diff --git a/planetscope_batch_NDVI_of_digital_number.py b/planetscope_batch_NDVI_of_digital_number.py
new file mode 100644
index 0000000..2f51b8b
--- /dev/null
+++ b/planetscope_batch_NDVI_of_digital_number.py
@@ -0,0 +1,81 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Wed May 31 18:14:00 2017
+https://developers.planet.com/tutorials/calculate-ndvi/
+@author: YARON
+"""
+#del all DN_udm by hand do seacrh insde the dir and del
+import rasterio
+import numpy
+from xml.dom import minidom
+
+"D:\\TESTPATCH\NDVI\\"
+import os
+rootdir = "D:\\TESTPATCH\\"
+#rootdir = r'D:\TESTPATCH'
+d=rootdir
+dir_list =filter(lambda x: os.path.isdir(os.path.join(d, x)), os.listdir(d))
+
+coeffs = {} 
+#files = os.listdir(os.curdir)
+
+
+for dir0 in dir_list:
+    s = os.chdir(rootdir+dir0)  
+   
+    #get file in working dir
+    files = [f for f in os.listdir('.') if os.path.isfile(f)]
+    for name_file in files:
+     if name_file[-3:] == "tif":  
+         
+      print name_file   
+      A = name_file[:-3] 
+      xml_file_name =  name_file[:-4] + "_metadata.xml"
+      with rasterio.open(name_file) as src:
+             band_red = src.read(2)
+      with rasterio.open(name_file) as src:
+             band_nir = src.read(3)
+    xmldoc = minidom.parse(xml_file_name)
+    nodes = xmldoc.getElementsByTagName("ps:bandSpecificMetadata")  
+    # XML parser refers to bands by numbers 1-4
+    coeffs = {}
+    for node in nodes:
+      bn = node.getElementsByTagName("ps:bandNumber")[0].firstChild.data
+      #if bn in ['1', '2', '3', '4']:#
+      if bn in ['1', '2', '3', '4']:#
+          print bn
+          i = int(bn)
+          value = node.getElementsByTagName("ps:reflectanceCoefficient")[0].firstChild.data
+          coeffs[i] = float(value)
+    # Multiply by corresponding coefficients
+    band_red = band_red * coeffs[3]
+    band_nir = band_nir * coeffs[4]
+    
+     # Allow division by zero
+    numpy.seterr(divide='ignore', invalid='ignore')
+    # Calculate NDVI
+    ndvi = (band_nir.astype(float) - band_red.astype(float)) / (band_nir + band_red)
+    # Set spatial characteristics of the output object to mirror the input
+    kwargs = src.meta
+    kwargs.update(dtype=rasterio.float32,count = 1)
+     
+     
+    # Create the file
+    with rasterio.open("D:\\TESTPATCH\\"+"NDVI"+A+"tif", 'w', **kwargs) as dst:
+        dst.write_band(1, ndvi.astype(rasterio.float32))
+    
+
+
+
+
+       
+    
+
+  
+
+
+        
+ 
+
+
+