Compute a medoid score of 'how far is from medoid'

This is the previous step to compute the medoid composite

When normalize parameter is True, pixels with value 1 are the actual medoid, and 0 is the further



In [1]:

    
import ee
ee.Initialize()



In [2]:

    
from geetools import composite, tools, cloud_mask, indices



In [3]:

    
import ipygee as ui



In [4]:

    
p = ee.Geometry.Point(-72, -42)



In [5]:

    
col = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR')\
        .filterBounds(p).filterDate('2017-01-01', '2017-12-01')\
        .map(cloud_mask.landsat8SRPixelQA())\
        .map(lambda img: img.addBands(indices.ndvi(img, 'B5', 'B4')))\
        .limit(7)

Bands for medoid



In [6]:

    
bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7']

Medoid score including zero values



In [7]:

    
medscore = composite.medoidScore(col, bands, False)



In [8]:

    
values = tools.imagecollection.getValues(medscore, p, scale=30)



In [9]:

    
ui.eprint(values)



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