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Reclassifying raster with 33 bands in ArcMap?


Display a raster stack with several bands in ArcGIS?Bands disappear after Raster Calculation ArcGISCreating Quantile classes when reclassifying raster in QGIS?Reclassifying multiple rasters in ArcGIS Desktop?Why is ArcPy script looping through bands slow?Is it possible to read in specific bands from a multi-band raster with gdal or rasterio?Reclassify Raster in ArcGIS Pro 2 by Multiple BandsRetaining integer values in raster when reclassifying values in QGIS?Identify spectral bands in a multispectral raster datasetGet colortable from three-band RGB raster (brick) with R






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








0















I have a file geodatabase raster dataset with 33 bands. Each band is comprised of pixels with values 1-31. This represents 33 years of landuse cover data (with 31 different landuse classes). I'm trying to move from this format to a single TIFF file that has 1 band comprised of pixels with the value 1-33, corresponding to the year that the pixel switched from forest to non-forest. Its a huge file (100GB), so I need to reduce the file size before I can do any analysis.



My plan is to reclassify each band/year into 0 (forest) and 1 (non-forest), then sum all the bands (using the raster calculator, I think?). However, the reclassify tool is only reclassifying a single band.



How do I do this for all the bands.










share|improve this question
























  • If result of sum will say 2, what that means for you?

    – FelixIP
    Apr 3 at 1:41











  • @FelixIP I could use it to calculate the year of deforestation. The dataset goes through 2017, so for each pixel, it would be 2017- (final raster value) = year deforested

    – Jacy Hyde
    Apr 3 at 13:56

















0















I have a file geodatabase raster dataset with 33 bands. Each band is comprised of pixels with values 1-31. This represents 33 years of landuse cover data (with 31 different landuse classes). I'm trying to move from this format to a single TIFF file that has 1 band comprised of pixels with the value 1-33, corresponding to the year that the pixel switched from forest to non-forest. Its a huge file (100GB), so I need to reduce the file size before I can do any analysis.



My plan is to reclassify each band/year into 0 (forest) and 1 (non-forest), then sum all the bands (using the raster calculator, I think?). However, the reclassify tool is only reclassifying a single band.



How do I do this for all the bands.










share|improve this question
























  • If result of sum will say 2, what that means for you?

    – FelixIP
    Apr 3 at 1:41











  • @FelixIP I could use it to calculate the year of deforestation. The dataset goes through 2017, so for each pixel, it would be 2017- (final raster value) = year deforested

    – Jacy Hyde
    Apr 3 at 13:56













0












0








0


1






I have a file geodatabase raster dataset with 33 bands. Each band is comprised of pixels with values 1-31. This represents 33 years of landuse cover data (with 31 different landuse classes). I'm trying to move from this format to a single TIFF file that has 1 band comprised of pixels with the value 1-33, corresponding to the year that the pixel switched from forest to non-forest. Its a huge file (100GB), so I need to reduce the file size before I can do any analysis.



My plan is to reclassify each band/year into 0 (forest) and 1 (non-forest), then sum all the bands (using the raster calculator, I think?). However, the reclassify tool is only reclassifying a single band.



How do I do this for all the bands.










share|improve this question
















I have a file geodatabase raster dataset with 33 bands. Each band is comprised of pixels with values 1-31. This represents 33 years of landuse cover data (with 31 different landuse classes). I'm trying to move from this format to a single TIFF file that has 1 band comprised of pixels with the value 1-33, corresponding to the year that the pixel switched from forest to non-forest. Its a huge file (100GB), so I need to reduce the file size before I can do any analysis.



My plan is to reclassify each band/year into 0 (forest) and 1 (non-forest), then sum all the bands (using the raster calculator, I think?). However, the reclassify tool is only reclassifying a single band.



How do I do this for all the bands.







arcmap reclassify multi-band






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Apr 2 at 21:37









PolyGeo

53.9k1781245




53.9k1781245










asked Apr 2 at 21:10









Jacy HydeJacy Hyde

183




183












  • If result of sum will say 2, what that means for you?

    – FelixIP
    Apr 3 at 1:41











  • @FelixIP I could use it to calculate the year of deforestation. The dataset goes through 2017, so for each pixel, it would be 2017- (final raster value) = year deforested

    – Jacy Hyde
    Apr 3 at 13:56

















  • If result of sum will say 2, what that means for you?

    – FelixIP
    Apr 3 at 1:41











  • @FelixIP I could use it to calculate the year of deforestation. The dataset goes through 2017, so for each pixel, it would be 2017- (final raster value) = year deforested

    – Jacy Hyde
    Apr 3 at 13:56
















If result of sum will say 2, what that means for you?

– FelixIP
Apr 3 at 1:41





If result of sum will say 2, what that means for you?

– FelixIP
Apr 3 at 1:41













@FelixIP I could use it to calculate the year of deforestation. The dataset goes through 2017, so for each pixel, it would be 2017- (final raster value) = year deforested

– Jacy Hyde
Apr 3 at 13:56





@FelixIP I could use it to calculate the year of deforestation. The dataset goes through 2017, so for each pixel, it would be 2017- (final raster value) = year deforested

– Jacy Hyde
Apr 3 at 13:56










1 Answer
1






active

oldest

votes


















0














Big task it is. So set environment settings - cell size, snap raster and extent, to ones of that raster.
Run script below from ArcMap or ArcCatalog:



import arcpy
from arcpy.sa import *
## change next 2 lines
ForestCode=184
multiBand="F:/AERIALS/Rectified/image0051.tif"
## output raster name
outRaster = arcpy.GetParameterAsText(0)

nBands=int(arcpy.GetRasterProperties_management(multiBand, "BANDCOUNT")[0])
outList=[]
for i in range(nBands):
arcpy.MakeRasterLayer_management(multiBand,"AFTER","","",i+1)
after=arcpy.Raster("AFTER")
if i>0:
deforest=Con((before==ForestCode) & (after != ForestCode),i)
outList.append(deforest)
before=after*1
arcpy.AddMessage("Band %i processed" %i)
arcpy.AddMessage("Computing last year of deforestation ...")
deforest=CellStatistics(outList, "MAXIMUM", "DATA")
deforest.save(outRaster)


I strongly suggest to test it on a tiny subset first, i.e. clip bit of that monster in the area where deforestation certainly happened.



Update:



Replace 184 by value that represents forest in your raster.
Script compares consecutive pair of bands - before and after - to find when last deforestation happened.



If you think that 'before' is not defined during first reference, have a better look at the code.






share|improve this answer

























  • thanks for answering. I'm going to be honest, I have absolutely no idea what this code is doing. I have a few specific questions, but would you mind explaining what's happening here in general? I also specifically don't understand the line ForestCode= 184. What is this line doing/ what is 184? also, can you explain what's happening with before==ForestCode?-- "before" isn't defined prior to this line.

    – Jacy Hyde
    yesterday











Your Answer








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1 Answer
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1 Answer
1






active

oldest

votes









active

oldest

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active

oldest

votes









0














Big task it is. So set environment settings - cell size, snap raster and extent, to ones of that raster.
Run script below from ArcMap or ArcCatalog:



import arcpy
from arcpy.sa import *
## change next 2 lines
ForestCode=184
multiBand="F:/AERIALS/Rectified/image0051.tif"
## output raster name
outRaster = arcpy.GetParameterAsText(0)

nBands=int(arcpy.GetRasterProperties_management(multiBand, "BANDCOUNT")[0])
outList=[]
for i in range(nBands):
arcpy.MakeRasterLayer_management(multiBand,"AFTER","","",i+1)
after=arcpy.Raster("AFTER")
if i>0:
deforest=Con((before==ForestCode) & (after != ForestCode),i)
outList.append(deforest)
before=after*1
arcpy.AddMessage("Band %i processed" %i)
arcpy.AddMessage("Computing last year of deforestation ...")
deforest=CellStatistics(outList, "MAXIMUM", "DATA")
deforest.save(outRaster)


I strongly suggest to test it on a tiny subset first, i.e. clip bit of that monster in the area where deforestation certainly happened.



Update:



Replace 184 by value that represents forest in your raster.
Script compares consecutive pair of bands - before and after - to find when last deforestation happened.



If you think that 'before' is not defined during first reference, have a better look at the code.






share|improve this answer

























  • thanks for answering. I'm going to be honest, I have absolutely no idea what this code is doing. I have a few specific questions, but would you mind explaining what's happening here in general? I also specifically don't understand the line ForestCode= 184. What is this line doing/ what is 184? also, can you explain what's happening with before==ForestCode?-- "before" isn't defined prior to this line.

    – Jacy Hyde
    yesterday















0














Big task it is. So set environment settings - cell size, snap raster and extent, to ones of that raster.
Run script below from ArcMap or ArcCatalog:



import arcpy
from arcpy.sa import *
## change next 2 lines
ForestCode=184
multiBand="F:/AERIALS/Rectified/image0051.tif"
## output raster name
outRaster = arcpy.GetParameterAsText(0)

nBands=int(arcpy.GetRasterProperties_management(multiBand, "BANDCOUNT")[0])
outList=[]
for i in range(nBands):
arcpy.MakeRasterLayer_management(multiBand,"AFTER","","",i+1)
after=arcpy.Raster("AFTER")
if i>0:
deforest=Con((before==ForestCode) & (after != ForestCode),i)
outList.append(deforest)
before=after*1
arcpy.AddMessage("Band %i processed" %i)
arcpy.AddMessage("Computing last year of deforestation ...")
deforest=CellStatistics(outList, "MAXIMUM", "DATA")
deforest.save(outRaster)


I strongly suggest to test it on a tiny subset first, i.e. clip bit of that monster in the area where deforestation certainly happened.



Update:



Replace 184 by value that represents forest in your raster.
Script compares consecutive pair of bands - before and after - to find when last deforestation happened.



If you think that 'before' is not defined during first reference, have a better look at the code.






share|improve this answer

























  • thanks for answering. I'm going to be honest, I have absolutely no idea what this code is doing. I have a few specific questions, but would you mind explaining what's happening here in general? I also specifically don't understand the line ForestCode= 184. What is this line doing/ what is 184? also, can you explain what's happening with before==ForestCode?-- "before" isn't defined prior to this line.

    – Jacy Hyde
    yesterday













0












0








0







Big task it is. So set environment settings - cell size, snap raster and extent, to ones of that raster.
Run script below from ArcMap or ArcCatalog:



import arcpy
from arcpy.sa import *
## change next 2 lines
ForestCode=184
multiBand="F:/AERIALS/Rectified/image0051.tif"
## output raster name
outRaster = arcpy.GetParameterAsText(0)

nBands=int(arcpy.GetRasterProperties_management(multiBand, "BANDCOUNT")[0])
outList=[]
for i in range(nBands):
arcpy.MakeRasterLayer_management(multiBand,"AFTER","","",i+1)
after=arcpy.Raster("AFTER")
if i>0:
deforest=Con((before==ForestCode) & (after != ForestCode),i)
outList.append(deforest)
before=after*1
arcpy.AddMessage("Band %i processed" %i)
arcpy.AddMessage("Computing last year of deforestation ...")
deforest=CellStatistics(outList, "MAXIMUM", "DATA")
deforest.save(outRaster)


I strongly suggest to test it on a tiny subset first, i.e. clip bit of that monster in the area where deforestation certainly happened.



Update:



Replace 184 by value that represents forest in your raster.
Script compares consecutive pair of bands - before and after - to find when last deforestation happened.



If you think that 'before' is not defined during first reference, have a better look at the code.






share|improve this answer















Big task it is. So set environment settings - cell size, snap raster and extent, to ones of that raster.
Run script below from ArcMap or ArcCatalog:



import arcpy
from arcpy.sa import *
## change next 2 lines
ForestCode=184
multiBand="F:/AERIALS/Rectified/image0051.tif"
## output raster name
outRaster = arcpy.GetParameterAsText(0)

nBands=int(arcpy.GetRasterProperties_management(multiBand, "BANDCOUNT")[0])
outList=[]
for i in range(nBands):
arcpy.MakeRasterLayer_management(multiBand,"AFTER","","",i+1)
after=arcpy.Raster("AFTER")
if i>0:
deforest=Con((before==ForestCode) & (after != ForestCode),i)
outList.append(deforest)
before=after*1
arcpy.AddMessage("Band %i processed" %i)
arcpy.AddMessage("Computing last year of deforestation ...")
deforest=CellStatistics(outList, "MAXIMUM", "DATA")
deforest.save(outRaster)


I strongly suggest to test it on a tiny subset first, i.e. clip bit of that monster in the area where deforestation certainly happened.



Update:



Replace 184 by value that represents forest in your raster.
Script compares consecutive pair of bands - before and after - to find when last deforestation happened.



If you think that 'before' is not defined during first reference, have a better look at the code.







share|improve this answer














share|improve this answer



share|improve this answer








edited yesterday

























answered Apr 3 at 19:43









FelixIPFelixIP

16.6k11642




16.6k11642












  • thanks for answering. I'm going to be honest, I have absolutely no idea what this code is doing. I have a few specific questions, but would you mind explaining what's happening here in general? I also specifically don't understand the line ForestCode= 184. What is this line doing/ what is 184? also, can you explain what's happening with before==ForestCode?-- "before" isn't defined prior to this line.

    – Jacy Hyde
    yesterday

















  • thanks for answering. I'm going to be honest, I have absolutely no idea what this code is doing. I have a few specific questions, but would you mind explaining what's happening here in general? I also specifically don't understand the line ForestCode= 184. What is this line doing/ what is 184? also, can you explain what's happening with before==ForestCode?-- "before" isn't defined prior to this line.

    – Jacy Hyde
    yesterday
















thanks for answering. I'm going to be honest, I have absolutely no idea what this code is doing. I have a few specific questions, but would you mind explaining what's happening here in general? I also specifically don't understand the line ForestCode= 184. What is this line doing/ what is 184? also, can you explain what's happening with before==ForestCode?-- "before" isn't defined prior to this line.

– Jacy Hyde
yesterday





thanks for answering. I'm going to be honest, I have absolutely no idea what this code is doing. I have a few specific questions, but would you mind explaining what's happening here in general? I also specifically don't understand the line ForestCode= 184. What is this line doing/ what is 184? also, can you explain what's happening with before==ForestCode?-- "before" isn't defined prior to this line.

– Jacy Hyde
yesterday

















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