Python
Romania's cities - an overiew of vegetation using NDVI
· β˜• 2 min read · ✍️ Alexandru Munteanu

Since the recent post, where I only included True Color Imagery using Sentinel-2 data, providing an overview of some major cities, I thought it might also be interesting to extend those examples so we can have a look at the vegetation around (and also inside) of the cities.

We can use a simple Normalized Difference Vegetation Index (NDVI) that is computed like so:

$$ NDVI = \frac{NIR - RED}{NIR + RED} $$


Romania's Cities - 2017 to present
· β˜• 3 min read · ✍️ Alexandru Munteanu

We propose to showcase the capabilities of the recently created data catalog at the Computer Science department, West University of TimiΘ™oara. The catalog exposes Sentinel-2 imagery (currently) using STAC Catalogs.

We store Sentinel-2 L1C products from 2017-01-01 till present, covering the whole territory of Romania. This post will illustrate the usage of stackstac in order to turn a STAC Collection into an xarray dataframe that is later processed using dask showing a timelapse of some big cities in Romania throughout the years. The work presented is based on the stackstac example.