New answers tagged ndvi
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Looking at the image collection it appears that you the polygons that you are interested in are on the edge of two overlapping landsat scenes WRS_ROW 83 and 84 respectively hence why you are getting two values for each date.
To stop this from happening you can filter the image collection by a metadata property by adding in the following line on line 51 of ...
3
If you want to get the matching rasters you can zip both lists so you iterate over a list of tuples containing two rasters (one red, one nir) at a time.
for rotesband, nirband in zip(liste_rotesband,liste_nirband):
print 'red band: {}'.format(rotesband)
print 'nir band: {}'.format(nirband)
Regarding your edit, you are attempting to use the Float() ...
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One way to accomplish this would be to use the Raster to Polygon tool. I would first use a tool like Con which will allow you to save the lakes to a separate raster. That way, when you convert to Polygon, you're only converting the lakes.
Finally, when you have your polygons, if your output file format supports it, the area will be calculated automatically ...
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