Mosaic Same Day

Images inside an ImageCollection that where taken in the same day are fusioned into one image using a reducer (default: mean). The resulting images will have 2 properties only:

system:time_start
system:footprint (this will contain the fusioned geometries)



In [11]:

    
import ee
ee.Initialize()



In [12]:

    
from geetools import tools



In [13]:

    
import geedatasets



In [14]:

    
import ipygee as ui



In [15]:

    
Map = ui.Map()
Map.show()



In [16]:

    
sat = geedatasets.sentinel.Sentinel2SR()



In [17]:

    
vis = sat.visualization('NSR')



In [18]:

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



In [19]:

    
col = sat.collection().filterBounds(p).filterDate('2019-01-01', '2019-05-01')



In [20]:

    
ui.eprint(col.size())



In [21]:

    
# Get dates
def get_dates(col):
    dates = ee.List(col.toList(col.size()).map(lambda img: ee.Image(img).date().format()))
    return dates

ui.eprint(get_dates(col))



In [22]:

    
mosaics = tools.imagecollection.mosaicSameDay(col)



In [23]:

    
ui.eprint(mosaics.size())



In [24]:

    
ui.eprint(get_dates(mosaics))



In [25]:

    
Map.addImageCollection(col.limit(2), vis)



In [26]:

    
Map.addLayer(mosaics.first(), sat.visualization('NSR'), 'Day 1 mosaicked')



In [27]:

    
Map.addLayer(mosaics.first().geometry(), name='Footprint day 1 mosaicked')