Actually I want to open the sentinel-2A product, extract and read the bands for the further analysis...That means how will I import the bands ? need help.
Well, You can use loop through all the bands in a dataset as a numpy array. like following in code:
ds = gdal.Open("path to some file")
for band in range( ds.Count ):
band += 1
nparray = ds.GetBand(band).ReadAsArray()
Hi Somnath, I've been using Google Earth Engine API in Jupyter notebook and saving band values in Pandas Data Frame - maybe try this? Saves you from downloading images- you just download values in a csv file. However, if it's not a huge number of images, Rahul's solution above looks great, you can also see: https://stackoverflow.com/questions/7569553/working-with-tiffs-import-export-in-python-using-numpy
you can work with raster package in R software if you like.
install.packages("raster")
Library(raster)
b=raster("working directory/band_name.jp2")
plot(b)
I haven't worked with XML file in R. The attached link might be helpful.
http://www.informit.com/articles/article.aspx?p=2215520
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