How to reclassify multiple raster files based on band values in Python

KK2 — Fri, 25 Sep 2020 12:10:33 GMT

I would like to reclassify several raster files (having four bands) into 0,1 binary raster files based on raster values of each band. I would like to assign 1 into all pixels in the image that fulfil the following Raster Calculator assumption:

("_21_cropped.tif - Band_1" == 170) & ("_21_cropped.tif - Band_2" == 255) & ("_21_cropped.tif - Band_3" == 170)

I have found that I can do this automatically with ArcPy with this code (also attached below). I should add the assumption on the penultimate line here: <desired_value> However I don't know how to implement the assumption mentioned above so that it works. I would be grateful for any tips in this matter.

# Import the necessary module
import arcpy
from arcpy import env
from arcpy.sa import *

# Specify the desired workspace
arcpy.env.workspace = r"L:\processing\forest.gdb"
arcpy.env.scratchWorkspace = r"L:\processing\forest.gdb"

# Print the list of available raster files in the folder
raster_list = arcpy.ListRasters("*")
print (raster_list)

# Check out the Spatial Analyst extension.
try:
if arcpy.CheckExtension("Spatial") == "Available":
arcpy.CheckOutExtension("Spatial")
print ("Checked out \"Spatial\" Extension")
else:
raise LicenseError
except LicenseError:
print "Spatial Analyst license is unavailable"
except:
print arcpy.GetMessages(2)

# Loop through all the raster files, perform the calculation, and specify the desired save folder.
for raster in raster_list:
ras = raster_file(raster)
outraster = ras * <desired_value>
outraster.save(r"L:\processing\forest.gdb" + "\\" + raster)

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How to reclassify multiple raster files based on band values in Python