def modis_par_monavg(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', \
"options": "compress=lzw", "input_nodata": in_nodata}
raster_image_math.do_avg_image(**args)
def modis_chla_monclim(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', \
"options": "compress=lzw"}
raster_image_math.do_avg_image(**args)
def compute_monavg(input_file, output_file):
output_file = functions.list_to_element(output_file)
out_filename = os.path.basename(output_file)
functions.check_output_dir(os.path.dirname(output_file))
no_data = int(sds_meta.get_nodata_value(input_file[0]))
str_date = out_filename[0:6]
today = datetime.date.today()
today_yyyymm = today.strftime('%Y%m')
# expected_ndays=functions.get_number_days_month(str_date)
# current_ndays=len(input_file)
if str_date == today_yyyymm:
logger.info(
'Do not perform computation for current month {0}. Skip'.
format(str_date))
else:
args = {
"input_file": input_file,
"output_file": output_file,
"output_format": 'GTIFF',
"input_nodata": no_data,
"options": "compress=lzw"
}
raster_image_math.do_avg_image(**args)
def compute_3dayavg(input_file, output_file):
no_data = int(sds_meta.get_nodata_value(input_file[0]))
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', "options": "", "input_nodata":no_data, "output_nodata":no_data}
raster_image_math.do_avg_image(**args)
def std_yearly_clim(input_file, output_file):
output_file = functions.list_to_element(output_file)
reduced_list = exclude_current_year(input_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {"input_file": reduced_list, "output_file": output_file, "output_format": 'GTIFF',
"options": "compress=lzw"}
raster_image_math.do_avg_image(**args)
def compute_10d_from_1d(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {
"input_file": input_file,
"output_file": output_file,
"output_format": 'GTIFF',
"options": "compress = lzw"
}
raster_image_math.do_avg_image(**args)
def std_precip_10davg(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {
"input_file": input_file,
"output_file": output_file,
"output_format": 'GTIFF',
"options": "compress=lzw",
'output_type': 'Float32',
'input_nodata': -32767
}
raster_image_math.do_avg_image(**args)
def lsasaf_etp_10d30min(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', \
"options": "compress=lzw", "input_nodata":-32768}
raster_image_math.do_avg_image(**args)
# Do also the house-keeping, by deleting the files older than 6 months
number_months_keep = 6
remove_old_files(prod, "lsasaf-et", version, native_mapset, 'Ingest',
number_months_keep)
def olci_wrr_3dcum(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {
"input_file": input_file,
"output_file": output_file,
"output_format": 'GTIFF',
"options": "",
"input_nodata": 1000,
"output_nodata": 1000
}
raster_image_math.do_avg_image(**args)
def compute_monthly_prod_from_10d(input_file, output_file):
# ES2- 235 Do not show temporary products like composite not complete (ex monthly composite available mid month...)
input_file_date = functions.get_date_from_path_full(input_file[0])
if len(input_file) == 3:
if not functions.is_date_current_month(input_file_date):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {
"input_file": input_file,
"output_file": output_file,
"output_format": 'GTIFF',
"options": "compress = lzw"
}
raster_image_math.do_avg_image(**args)
def modis_chla_monavg(input_file, output_file):
output_file = functions.list_to_element(output_file)
out_filename=os.path.basename(output_file)
str_date=out_filename[0:6]
expected_ndays=functions.get_number_days_month(str_date)
functions.check_output_dir(os.path.dirname(output_file))
current_ndays=len(input_file)
if expected_ndays != current_ndays:
logger.info('Missing days for period: %s. Skip' % str_date)
else:
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', \
"options": "compress=lzw", "input_nodata": in_nodata}
raster_image_math.do_avg_image(**args)
def modis_chla_monavg(input_file, output_file):
output_file = functions.list_to_element(output_file)
out_filename = os.path.basename(output_file)
str_date = out_filename[0:6]
expected_ndays = functions.get_number_days_month(str_date)
functions.check_output_dir(os.path.dirname(output_file))
current_ndays = len(input_file)
if expected_ndays != current_ndays:
logger.info('Missing days for period: %s. Skip' % str_date)
else:
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', \
"options": "compress=lzw", "input_nodata": in_nodata}
raster_image_math.do_avg_image(**args)
def test_avg_image(self):
output_filename = 'fewsnet-rfe/10davg/1221_fewsnet-rfe_10davg_FEWSNET-Africa-8km_2.0.tif'
output_file = os.path.join(self.root_out_dir, output_filename)
ref_file = os.path.join(self.ref_dir, output_filename)
functions.check_output_dir(os.path.dirname(output_file))
args = {
"input_file": self.input_files,
"output_file": output_file,
"output_format": 'GTIFF',
"options": "compress = lzw"
}
raster_image_math.do_avg_image(**args)
equal = self.checkFile(ref_file, output_file)
self.assertEqual(equal, 1)
def std_precip_1monavg(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', "options": "compress=lzw"}
raster_image_math.do_avg_image(**args)
def vgt_ndvi_10davg_linearx2(input_file, output_file):
output_file = functions.list_to_element(output_file)
functions.check_output_dir(os.path.dirname(output_file))
args = {"input_file": input_file, "output_file": output_file, "output_format": 'GTIFF', "options": "compress = lzw"}
raster_image_math.do_avg_image(**args)
