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import datacube as dc | |
class BurnCube(dc.Datacube): | |
def __init__(self): | |
super(BurnCube, self).__init__(app='TreeMapping.getLandsatStack') | |
self.measurements = ['red','green','blue','nir','swir1','swir2'] | |
self.res = (-100,100) | |
def load_cube(self, lon, lat, period): | |
query = { | |
'time': period, | |
'lat': lat, | |
'lon': lon, | |
'measurements' : self.measurements, | |
'resolution': self.res, | |
} | |
dss = self.find_datasets(product='ls8_nbart_albers', **query) | |
return self.load('ls8_nbart_albers', group_by='solar_day', datasets=dss, resampling='bilinear', **query) | |
lon = (146.0852,146.3702) # min to max | |
lat = (-41.5985,-41.7314) | |
reftime = ('2013-01-01','2017-12-31') # period used for the calculation of geometric median | |
bc = BurnCube() | |
data = bc.load_cube(lon, lat, reftime) | |
print(data) |
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