Create a fresh conda env to run this example if needed.
conda create -n cog python=3.9
conda install mamba -c conda-forge
mamba install leafmap rio-cogeo -c conda-forge
In [ ]:
# !pip install leafmap
In [ ]:
# !pip install rio-cogeo
In [ ]:
import leafmap
In [ ]:
url = "https://github.com/opengeos/leafmap/raw/master/examples/data/cog.tif"
in_cog = "cog.tif"
out_cog = "ndvi.tif"
Download a sample dataset.
In [ ]:
leafmap.download_from_url(url, in_cog)
Convert image to numpy array.
In [ ]:
arr = leafmap.image_to_numpy(in_cog)
In [ ]:
arr.shape
Computer NDVI.
In [ ]:
ndvi = (arr[3] - arr[0]) / (arr[3] + arr[0])
In [ ]:
ndvi.shape
Convert numpy array to COG.
In [ ]:
leafmap.numpy_to_cog(ndvi, out_cog, profile=in_cog)
In [ ]:
m = leafmap.Map()
m.add_raster(in_cog, band=[4, 1, 2], layer_name="Color infrared")
m.add_raster(out_cog, palette="Greens", layer_name="NDVI")
m
