Hello everyone,
I'm using Terrascope's jupyterlab in order to analyze the NDVI, NDBI and NDWI of a certain area over a time range. While analyzing the selected files, I noticed that while I selected the same AOI everywhere, I don't get the same image shape every time and the area observed in my image is not the same. To make my problem clearer, I have attached my code here: https://we.tl/t-jtpM5Is9W8
In the last cell, the different shapes of the considered files are printed. Do I have to isolate my AOI in another way, because I thought that using mask.msk only the aoi is considered?
Comments
Hi, this is expected…
Hi,
this is expected because not all files have the same intersection with your AOI. When looking at the Sentinel-2 tiling grid, you will notice that several tile IDs (e.g. 31UES, 31UER, ...) intersect with your AOI; data from these tile IDs have a different intersection with your AOI, which results in different shapes.
Regards, Dirk
Solved
Hello Dirk, thank you for the reply! I assume this is because the AOI is chosen so big? I found that I have to fiddle around a bit with the AOI in order to make all tile IDs intersect similarly
Consider using openEO for this
Hi,
just a note: for this kind of problem, Terrascope offers the openEO API via openEO platform: https://openeo.cloud/
This generally solves all difficulties from trying to work directly with the complex file based products. Computing a timeseries for such indices is for instance a common use case.