I know that but my question is lets just say there is a img_sentinel[:,:,56] for a field ID then how can i know which band for which month does the above imge is representing?
Information on the months for which the sentinel images were taken wasn't given .. only for the years they were taken. As shown in the year column
Also for the bands, there are 192 bands representating multispectural features(think of them as features/columns in df) and each has its own usefulness for the precise problem you wish to solve.
PS: my thinking on this may be flawed since I only started reading on this about 18 days ago😌
There are only 16 different bands for each 12 months as you can see above. So now i hope you understand why i am asking like for examle what is the index for B4(red) for the month June.
hi @aronstone , the imageband docs attached to the data, gives the list of arrangements of the all 16 bands. so inversely it also gives the index as well. i guess this answer's your question.
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hi @aronstone..
refer to the starter notebook.. using the skimage.io class ..
Thanks for answering
I know that but my question is lets just say there is a img_sentinel[:,:,56] for a field ID then how can i know which band for which month does the above imge is representing?
Hi @aronstone
Information on the months for which the sentinel images were taken wasn't given .. only for the years they were taken. As shown in the year column
Also for the bands, there are 192 bands representating multispectural features(think of them as features/columns in df) and each has its own usefulness for the precise problem you wish to solve.
PS: my thinking on this may be flawed since I only started reading on this about 18 days ago😌
There are only 16 different bands for each 12 months as you can see above. So now i hope you understand why i am asking like for examle what is the index for B4(red) for the month June.
.
hi @aronstone , the imageband docs attached to the data, gives the list of arrangements of the all 16 bands. so inversely it also gives the index as well. i guess this answer's your question.