Mask Cover

Percentage of masked pixels



In [1]:

    
import ee
ee.Initialize()



In [2]:

    
from geetools import algorithms, ui, cloud_mask, tools



In [3]:

    
from ipygee import *

Area of Interest



In [4]:

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

Masked image



In [5]:

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

Compute Mask Cover



In [6]:

    
cover = algorithms.maskCover(masked, aoi, 10)



In [7]:

    
eprint(cover.get('MASK_COVER'))

Show Image on Map



In [8]:

    
Map = Map()
Map.show()



In [9]:

    
vis = {'bands': ['B8', 'B11','B4'], 'min':0, 'max':5000}



In [10]:

    
Map.addLayer(masked, vis, 'Masked image')



In [11]:

    
Map.centerObject(aoi)

Make it an image band



In [12]:

    
metadata = cover.metadata('MASK_COVER')



In [13]:

    
tools.image.getValue(metadata, aoi.centroid(1), 10, side='client')









    Out[13]:





{'MASK_COVER': 14.97}



In [ ]: