Created
December 8, 2013 23:00
-
-
Save hallahan/7864919 to your computer and use it in GitHub Desktop.
This script averages together all of the RGB values from each image. Because the clouded pixels are set to 0, Those values are ignored in the average. We divide the sum of values by another raster that is the sum of valid pixels based on BQA classification.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# average-rgb2.py | |
# Nicholas Hallahan nick@theoutpost.io | |
# Sat Nov 30 2013 | |
import os | |
import arcpy | |
from arcpy.sa import * | |
arcpy.CheckOutExtension('Spatial') | |
arcpy.env.overwriteOutput = True | |
cwd = os.getcwd() | |
inputPath = r"C:\vbox-shared\remote-sensing\code\cloud-hole-all\output\nyiragongo" | |
validPixelSum = r"C:\vbox-shared\remote-sensing\code\bqa\output-sum-not-cloud\LC81730612013322LGN00_BINSUM.TIF" | |
outputPath = r"C:\vbox-shared\remote-sensing\code\average-rgb\output\RGB_NYIRA_MEAN.TIF" | |
rOutputPath = r"C:\vbox-shared\remote-sensing\code\average-rgb\output\R_NYIRA_MEAN.TIF" | |
gOutputPath = r"C:\vbox-shared\remote-sensing\code\average-rgb\output\G_NYIRA_MEAN.TIF" | |
bOutputPath = r"C:\vbox-shared\remote-sensing\code\average-rgb\output\B_NYIRA_MEAN.TIF" | |
######################## list of input reds, greens, blues ################## | |
ls = os.listdir(inputPath) | |
reds = [] | |
greens = [] | |
blues = [] | |
for lcDir in ls: | |
lcDir = inputPath + '\\' + lcDir | |
bands = os.listdir(lcDir) | |
for band in bands: | |
band = lcDir + '\\' + band | |
if band[-6:] == 'B4.TIF': | |
reds.append(band) | |
elif band[-6:] == 'B3.TIF': | |
greens.append(band) | |
elif band[-6:] == 'B2.TIF': | |
blues.append(band) | |
############################################################################## | |
print("Mean Averaging Nyiragongo RGBs") | |
rSum = Raster( reds.pop(0) ) / 65000.0 | |
gSum = Raster( greens.pop(0) ) / 65000.0 | |
bSum = Raster( blues.pop(0) ) / 65000.0 | |
for r in reds: | |
rSum += Raster(r) / 65000.0 # normalizing signed 32 bit int into float | |
for g in greens: | |
gSum += Raster(g) / 65000.0 | |
for b in blues: | |
bSum += Raster(b) / 65000.0 | |
# mean is based on the number of valid pixels for a given pixel | |
rMean = rSum / Raster(validPixelSum) | |
gMean = gSum / Raster(validPixelSum) | |
bMean = bSum / Raster(validPixelSum) | |
rMean.save(rOutputPath) | |
print("Red mean composite saved to " + rOutputPath) | |
gMean.save(gOutputPath) | |
print("Green mean composite saved to " + gOutputPath) | |
bMean.save(bOutputPath) | |
print("Blue mean composite saved to " + bOutputPath) | |
print("Compositing RGB bands into single RGB TIF") | |
arcpy.CompositeBands_management(rOutputPath+';'+gOutputPath+';'+bOutputPath, outputPath) | |
print("Composite RGB saved to " + outputPath) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment