Distance to Mask

In [1]:

    

import ee
ee.Initialize()


    

In [2]:

    

from geetools import algorithms, ui, cloud_mask, tools


    

In [3]:

    

from ipygee import *


    

In [4]:

    

p = ee.Geometry.Point([-71.33972167968751, -42.737619925503054])
aoi = p.buffer(8000).bounds()


    

In [5]:

    

i = ee.Image('COPERNICUS/S2/20181122T142749_20181122T143353_T18GYT')
masked = cloud_mask.sentinel2()(i)
masked = masked.clip(aoi)


    

In [6]:

    

max_distance = 2000


    

In [7]:

    

distance = algorithms.distanceToMask(masked, radius=max_distance, geometry=aoi)


    

In [8]:

    

Map = Map()
Map.show()


    

In [9]:

    

Map.addLayer(masked, {'bands':['B8', 'B11', 'B4'], 'min':0, 'max':5000}, 'Masked image')


    

In [10]:

    

Map.centerObject(aoi)


    

In [11]:

    

Map.addLayer(distance, {'min':0, 'max':max_distance}, 'distance')