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RuntimeError: ERROR 999998: Unexpected Error in Set null function

5362
35
06-19-2019 05:53 AM
BIJOYGAYEN
Emerging Contributor

I am trying to write one code where I use set null function for different images and also use a simple math function for scaling the images. But when I run this code after three processes it shows 

Traceback (most recent call last):
  File "F:\DB_test_data\python_script\FINAL_DB.py", line 192, in <module>
    arcpy.CopyRaster_management(toa_b2,OutRaster)
  File "C:\Program Files (x86)\ArcGIS\Desktop10.6\ArcPy\arcpy\management.py", line 14587, in CopyRaster
    raise e
RuntimeError: ERROR 999998: Unexpected Error.‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍

here is my code 

outdir="F:\\DB_test_data\\TEST_RAY\\TEST1\\c\\"
for a,b,c,d,e,f,g,h,i,j,k,l in zip (CLDMASK,AOD,TOA_B1,TOA_B2,Height,SenZen,SenAzm,SolZen,SolAzm,Sur_B1,Sur_B2,Sur_B3):
    print ("processing_a:"+ a)
    print ("processing_b:"+ b)
    print ("processing_c:"+ c)
    print ("processing_d:"+ d)
    print ("processing_e:"+ e)
    print ("processing_f:"+ f)
    print ("processing_g:"+ g)
    print ("processing_h:"+ h)
    print ("processing_i:"+ i)
    print ("processing_j:"+ j)
    print ("processing_k:"+ k)
    print ("processing_l:"+ l)
    #######################################################################
    #Cloud Mask scalling
    Scale_factor1 = float(1.0)
    add_offset1 = float(0.0)
    setnull1 =arcpy.gp.SetNull_sa(a,a, "in_memory/dat1", "\"Value\" <= 0")
    ras1=arcpy.Raster(setnull1)
    cldmask=(ras1-add_offset1)*Scale_factor1
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("cldmask"))
    #print OutRaster
    arcpy.CopyRaster_management(cldmask,OutRaster)
    arcpy.Delete_management("in_memory/dat1")

    #AOD scalling and set lessthan 0.1 AOD 
    Scale_factor2 = float(0.0010000000474974513)
    add_offset2 = float(0.0)
    setnull2 =arcpy.gp.SetNull_sa(b,b, "in_memory/dat2", "\"Value\" = -9999")
    ras2=arcpy.Raster(setnull2)
    aod=(ras2-add_offset2)*Scale_factor2
    aod_1 = Con((aod >= 0.0) & (aod <= 0.1),1)
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("aod_1"))
    #print OutRaster
    arcpy.CopyRaster_management(aod_1,OutRaster)
    arcpy.Delete_management("in_memory/dat2")

    #TOA_B1 scalling
    Scale_factor3 = float(0.000053811826)
    add_offset3 = float(-0.0)
    setnull3 =arcpy.gp.SetNull_sa(c,c, "in_memory/dat3", "\"Value\" = 65535")
    ras3=arcpy.Raster(setnull3)
    toa_b1=(ras3-(add_offset3))*Scale_factor3
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("toa_b1"))
    #print OutRaster
    arcpy.CopyRaster_management(toa_b1,OutRaster)
    arcpy.Delete_management("in_memory/dat3")

    #TOA_B2 Scalling
    Scale_factor4 = float(0.00003255546)
    add_offset4 = float(-0.0)
    setnull4 =arcpy.gp.SetNull_sa(d,d, "in_memory/dat4", "\"Value\" = 65535")
    ras4=arcpy.Raster(setnull4)
    toa_b2=(ras4-(add_offset4))*Scale_factor4
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("toa_b2"))
    #print OutRaster
    arcpy.CopyRaster_management(toa_b2,OutRaster)
    arcpy.Delete_management("in_memory/dat4")

    #Height
    setnull =arcpy.gp.SetNull_sa(e,e, "in_memory/dat5", "\"Value\" = -32767")
    ras=arcpy.Raster(setnull)
    height=ras
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("height"))
    #print OutRaster
    arcpy.CopyRaster_management(height,OutRaster)
    arcpy.Delete_management("in_memory/dat5")

    #Sensor Zenith angle
    Scale_factor6 = float(0.01)
    add_offset6 = float(0.0)
    setnull6 =arcpy.gp.SetNull_sa(f,f, "in_memory/dat6", "\"Value\" = -32767")
    ras6=arcpy.Raster(setnull6)
    senzen=(ras6-add_offset6)*Scale_factor6
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("senzen"))
    #print OutRaster
    arcpy.CopyRaster_management(senzen,OutRaster)
    arcpy.Delete_management("in_memory/dat6")

    #Sensor azimuth angle
    setnull7 =arcpy.gp.SetNull_sa(g,g, "in_memory/dat7", "\"Value\" = -32767")
    ras7=arcpy.Raster(setnull7)
    senazm=(ras7-add_offset6)*Scale_factor6
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("senazm"))
    #print OutRaster
    arcpy.CopyRaster_management(senazm,OutRaster)
    arcpy.Delete_management("in_memory/dat7")

    #solar zenithal angle
    setnull8 =arcpy.gp.SetNull_sa(h,h, "in_memory/dat8", "\"Value\" = -32767")
    ras8=arcpy.Raster(setnull8)
    solzen=(ras8-add_offset6)*Scale_factor6
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("solzen"))
    #print OutRaster
    arcpy.CopyRaster_management(solzen,OutRaster)
    arcpy.Delete_management("in_memory/dat8")

    #solar azimuth angle
    setnull9 =arcpy.gp.SetNull_sa(i,i, "in_memory/dat9", "\"Value\" = -32767")
    ras9=arcpy.Raster(setnull9)
    solazm=(ras9-add_offset6)*Scale_factor6
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("solazm"))
    #print OutRaster
    arcpy.CopyRaster_management(solazm,OutRaster)
    arcpy.Delete_management("in_memory/dat9")

    #(MODO9)surface reflectance band 1
    Scale_factor_10 = float(0.0001)
    add_offset_10 = float(0.0)
    setnull_10 =arcpy.gp.SetNull_sa(j,j, "in_memory/dat10", "\"Value\" = -28672")
    ras_10=arcpy.Raster(setnull_10)
    sur_b1=(ras_10-add_offset_10)*Scale_factor_10
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("sur_b1"))
    #print OutRaster
    arcpy.CopyRaster_management(sur_b1,OutRaster)
    arcpy.Delete_management("in_memory/dat10")

    #(MODO9)surface reflectance band 2
    setnull_11 =arcpy.gp.SetNull_sa(k,k, "in_memory/dat11", "\"Value\" = -28672")
    ras_11=arcpy.Raster(setnull_11)
    sur_b2=(ras_11-add_offset_10)*Scale_factor_10
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("sur_b2"))
    #print OutRaster
    arcpy.CopyRaster_management(sur_b2,OutRaster)
    arcpy.Delete_management("in_memory/dat11")
   

    #(MODO9)surface reflectance band 3
    setnull_12 =arcpy.gp.SetNull_sa(l,l, "in_memory/dat12", "\"Value\" = -28672")
    ras_12=arcpy.Raster(setnull_12)
    sur_b3=(ras_12- add_offset_10)*Scale_factor_10
    OutRaster = os.path.join(outdir,'MOd0.{0}.img'.format("sur_b3"))
    #print OutRaster
    arcpy.CopyRaster_management(sur_b3,OutRaster)
    arcpy.Delete_management("in_memory/dat12")‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍
#############################################################################
    # # Process: Extract by Cloud_Mask
    # tempEnvironment0 = arcpy.env.cellSize
    # arcpy.env.cellSize = "MAXOF"
    # toa_bb1=arcpy.gp.ExtractByMask_sa(toa_b1, cldmask)
    # toa_b22=arcpy.gp.ExtractByMask_sa(toa_b2, cldmask)
    # heightt=arcpy.gp.ExtractByMask_sa(height, cldmask)
    # senzenn=arcpy.gp.ExtractByMask_sa(senzen, cldmask)
    # senazmm=arcpy.gp.ExtractByMask_sa(senazm, cldmask)
    # solzenn=arcpy.gp.ExtractByMask_sa(solzen, cldmask)
    # solazmm=arcpy.gp.ExtractByMask_sa(solazm, cldmask)
    # sur_b11=arcpy.gp.ExtractByMask_sa(sur_b1, cldmask)
    # sur_b22=arcpy.gp.ExtractByMask_sa(sur_b2, cldmask)
    # sur_b33=arcpy.gp.ExtractByMask_sa(sur_b3, cldmask)
    # arcpy.env.cellSize = tempEnvironment0
    # # Process: Extract by Mask using AOD less than 0.1 value
    # tempEnvironment0 = arcpy.env.cellSize
    # arcpy.env.cellSize = cellsize
    # toa_b1=arcpy.gp.ExtractByMask_sa(toa_bb1, aod_1)
    # toa_b2=arcpy.gp.ExtractByMask_sa(toa_bb2, aod_1)
    # height=arcpy.gp.ExtractByMask_sa(heightt, aod_1)
    # senzen=arcpy.gp.ExtractByMask_sa(senzenn, aod_1)
    # senazm=arcpy.gp.ExtractByMask_sa(senazmm, aod_1)
    # solzen=arcpy.gp.ExtractByMask_sa(solzenn, aod_1)
    # solazm=arcpy.gp.ExtractByMask_sa(solazmm, aod_1)
    # sur_b1=arcpy.gp.ExtractByMask_sa(sur_b11, aod_1)
    # sur_b2=arcpy.gp.ExtractByMask_sa(sur_b22, aod_1)
    # sur_b3=arcpy.gp.ExtractByMask_sa(sur_b33, aod_1)
    # arcpy.env.cellSize = tempEnvironment0



    #############################################################################
    #Calculate the scattering angle from Resample MOD03 products
      #Css = Cos(S2 * !pi / 180.D) IDL
      #Css = np.cos(S2 * np.pi / 180) Python
    # CosSenZ = np.Cos(senzen * np.pi / 180)
    # CosSolZ = np.Cos(solzen * np.pi / 180)
    # SinSenZ = np.Sin(senzen * np.pi / 180)
    # SinSolZ = np.Sin(solzen * np.pi / 180)

    # RelAzm = np.abs((senazm ) - (solazm))
    # index = np.where(RelAzm > 180.0)
    # RelAzm[index] = 360.0- RelAzm[index]
    # index = np.where(RelAzm <= 180.0)
    # RelAzm[index] = 180.0- RelAzm[index]
    # CosRe = np.Cos(np.radians(RelAzm))

    # SctAgl =  np.acos((-CosSolZ * CosSenZ) + ((SinSolZ * SinSenZ) * CosRelA))

    # #Ray_correction for TOA_BAND_1 and TOA_BAND_2
    # #TOA_BAND_1
    # B1_ROD = (0.00864 + (0.0000065)) * (0.67)**(-(3.916 + (0.074 * 0.67)+ (0.05/0.67)))#for RED band, please change 0.67 for other bands wavelength
    # Pr1 =  (3./16.*np.pi) * (1 + (np.cos(SctAgl) * np.cos(SctAgl)))
    # wr1 = 1.0
    # RayRef_B1 = (wr1 * B1_ROD * Pr1 ) / (4.0 * (CosSolZ * CosSenZ))
    # RCR_B1 = toa_b1 - RayRef_B1
    # #TOA_BAND_2
    # B2_ROD = (0.00864 + (0.0000065)) * (0.86)**(-(3.916 + (0.074 * 0.86)+ (0.05/0.86)))#for Near Infrared (NIR) band, please change 0.86 for other bands wavelength
    # Pr2 =  (3./16.*np.pi) * (1 + (np.cos(SctAgl) * np.cos(SctAgl)))
    # wr2 = 1.0
    # RayRef_B2 = (wr2 * B2_ROD * Pr2 ) / (4.0 * (CosSolZ * CosSenZ))
    # RCR_B2 = toa_b2 - RayRef_B2

    #Calculating NDVI float raster
    # ndvi_raster = Divide(Float(Raster(toa_b2) - Raster(toa_b1)), Float(Raster(toa_b2) + Raster(toa_b1)))

    # ndvi = (Float(toa_b2) - toa_b1) / (Float(toa_b2) + toa_b1)


print arcpy.GetMessages()
print 'finished run: %s\n\n' % (datetime.datetime.now() - start)
‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍

I can't understand why it shows this error.

please help me, anyone, to resolve this matter.

And have any way to use a "foor loop" for set null function of different images?

Xander Bakker

Luke Webb‌,

Joshua Bixby

Joe Borgione

Dan Patterson

0 Kudos
35 Replies
XanderBakker
Esri Esteemed Contributor

Hi BIJOY GAYEN ,

I haven't  been able to find the time yet to validate the script with your data. I did download the data, but I still need to validate what might be causing the error. 

Hopefully, I will be able to do this soon, but I have a long list of things that I have to do, so I can't promise you that I will be able to do this today or tomorrow.

0 Kudos
XanderBakker
Esri Esteemed Contributor

Hi BIJOY GAYEN ,

In order for you to continue, a view pointers:

  • On line 316, you are using np.acos, this should be np.arccos
  • On line 316 you also use a numpy array variable called "cosRelA". This one does not exist, perhaps it is "cosRe" created on row 314
  • On line 324 you are creating "toa_b2_na" when this should be "toa_b1_na" created based on "toa_b1" (I guess)
  • On line 325 your script will produce an error since the numpy arrays have different dimensions: "ValueError: operands could not be broadcast together with shapes (202,1007) (203,1008)". Make sure that all raster have the same extent and pixel size before converting them to numpy arrays and combining them (use a proper snap raster, extent and pixelsize in your settings)
BIJOYGAYEN
Emerging Contributor

Hello Xander Bakker‌ sir,

I rechecked my code as per your suggestion, But when I try to save the output SctAgl  and toa_b1 after some processes this code gave me some error in output (the output gave me blank result with unwanted value range in two images)

SctAgl:

Toa_B1:

Second, when I run this code it shows some unwanted messages, I cannot understand why these messages occur

F:\DB_test_data\python_script\FINAL_DB.py:298: RuntimeWarning: overflow encountered in multiply
  cosSenZ = np.cos(senzen_na * np.pi / 180)
F:\DB_test_data\python_script\FINAL_DB.py:298: RuntimeWarning: invalid value encountered in cos
  cosSenZ = np.cos(senzen_na * np.pi / 180)
F:\DB_test_data\python_script\FINAL_DB.py:300: RuntimeWarning: overflow encountered in multiply
  cosSolZ = np.cos(cosSolZ_na * np.pi / 180)
F:\DB_test_data\python_script\FINAL_DB.py:300: RuntimeWarning: invalid value encountered in cos
  cosSolZ = np.cos(cosSolZ_na * np.pi / 180)
F:\DB_test_data\python_script\FINAL_DB.py:302: RuntimeWarning: overflow encountered in multiply
  sinSenZ = np.sin(sinSenZ_na * np.pi / 180)
F:\DB_test_data\python_script\FINAL_DB.py:302: RuntimeWarning: invalid value encountered in sin
  sinSenZ = np.sin(sinSenZ_na * np.pi / 180)
F:\DB_test_data\python_script\FINAL_DB.py:304: RuntimeWarning: overflow encountered in multiply
  sinSolZ = np.sin(sinSolZ_na * np.pi / 180)
F:\DB_test_data\python_script\FINAL_DB.py:304: RuntimeWarning: invalid value encountered in sin
  sinSolZ = np.sin(sinSolZ_na * np.pi / 180)‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍

Third things, when I try to run this code with row data (whole India) after some processing it shows memory issue 

 

    sinSenZ_na = arcpy.RasterToNumPyArray(senzen)
  File "C:\Program Files (x86)\ArcGIS\Desktop10.6\ArcPy\arcpy\__init__.py", line 2275, in RasterToNumPyArray
    return _RasterToNumPyArray(*args, **kwargs)
MemoryError

There is no option, without conversion (Raster To Numpy and then Numpy To Raster) to write the code for raster data analysis directly use cos, sin, subtract, plus, minus, division function, etc. I am totally confused to write this code. Give any solution regarding this issue.

Dan PattersonJoe BorgioneJoshua BixbyLuke Webb

My_full_code:

#-------------------------------------------------------------------------------
# Name:        module1
# Purpose:
#
# Author:      HONEY
#
# Created:     18-06-2019
# Copyright:   (c) HONEY 2019
# Licence:     <your licence>
#-------------------------------------------------------------------------------

import datetime
start = datetime.datetime.now()
print 'start run: %s\n' % (start)
import arcpy ,os ,sys,csv,errno
from arcpy import env
from arcpy.sa import *
import datetime
import re
import glob
import itertools
import math
import numpy as np  



arcpy.CheckOutExtension('Spatial')
arcpy.env.overwriteOutput = True

cellsize = "F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip\\MOD02HKM_A2017001_0530_NDVI_AA.img"
#Call cloud mask images from directory
d1="F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip"
CLDMASK = glob.glob(d1 + os.sep + "*.Aerosol_Cldmask_Land_Ocean-Aerosol_Cldmask_Land_Ocean.tif")
CLDMASK.sort()
if len(CLDMASK) == 0:
    print 'Could not open the CLDMASK raster files'
    sys.exit(1)
else:
    print 'The CLDMASK raster files was opened successfully'
#Call AOD images from directory
d2 = r"F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip"
AOD = glob.glob(d2 + os.sep + "*Corrected_Optical_Depth_Land_2-Corrected_Optical_Depth_Land.tif")
AOD.sort()
if len(AOD) == 0:
    print 'Could not open the AOD raster files'
    sys.exit(1)
else:
    print 'The AOD raster files was opened successfully'

#Call MOD02HKM_TOA-B1_TOA-B2 images from directory
d3="F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip"
TOA_B1 = glob.glob(d3 + os.sep + "*EV_500_RefSB_1-EV_500_RefSB.tif")
TOA_B1.sort()
if len(TOA_B1) == 0:
    print 'Could not open the TOA_B1 raster files'
    sys.exit(1)
else:
    print 'The TOA_B1 raster files was opened successfully'

TOA_B2 = glob.glob(d3 + os.sep + "*EV_500_RefSB_2-EV_500_RefSB.tif")
TOA_B2.sort()
if len(TOA_B2) == 0:
    print 'Could not open the TOA_B2 raster files'
    sys.exit(1)
else:
    print 'The TOA_B2 raster files was opened successfully'

#Call MOD03  (Height,SenZen,SenAzm,SolZen,SolAzm) images from directory
d4="F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip"
Height = glob.glob(d4 + os.sep + "*.Height-Height.tif")
Height.sort()
if len(Height) == 0:
    print 'Could not open the  Height raster files'
    sys.exit(1)
else:
    print 'The Height raster files was opened successfully'

SenZen = glob.glob(d4 + os.sep + "*.SensorZenith-SensorZenith.tif")
SenZen.sort()
if len(SenZen) == 0:
    print 'Could not open the SenZen raster files'
    sys.exit(1)
else:
    print 'The SenZen raster files was opened successfully'

SenAzm = glob.glob(d4 + os.sep + "*.SensorAzimuth-SensorAzimuth.tif")
SenAzm.sort()
if len(SenAzm) == 0:
    print 'Could not open the  SenAzm raster files'
    sys.exit(1)
else:
    print 'The SenAzm raster files was opened successfully'
SolZen = glob.glob(d4 + os.sep + "*.SolarZenith-SolarZenith.tif")
SolZen.sort()
if len(SolZen) == 0:
    print 'Could not open the SolZen raster files'
    sys.exit(1)
else:
    print 'The SolZen raster files was opened successfully'
SolAzm = glob.glob(d4 + os.sep + "*.SolarAzimuth-SolarAzimuth.tif")
SolAzm.sort()
if len(SolAzm) == 0:
    print 'Could not open the SolAzm raster files'
    sys.exit(1)
else:
    print 'The SolAzm raster files was opened successfully'
#Call MOD09 images from directory
d5="F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip"
Sur_B1 = glob.glob(d5 + os.sep + "*.500m_Surface_Reflectance_Band_1-500m_Surface_Reflectance_Band_1.tif")
Sur_B1.sort()
if len(Sur_B1) == 0:
    print 'Could not open the Sur_B1  raster files'
    sys.exit(1)
else:
    print 'The Sur_B1 raster files was opened successfully'
Sur_B2 = glob.glob(d5 + os.sep + "*.500m_Surface_Reflectance_Band_2-500m_Surface_Reflectance_Band_2.tif")
Sur_B2.sort()
if len(Sur_B2) == 0:
    print 'Could not open the Sur_B2  raster files'
    sys.exit(1)
else:
    print 'The Sur_B2 raster files was opened successfully'
Sur_B3 = glob.glob(d5 + os.sep + "*.500m_Surface_Reflectance_Band_3-500m_Surface_Reflectance_Band_3.tif")
Sur_B3.sort()
if len(Sur_B3) == 0:
    print 'Could not open the Sur_B3  raster files'
    sys.exit(1)
else:
    print 'The Sur_B3 raster files was opened successfully'
Land_cover="F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip\\LAND_COVER_TYPE_1_Grid_2D.img"
if len(Land_cover) == 0:
    print 'Could not open the Land_cover raster files'
    sys.exit(1)
else:
    print 'The Land_cover raster files was opened successfully'

outdir="F:\\DB_test_data\\TEST_RAY\\TEST1\\c\\d\\"
cellsize = "F:\\DB_test_data\\VAR2\\TEST_DATA\\Clip\\MOD02HKM_A2017001_0530_NDVI_AA.img"  

for i in range(len(CLDMASK)):	
	
    AA=CLDMASK[i].split("\\")[5][0:114]
    print ("processing_a:"+ AA)
    BB=AOD[i].split("\\")[9][0:120]
    print ("processing_b:"+ BB)
    CC=TOA_B1[i].split("\\")[5][0:88]
    print ("processing_c:"+ CC)
    DD=TOA_B2[i].split("\\")[5][0:88]
    print ("processing_d:"+ DD)
    EE=Height[i].split("\\")[5][0:71]
    print ("processing_e:"+ EE)
    FF=SenZen[i].split("\\")[5][0:83]
    print ("processing_f:"+ FF)
    GG=SenAzm[i].split("\\")[5][0:85]
    print ("processing_g:"+ GG)
    HH=SolZen[i].split("\\")[5][0:81]
    print ("processing_h:"+ HH)
    II=SolAzm[i].split("\\")[5][0:83]
    print ("processing_i:"+ II)
    JJ=Sur_B1[i].split("\\")[5][0:121]
    print ("processing_j:"+ JJ)
    KK=Sur_B2[i].split("\\")[5][0:121]
    print ("processing_k:"+ KK)
    LL=Sur_B3[i].split("\\")[5][0:121]
    print ("processing_l:"+ LL)
    #######################################################################
    #Cloud Mask scalling
    Scale_factor1 = float(1.0)
    add_offset1 = float(0.0)
    whereClause = "VALUE <= 0"
    # Execute SetNull
    outSetNull = SetNull(CLDMASK[i], CLDMASK[i], whereClause)
    cldmask=(outSetNull-add_offset1)*Scale_factor1

    #AOD scalling
    Scale_factor2 = float(0.0010000000474974513)
    add_offset2 = float(0.0)
    whereClause= "VALUE = -9999"
    # Execute SetNull
    outSetNull2 = SetNull(AOD[i],AOD[i], whereClause)
    aod=(outSetNull2-add_offset2)*Scale_factor2
    aod_1 = Con((aod >= 0.0) & (aod <= 0.1),1)

    #TOA_B1 Scalling
    Scale_factor3 = float(0.000053811826)
    add_offset3 = float(-0.0)
    whereClause= "VALUE = 65535"
    # Execute SetNull
    outSetNull3 = SetNull(TOA_B1[i],TOA_B1[i], whereClause)
    toa_b1=(outSetNull3-add_offset3)*Scale_factor3

    #TOA_B2 Scalling
    Scale_factor4 = float(0.00003255546)
    add_offset4 = float(-0.0)
    whereClause= "VALUE = 65535"
    # Execute SetNull
    outSetNull4 = SetNull(TOA_B2[i],TOA_B2[i], whereClause)
    toa_b2=(outSetNull4-add_offset4)*Scale_factor4

    #Height
    Scale_factor5 = float(1.0)
    add_offset5 = float(-0.0)
    whereClause = "VALUE = -32767"
    # Execute SetNull
    outSetNull5 = SetNull(Height[i],Height[i], whereClause)
    height=(outSetNull5-add_offset5)*Scale_factor5

    #Sensor Zenith angle
    Scale_factor6 = float(0.01)
    add_offset6 = float(0.0)
    whereClause = "VALUE = -32767"
    # Execute SetNull
    outSetNull6 = SetNull(SenZen[i],SenZen[i], whereClause)
    senzen=(outSetNull6-add_offset6)*Scale_factor6


    #Sensor azimuth angle
    Scale_factor7 = float(0.01)
    add_offset7 = float(0.0)
    whereClause = "VALUE = -32767"
    # Execute SetNull
    outSetNull7 = SetNull(SenAzm[i],SenAzm[i], whereClause)
    senazm=(outSetNull7-add_offset7)*Scale_factor7

    #solar Zenith angle
    Scale_factor8 = float(0.01)
    add_offset8 = float(0.0)
    whereClause = "VALUE = -32767"
    # Execute SetNull
    outSetNull8 = SetNull(SolZen[i],SolZen[i], whereClause)
    solzen=(outSetNull8-add_offset8)*Scale_factor8

    #solar azimuth angle
    Scale_factor9 = float(0.01)
    add_offset9 = float(0.0)
    whereClause = "VALUE = -32767"
    # Execute SetNull
    outSetNull9 = SetNull(SolAzm[i],SolAzm[i], whereClause)
    solazm=(outSetNull9-add_offset9)*Scale_factor9
    # OutRaster = os.path.join(outdir,'MOD04_L22.{0}.tif'.format("solazm"))
    # solazm.save(OutRaster)

    #(MODO9)surface reflectance band 1
    Scale_factor_10 = float(0.0001)
    add_offset_10 = float(0.0)
    whereClause = "VALUE = -28672"
    # Execute SetNull
    outSetNull10 = SetNull(Sur_B1[i],Sur_B1[i], whereClause)
    sur_b1=(outSetNull10-add_offset_10)*Scale_factor_10

    #(MODO9)surface reflectance band 2
    Scale_factor_11 =  float(0.0001)
    add_offset_11 = float(0.0)
    whereClause = "VALUE = -28672"
    # Execute SetNull
    outSetNull11 = SetNull(Sur_B2[i],Sur_B2[i], whereClause)
    sur_b2=(outSetNull11-add_offset_11)*Scale_factor_11

    #(MODO9)surface reflectance band 3
    Scale_factor_12 =  float(0.0001)
    add_offset_12 = float(0.0)
    whereClause = "VALUE = -28672"
    # Execute SetNull
    outSetNull12 = SetNull(Sur_B3[i],Sur_B3[i], whereClause)
    sur_b3=(outSetNull12-add_offset_12)*Scale_factor_12

    # Process: Extract by Cloud_Mask
    tempEnvironment0 = arcpy.env.cellSize
    arcpy.env.cellSize = "MAXOF"
    toa_bb1=arcpy.sa.ExtractByMask(toa_b1, cldmask)
    toa_bb2=arcpy.sa.ExtractByMask(toa_b2, cldmask)
    heightt=arcpy.sa.ExtractByMask(height, cldmask)
    senzenn=arcpy.sa.ExtractByMask(senzen, cldmask)
    senazmm=arcpy.sa.ExtractByMask(senazm, cldmask)
    solzenn=arcpy.sa.ExtractByMask(solzen, cldmask) 
    solazmm=arcpy.sa.ExtractByMask(solazm, cldmask)
    sur_b11=arcpy.sa.ExtractByMask(sur_b1, cldmask)
    sur_b22=arcpy.sa.ExtractByMask(sur_b2, cldmask)
    sur_b33=arcpy.sa.ExtractByMask(sur_b3, cldmask)
    arcpy.env.cellSize = tempEnvironment0
    # # Process: Extract by Mask using AOD less than 0.1 value
    tempEnvironment0 = arcpy.env.cellSize
    arcpy.env.cellSize = cellsize
    toa_b1=arcpy.sa.ExtractByMask(toa_bb1, aod_1)
    toa_b2=arcpy.sa.ExtractByMask(toa_bb2, aod_1)
    height=arcpy.sa.ExtractByMask(heightt, aod_1)
    senzen=arcpy.sa.ExtractByMask(senzenn, aod_1)
    senazm=arcpy.sa.ExtractByMask(senazmm, aod_1)
    solzen=arcpy.sa.ExtractByMask(solzenn, aod_1)
    solazm=arcpy.sa.ExtractByMask(solazmm, aod_1)
    sur_b1=arcpy.sa.ExtractByMask(sur_b11, aod_1)  
    sur_b2=arcpy.sa.ExtractByMask(sur_b22, aod_1)
    sur_b3=arcpy.sa.ExtractByMask(sur_b33, aod_1)   
    arcpy.env.cellSize = tempEnvironment0
    #############################################################################
    #Calculate the scattering angle from Resample MOD03 products
    senzen_na = arcpy.RasterToNumPyArray(senzen)
    cosSenZ = np.cos(senzen_na * np.pi / 180)
    cosSolZ_na = arcpy.RasterToNumPyArray(solzen)
    cosSolZ = np.cos(cosSolZ_na * np.pi / 180)
    sinSenZ_na = arcpy.RasterToNumPyArray(senzen)
    sinSenZ = np.sin(sinSenZ_na * np.pi / 180)
    sinSolZ_na = arcpy.RasterToNumPyArray(solzen)
    sinSolZ = np.sin(sinSolZ_na * np.pi / 180)


    senazm_na = arcpy.RasterToNumPyArray(senazm)
    solazm_na = arcpy.RasterToNumPyArray(solazm)
    RelAzm = np.abs((senazm_na ) - (solazm_na))
    index = np.where(RelAzm > 180.0)
    RelAzm[index] = 360.0- RelAzm[index]
    index = np.where(RelAzm <= 180.0)
    RelAzm[index] = 180.0- RelAzm[index]
    cosRelA = np.cos(np.radians(RelAzm))

    SctAgl =  np.arccos((-cosSolZ * cosSenZ) + ((sinSolZ * sinSenZ) * cosRelA))

    dscc=arcpy.Describe(senazm)
    srr=dscc.SpatialReference
    extt=dscc.Extent
    lll=arcpy.Point(extt.XMin,extt.YMin)
    noDataValuee=dscc.noDataValue
    myArraySumm = SctAgl.sum(1)
    myArraySumm.shape = (SctAgl.shape[0],1)
    myArrayPercc = (SctAgl * 1.0)/ myArraySumm
    newRasterr = arcpy.NumPyArrayToRaster(myArrayPercc,lll,dscc.meanCellWidth,dscc.meanCellHeight,noDataValuee)
    arcpy.DefineProjection_management(newRasterr, srr)
    OutRaster = os.path.join(outdir,'MOD022222.{0}.tif'.format("SctAgl"))
    newRasterr.save(OutRaster)

    # # RCR for TOA_BAND_1 and TOA_BAND_2
    # TOA_BAND_1
    dsc=arcpy.Describe(toa_b1)
    sr=dsc.SpatialReference
    ext=dsc.Extent
    ll=arcpy.Point(ext.XMin,ext.YMin)
    noDataValue=dsc.noDataValue
    toa_b1_na = arcpy.RasterToNumPyArray(toa_b1)

    B1_ROD = (0.00864 + (0.0000065)) * (0.67)**(-(3.916 + (0.074 * 0.67)+ (0.05/0.67)))
    Pr1 =  (3.0/16.0*np.pi) * (1 + (np.cos(SctAgl) * np.cos(SctAgl)))
    wr1 = 1.0
    RayRef_B1 = (wr1 * B1_ROD * Pr1 ) / (4.0 * (cosSolZ * cosSenZ))

    myArray = toa_b1_na - RayRef_B1
    myArraySum = myArray.sum(1)
    myArraySum.shape = (myArray.shape[0],1)
    myArrayPerc = (myArray * 1.0)/ myArraySum

    newRaster = arcpy.NumPyArrayToRaster(myArrayPerc,ll,dsc.meanCellWidth,dsc.meanCellHeight,noDataValue)
    arcpy.DefineProjection_management(newRaster, sr)
    OutRaster = os.path.join(outdir,'MOD022222.{0}.tif'.format("TOA_B1"))
    # toa_b2.save(OutRaster)
    newRaster.save(OutRaster)




print arcpy.GetMessages()
print 'finished run: %s\n\n' % (datetime.datetime.now() - start)
0 Kudos
XanderBakker
Esri Esteemed Contributor

Hi BIJOY GAYEN ,

There is no option, without conversion (Raster To Numpy and then Numpy To Raster) to write the code for raster data analysis directly use cos, sin, subtract, plus, minus, division function, etc. I am totally confused to write this code. Give any solution regarding this issue

Have a look at these functions that are available in Spatial Analyst:

0 Kudos
BIJOYGAYEN
Emerging Contributor

Hello Xander Bakker‌ sir, sorry for the late reply. I am confused to write the code using your mentioned function. Can you write one example code with my code?

0 Kudos
JoeBorgione
MVP Emeritus

My example uses the in_memory workspace only because I'm writing summary tables there and they are relatively small.  My initial approach was to write everything to disc in a file geodatabse; for me that was more overhead than I needed.  Processing rasters data is a different animal altogether. Using in_memory is great for speed, but if it gets consumed, things have a tendency to go south....

That should just about do it....