb 15 at 13:18
BERABERA
16.5k52043
16.5k52043
if you're using numpy, you'll likely get much better performance withnumpy.whereover yourwhatsoilfunction
– Paul H
Feb 15 at 17:59
Ok! I did not know how to do it with 3 input arrays and many if elses so i used a function instead
– BERA
Feb 15 at 18:01
1
You should be able tonumpy.where(a > b, 1, numpy.where(a < b, 2, 3)).numpy.selectworks in this case too.
– Paul H
Feb 15 at 23:13
add a comment |
if you're using numpy, you'll likely get much better performance withnumpy.whereover yourwhatsoilfunction
– Paul H
Feb 15 at 17:59
Ok! I did not know how to do it with 3 input arrays and many if elses so i used a function instead
– BERA
Feb 15 at 18:01
1
You should be able tonumpy.where(a > b, 1, numpy.where(a < b, 2, 3)).numpy.selectworks in this case too.
– Paul H
Feb 15 at 23:13
if you're using numpy, you'll likely get much better performance with
numpy.where over your whatsoil function– Paul H
Feb 15 at 17:59
if you're using numpy, you'll likely get much better performance with
numpy.where over your whatsoil function– Paul H
Feb 15 at 17:59
Ok! I did not know how to do it with 3 input arrays and many if elses so i used a function instead
– BERA
Feb 15 at 18:01
Ok! I did not know how to do it with 3 input arrays and many if elses so i used a function instead
– BERA
Feb 15 at 18:01
1
1
You should be able to
numpy.where(a > b, 1, numpy.where(a < b, 2, 3)). numpy.select works in this case too.– Paul H
Feb 15 at 23:13
You should be able to
numpy.where(a > b, 1, numpy.where(a < b, 2, 3)). numpy.select works in this case too.– Paul H
Feb 15 at 23:13
add a comment |
you can also use the raster calculator, but it quickly creates long statement
Map algebra > raster calculator, for example :
Con(("sand" > 90) and ("clay" <10 ), 1, Con(("silt">50) and
("clay"<30),2,3)
The syntax is Con (condition, value if true, value if false)
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
add a comment |
you can also use the raster calculator, but it quickly creates long statement
Map algebra > raster calculator, for example :
Con(("sand" > 90) and ("clay" <10 ), 1, Con(("silt">50) and
("clay"<30),2,3)
The syntax is Con (condition, value if true, value if false)
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
add a comment |
you can also use the raster calculator, but it quickly creates long statement
Map algebra > raster calculator, for example :
Con(("sand" > 90) and ("clay" <10 ), 1, Con(("silt">50) and
("clay"<30),2,3)
The syntax is Con (condition, value if true, value if false)
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
you can also use the raster calculator, but it quickly creates long statement
Map algebra > raster calculator, for example :
Con(("sand" > 90) and ("clay" <10 ), 1, Con(("silt">50) and
("clay"<30),2,3)
The syntax is Con (condition, value if true, value if false)
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
answered Feb 15 at 14:14
radouxjuradouxju
40.8k143119
40.8k143119
add a comment |
add a comment |
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Do they have the same extent and resolution?
– BERA
Feb 15 at 12:55
1
Did you take a look at the raster calculator of arcgis ?
– nmatton
Feb 15 at 12:58
@BERA yes. All the rasters hava the same resolution.
– Diêgo Araújo
Feb 15 at 13:00