import merlin
queries = {
'red' : 'http://host/v1/landsat/chip-specs?q=tags:red AND sr' ,
'green' : 'http://host/v1/landsat/chip-specs?q=tags:green AND sr' ,
'blue' : 'http://host/v1/landsat/chip-specs?q=tags:blue AND sr' }
timeseries = merlin .create (point = (123 , 456 ),
acquired = '1980-01-01/2017-01-01' ,
queries = queries ,
chips_url = 'http://host/v1/landsat/chips' )
print (timeseries )
(((123 , 456 , 123 , 456 ), {'red' : [9 , 8 , ...],
'green' : [99 , 88 , ...]},
'blue' : [12 , 22 , ...],
'dates' : ['2017-01-01' , '2016-12-31' , ...]}),
((123 , 456 , 124 , 456 ), {'red' : [4 , 3 , ...],
'green' : [19 , 8 , ...]},
'blue' : [1 , 11 , ...],
'dates' : ['2017-01-01' , '2016-12-31' , ...]}),)
Create Timeseries From Assymetric Data
from functools import partial
from merlin import chips
from merlin import functions
from merlin import timeseries
import merlin
queries = {
'red' : 'http://host/v1/landsat/chip-specs?q=tags:red AND sr' ,
'green' : 'http://host/v1/landsat/chip-specs?q=tags:green AND sr' ,
'blue' : 'http://host/v1/landsat/chip-specs?q=tags:blue AND sr' ,
'quality' : 'http://host/v1/landsat/chip-specs?q=tags:pixelqa' }
data = timeseries .create (
point = (123 , 456 ),
dates_fn = partial (functions .chexists ,
check_fn = timeseries .symmetric_dates ,
keys = ['quality' ,]),
chips_url = 'http://localhost' ,
acquired = '1980-01-01/2015-12-31' ,
queries = queries )
from merlin .chips import get as chips_fn
from merlin .chip_specs import get as specs_fn
from merlin .composite import chips_and_specs
queries = {
'red' : 'http://host/v1/landsat/chip-specs?q=tags:red AND sr' ,
'green' : 'http://host/v1/landsat/chip-specs?q=tags:green AND sr' ,
'blue' : 'http://host/v1/landsat/chip-specs?q=tags:blue AND sr' }
chips , specs = chips_and_specs (point = (123 , 456 ),
acquired = '1980-01-01/2017-08-22' ,
queries = queries ,
chips_fn = chips_fn ,
specs_fn = specs_fn ,
chips_url = 'http://host/v1/landsat/chips' )