batch reclassify rasters

[WadeGivens]

I'm trying to batch reclassify a set of rasters in ModelBuilder by assigning an interger from 1-8.  So if raster value is 1-1.5 =1.5-2.5=3, ...... 7.5-8=8

I know I can put these values in a table, but it would be nice to embed it in the model for portability.

Thanks!

[BrianCohen · Accepted solution]

Hi

If you want to do it directly with Python, here's an example. Bear in mind that this works on integer rasters, so you will need to modify the remap table function.

# Name: reclassify_example02.py
# Description: Reclassifies the values in a raster.
# Requirements: Spatial Analyst Extension
# Author: ESRI, modified by Brian Cohen

# Import system modules
import arcpy
from arcpy import env
from arcpy.sa import *
import os

# Set environment settings
env.workspace = "N:/South_Coast/Geo_Data/Climate/SDMs/plantsout"
count = 0

# Get list of rasters from workspace
rasterList = arcpy.ListRasters("*", "All")

# sort alphabetically
rasterList.sort()

for inRaster in rasterList:

# set the reclassify field
    reclassField = "Value"

# create the remap value table (here, changing all values to 0 save for 1, which remains the same)
    remap = RemapValue([[0, 0], [1, 1],[2, 0],[3, 0],[4, 0],[5, 0],[6, 0],[7, 0]])

# Check out the ArcGIS Spatial Analyst extension license
    arcpy.CheckOutExtension("Spatial")

# Execute Reclassify
    outReclassify = Reclassify(inRaster, reclassField, remap, "NODATA")

# set the output path
    outpath = "N:/South_Coast/Geo_Data/Climate/SDMs/plantscores/score01/"

# Save the output
    output = os.path.join(outpath, inRaster)
    outReclassify.save(output)

[WadeGivens]

That works perfectly.  Now if I could only do this based on unique to each raster, quantile classification....