def build_img_coll(self,
year=None,
separate=False,
use_closest_image=False):
if year is not None:
if not isinstance(year, int):
raise ValueError(
'Expected year to be integral. Got: {}'.format(
type(year)))
self.start_date = str(year) + '-1-1'
self.end_date = str(year) + '-12-31'
self.urban = ee.ImageCollection('JRC/GHSL/P2016/SMOD_POP_GLOBE_V1')
if use_closest_image:
center_date = get_center_date(self.start_date, self.end_date)
self.urban = ee.ImageCollection(
get_closest_to_date(self.urban, center_date))
else:
self.urban = self.urban.filterDate(self.start_date, self.end_date)
if separate:
self.urban = self.urban.map(self.separate_urban_bands)
else:
self.urban = self.urban.map(self.rename_GHLS_Urban)
self.urban = self.urban.sort('system:time_start')
def build_img_coll(self):
dmsp_original = ee.FeatureCollection(
"NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4")
center_date = get_center_date(self.start_date, self.end_date)
dmsp_img = get_closest_to_date(dmsp_original, center_date)
dmsp_img = dmsp_img.select(['avg_vis'], ['DMSP'])
dmsp = ee.ImageCollection([dmsp_img])
zeros_image = ee.Image(0).reproject(
ee.Image(dmsp_original.first()).projection()).select([0], ['DMSP'])
zeros_image = zeros_image.set('system:time_start',
ee.Date('2014-01-01').millis())
zeros_image = zeros_image.set('system:time_end',
ee.Date('3000-01-01').millis())
zeros_image_coll = ee.ImageCollection([zeros_image])
requested_daterange = ee.DateRange(self.start_date, self.end_date)
viirs_start = ee.Date('2014-1-1')
use_zeros_image = requested_daterange.contains(viirs_start)
start_year = ee.Number(ee.Date(self.start_date).get('year'))
viirs_start_year = ee.Number(viirs_start.get('year'))
use_zeros_image2 = start_year.gte(viirs_start_year)
dmsp = ee.Algorithms.If(use_zeros_image, zeros_image_coll, dmsp)
dmsp = ee.Algorithms.If(use_zeros_image2, zeros_image_coll, dmsp)
self.dmsp = ee.ImageCollection(dmsp)