 # NDVI Calaculation Using PiNoir camera

Hello…
I am an engineering student working on a project based on NDVI calculation to monitor the crop health. I used the PiNoIR camera with blue filter for my experiment in order to obtain the values of NIR and Red region. I used the following code to extract the required values and to calculate the NDVI. But in the output image, the empty regions (area where no leaves are present as shown in the below figure) and ground have higher NDVI values. The shadowed regions are shown in the range 0.5 to 0.6. I wanted to know whether the output is correct and what corrections can be done in the -code in order to correct the error. The code is given below.
from PIL import Image
import numpy as np
import cv2
from matplotlib import cm
w=rgb_matrix.shape #columns
h=rgb_matrix.shape #rows
print(w)
print(h)
#Compute ndvi values for each pixel
#NDVI=(NIR-R)/(NIR+R)
res=[]
for i in range(h):
row=[]
for j in range(w):
val=rgb_matrix[i][j]
n=val
r=val
num=((int(n)-int®))
den=((int(n)+int®))
if(den == 0):
r=0.0
else:
r=np.divide(num,den)
row.append®
res.append(row)
print(‘Done’)
#based on NDVI values, give different colors for easier identification
for i in range(h):
for j in range(w):
if(res[i][j] >=-1 and res[i][j] <0):
rgb_matrix[i][j]=[128,128,128] #grey
elif(res[i][j]>=0 and res[i][j]<0.2):
rgb_matrix[i][j]=[64,255,0] #parrot green
elif(res[i][j]>=0.2 and res[i][j]<0.3):
rgb_matrix[i][j]=[125,255,255] #yellow
elif(res[i][j]>=0.3 and res[i][j]<0.4):
rgb_matrix[i][j]=[0,128,128] #dark green
elif(res[i][j]>=0.4 and res[i][j]<0.5):
rgb_matrix[i][j]=[255,255,0] #sky blue
elif(res[i][j]>=0.5 and res[i][j]<0.6):
rgb_matrix[i][j]=[255,51,153] #purple
elif(res[i][j]>=0.6 and res[i][j]<0.7):
rgb_matrix[i][j]=[0,128,255] #orange
elif(res[i][j]>=0.7 and res[i][j]<0.8):
rgb_matrix[i][j]=[255,43,255] #pink
elif(res[i][j]>=0.8 and res[i][j]<0.9):
rgb_matrix[i][j]=[40,40,255] #red
else:
rgb_matrix[i][j]=[255,0,0] #dark blue
cv2.imwrite(‘outputimg.jpg’,rgb_matrix)
print(“Completed!!”)
(Ignore the indentation errors) the code you put in does not seem to be the Custom Script supported by Sentinel Hub so I assume you were executing this in some other environment?

It’s difficult to assess, whether the output is correct or not as there are no input data provided.

As a side note, are you aware about the Sentinel Hub Custom Scripts contest? You have time until end of January to submit the script and win the prize. There is even a special one for student groups.
https://www.sentinel-hub.com/contest