Access to Awesome Spectral Indices v0.0.3
Tutorial created by **David Montero Loaiza**: GitHub | Twitter
GitHub Repo: https://github.com/davemlz/eemont
PyPI link: https://pypi.org/project/eemont/
Conda-forge: https://anaconda.org/conda-forge/eemont
Documentation: https://eemont.readthedocs.io/
More tutorials: https://github.com/davemlz/eemont/tree/master/docs/tutorials
Let’s start!
If required, please uncomment:
[1]:
#!pip install eemont
#!pip install geemap
Import the required packages.
[2]:
import ee, eemont, geemap
import geemap.colormaps as cm
Authenticate and Initialize Earth Engine and geemap.
[3]:
Map = geemap.Map()
Let’s define a point of interest:
[8]:
poi = ee.Geometry.BBoxFromQuery("Buenos Aires, Argentina",user_agent = "eemont-tutorial-030")
Spectral Indices from Awesome Spectral Indices v0.0.3 are now locally available!
Let’s compute one of the mew Spectral Indices!
[15]:
S2 = (ee.ImageCollection("COPERNICUS/S2_SR")
.filterBounds(poi)
.filterDate("2020-01-01","2021-01-01")
.preprocess()
.spectralIndices(["NDVI705"])
.median())
Let’s visualize everything using geemap (and also container emulation methods!):
[16]:
Map = geemap.Map()
Map.addLayer(S2['NDVI705'],{"min":0,"max":1,"palette":cm.palettes.ndvi},"NDVI705")
Map.centerObject(poi.centroid(1),10)
Map