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wwf_sipa_post_processing.py
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import collections
import os
import logging
import sys
import subprocess
import shutil
import tempfile
from ecoshard import taskgraph
from ecoshard import geoprocessing
from osgeo import gdal
import numpy
from osgeo import ogr
logging.basicConfig(
level=logging.DEBUG,
format=(
'%(asctime)s (%(relativeCreated)d) %(levelname)s %(name)s'
' [%(pathname)s.%(funcName)s:%(lineno)d] %(message)s'),
stream=sys.stdout)
logging.getLogger('ecoshard.taskgraph').setLevel(logging.INFO)
LOGGER = logging.getLogger(__name__)
RESULTS_DIR = 'D:\\repositories\\wwf-sipa\\post_processing_results_updated_R_worstcase_2024_11_21'
CLIMATE_RESILIENT_PERCENTILES = os.path.join(RESULTS_DIR, 'climate_resilient_results')
MASK_SUBSET_DIR = os.path.join(RESULTS_DIR, 'mask_service_subsets')
for dir_path in [RESULTS_DIR, CLIMATE_RESILIENT_PERCENTILES, MASK_SUBSET_DIR]:
os.makedirs(dir_path, exist_ok=True)
def join_mask(mask_a_path, mask_b_path, joined_mask_path):
"""Intersect and a b into joined."""
a_nodata = geoprocessing.get_raster_info(mask_a_path)['nodata'][0]
b_nodata = geoprocessing.get_raster_info(mask_a_path)['nodata'][0]
target_nodata = 2
def mask_op(array_a, array_b):
valid_mask = numpy.ones(array_a.shape, dtype=bool)
result = numpy.full(array_a.shape, target_nodata, dtype=numpy.byte)
if a_nodata is not None:
valid_mask &= array_a != a_nodata
if b_nodata is not None:
valid_mask &= array_b != b_nodata
result[valid_mask] = (
(array_a[valid_mask] == 1) & (array_b[valid_mask] == 1))
return result
aligned_dir = tempfile.mkdtemp(
prefix='join_mask_', dir=os.path.dirname(joined_mask_path))
aligned_target_raster_path_list = [
os.path.join(aligned_dir, f'align_{os.path.basename(path)}')
for path in [mask_a_path, mask_b_path]]
pixel_size = geoprocessing.get_raster_info(
mask_a_path)['pixel_size']
geoprocessing.align_and_resize_raster_stack(
[mask_a_path, mask_b_path], aligned_target_raster_path_list,
['near'] * 2, pixel_size, 'intersection')
pre_cog_target = os.path.join(aligned_dir, os.path.basename(joined_mask_path))
geoprocessing.single_thread_raster_calculator(
[(path, 1) for path in aligned_target_raster_path_list], mask_op,
pre_cog_target, gdal.GDT_Byte, target_nodata)
subprocess.check_call(
f'gdal_translate {pre_cog_target} {joined_mask_path} -of COG -co BIGTIFF=YES')
shutil.rmtree(aligned_dir)
def add_rasters(raster_path_list, target_raster_path, target_datatype):
"""Add all rasters together, do not consider nodata issues."""
working_dir = tempfile.mkdtemp(
prefix='_ok_to_delete_add_rasters_', dir=os.path.dirname(target_raster_path))
aligned_target_raster_path_list = [
os.path.join(working_dir, f'align_{os.path.basename(path)}')
for path in raster_path_list]
pixel_size = geoprocessing.get_raster_info(
raster_path_list[0])['pixel_size']
geoprocessing.align_and_resize_raster_stack(
raster_path_list, aligned_target_raster_path_list, ['near'] * len(raster_path_list),
pixel_size, 'intersection')
def _sum_op(*array_list):
return numpy.sum(array_list, axis=0)
pre_cog_target = os.path.join(working_dir, os.path.basename(target_raster_path))
geoprocessing.single_thread_raster_calculator(
[(path, 1) for path in aligned_target_raster_path_list], _sum_op, pre_cog_target,
target_datatype, 0,
allow_different_blocksize=True)
subprocess.check_call(
f'gdal_translate {pre_cog_target} {target_raster_path} -of COG -co BIGTIFF=YES')
shutil.rmtree(working_dir)
def make_top_nth_percentile_masks(
base_raster_path, top_percentile_list, target_raster_path_pattern):
"""Mask base by mask such that any nodata in mask is set to nodata in base."""
ordered_top_percentile_list = list(sorted(top_percentile_list, reverse=True))
# need to convert this to "gte" format so if top 10th percent, we get 90th percentile
raw_percentile_list = [100 - float(x) for x in ordered_top_percentile_list]
working_dir = tempfile.mkdtemp(
prefix='percentile_sort_', dir=os.path.dirname(target_raster_path_pattern))
os.makedirs(working_dir, exist_ok=True)
percentile_values = geoprocessing.raster_band_percentile(
(base_raster_path, 1), working_dir,
raw_percentile_list,
heap_buffer_size=2**28,
ffi_buffer_size=2**10)
base_info = geoprocessing.get_raster_info(base_raster_path)
base_nodata = base_info['nodata'][0]
target_raster_path_result_list = []
for percentile_value, top_nth_percentile in zip(percentile_values, ordered_top_percentile_list):
def mask_nth_percentile_op(base_array):
result = numpy.zeros(base_array.shape)
valid_mask = (base_array != base_nodata) & numpy.isfinite(base_array)
valid_mask &= (base_array >= percentile_value)
result[valid_mask] = 1
return result
target_raster_path = target_raster_path_pattern.format(percentile=top_nth_percentile)
target_raster_path_result_list.append(target_raster_path)
pre_cog_target_raster_path = os.path.join(working_dir, os.path.basename(target_raster_path))
geoprocessing.single_thread_raster_calculator(
[(base_raster_path, 1)], mask_nth_percentile_op,
pre_cog_target_raster_path, gdal.GDT_Byte, None)
subprocess.check_call(
f'gdal_translate {pre_cog_target_raster_path} {target_raster_path} -of COG -co BIGTIFF=YES')
shutil.rmtree(working_dir)
return target_raster_path_result_list
def raster_op(
op_str, base_raster_path_list, target_raster_path, target_nodata=None,
target_datatype=None):
working_dir = tempfile.mkdtemp(
prefix='ok_to_delete_', dir=os.path.dirname(target_raster_path))
target_basename = os.path.splitext(os.path.basename(target_raster_path))[0]
aligned_target_raster_path_list = [
os.path.join(working_dir, f'align_{target_basename}_{os.path.basename(path)}')
for path in base_raster_path_list]
pixel_size = geoprocessing.get_raster_info(
base_raster_path_list[0])['pixel_size']
geoprocessing.align_and_resize_raster_stack(
base_raster_path_list, aligned_target_raster_path_list,
['near'] * len(base_raster_path_list), pixel_size, 'intersection')
raster_info = geoprocessing.get_raster_info(base_raster_path_list[0])
nodata_list = [
geoprocessing.get_raster_info(path)['nodata'][0]
for path in aligned_target_raster_path_list]
if target_nodata is None:
target_nodata = nodata_list[0]
def _op(*array_list):
final_valid_mask = numpy.zeros(array_list[0].shape, dtype=bool)
if op_str == '-':
result = array_list[0]
array_list = array_list[1:]
elif op_str == '+':
result = numpy.zeros(array_list[0].shape)
elif op_str == '*':
result = numpy.ones(array_list[0].shape)
final_valid_mask[:] = True # all vals need to be defined for mult
for array, nodata in zip(array_list, nodata_list):
local_valid_mask = numpy.isfinite(array) & (array != 0)
if nodata is not None:
local_valid_mask &= (array != nodata)
if op_str == '*':
# if * then all values need to be defined
final_valid_mask &= local_valid_mask
else:
# otherwise we treat nodata as 0
final_valid_mask |= local_valid_mask
eval_str = (
f'result[local_valid_mask] {op_str} array[local_valid_mask]')
result[local_valid_mask] = eval(eval_str)
result[~final_valid_mask] = target_nodata
return result
if target_datatype is None:
target_datatype = raster_info['datatype']
pre_cog_target_raster_path = os.path.join(
working_dir, os.path.basename(target_raster_path))
geoprocessing.single_thread_raster_calculator(
[(path, 1) for path in aligned_target_raster_path_list],
_op, pre_cog_target_raster_path, target_datatype, target_nodata)
subprocess.check_call(
f'gdal_translate {pre_cog_target_raster_path} {target_raster_path} -of COG -co BIGTIFF=YES')
try:
shutil.rmtree(working_dir)
except PermissionError:
LOGGER.exception(f'could not delete {working_dir}, but leaving it there to keep going')
def main():
# diff x benes x services (4) x scenarios (2) x climage (2)
country_list = ['PH', 'IDN']
# TODO: do i need to update this vector?
country_vector_list = [
('PH', './data/admin_boundaries/PH_gdam2.gpkg'),
('IDN', './data/admin_boundaries/IDN_adm1.gpkg'),
]
scenario_list = ['restoration', 'conservation_inf', 'conservation_all']
climate_list = ['ssp245']
beneficiary_list = ['dspop', 'road']
top_percentile_list = [10]
ADMIN_POLYGONS = {
'PH': [
"./data/admin_boundaries/ph_visayas.gpkg",
"./data/admin_boundaries/ph_luzon.gpkg",
"./data/admin_boundaries/ph_mindanao.gpkg",
],
'IDN': [
"./data/admin_boundaries/idn_java.gpkg",
"./data/admin_boundaries/idn_kalimantan.gpkg",
"./data/admin_boundaries/idn_maluku_islands.gpkg",
"./data/admin_boundaries/idn_nusa_tenggara.gpkg",
"./data/admin_boundaries/idn_paupa.gpkg",
"./data/admin_boundaries/idn_sulawesi.gpkg",
"./data/admin_boundaries/idn_sumatra.gpkg",
]
}
DIFF_FLOOD_MITIGATION_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, "diff_flood_mitigation_IDN_conservation_inf.tif")
DIFF_FLOOD_MITIGATION_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "diff_flood_mitigation_IDN_conservation_inf_ssp245.tif")
DIFF_FLOOD_MITIGATION_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_flood_mitigation_IDN_conservation_all.tif')
DIFF_FLOOD_MITIGATION_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'diff_flood_mitigation_IDN_conservation_all_ssp245.tif')
DIFF_FLOOD_MITIGATION_IDN_RESTORATION = os.path.join(RESULTS_DIR, "diff_flood_mitigation_IDN_restoration.tif")
DIFF_FLOOD_MITIGATION_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "diff_flood_mitigation_IDN_restoration_ssp245.tif")
DIFF_FLOOD_MITIGATION_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, "diff_flood_mitigation_PH_conservation_inf.tif")
DIFF_FLOOD_MITIGATION_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "diff_flood_mitigation_PH_conservation_inf_ssp245.tif")
DIFF_FLOOD_MITIGATION_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_flood_mitigation_PH_conservation_all.tif')
DIFF_FLOOD_MITIGATION_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'diff_flood_mitigation_PH_conservation_all_ssp245.tif')
DIFF_FLOOD_MITIGATION_PH_RESTORATION = os.path.join(RESULTS_DIR, "diff_flood_mitigation_PH_restoration.tif")
DIFF_FLOOD_MITIGATION_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "diff_flood_mitigation_PH_restoration_ssp245.tif")
DIFF_QUICKFLOW_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, 'diff_quickflow_IDN_conservation_inf.tif')
DIFF_QUICKFLOW_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, 'diff_quickflow_IDN_conservation_inf_ssp245.tif')
DIFF_QUICKFLOW_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_quickflow_IDN_conservation_all.tif')
DIFF_QUICKFLOW_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'diff_quickflow_IDN_conservation_all_ssp245.tif')
DIFF_QUICKFLOW_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_quickflow_PH_conservation_all.tif')
DIFF_QUICKFLOW_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'diff_quickflow_PH_conservation_all_ssp245.tif')
DIFF_QUICKFLOW_IDN_RESTORATION = os.path.join(RESULTS_DIR, 'diff_quickflow_IDN_restoration.tif')
DIFF_QUICKFLOW_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, 'diff_quickflow_IDN_restoration_ssp245.tif')
DIFF_QUICKFLOW_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, 'diff_quickflow_PH_conservation_inf.tif')
DIFF_QUICKFLOW_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, 'diff_quickflow_PH_conservation_inf_ssp245.tif')
DIFF_QUICKFLOW_PH_RESTORATION = os.path.join(RESULTS_DIR, 'diff_quickflow_PH_restoration.tif')
DIFF_QUICKFLOW_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, 'diff_quickflow_PH_restoration_ssp245.tif')
DIFF_RECHARGE_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, 'diff_recharge_IDN_conservation_inf.tif')
DIFF_RECHARGE_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "diff_recharge_IDN_conservation_inf_ssp245.tif")
DIFF_RECHARGE_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_recharge_IDN_conservation_all.tif')
DIFF_RECHARGE_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'diff_recharge_IDN_conservation_all_ssp245.tif')
DIFF_RECHARGE_IDN_RESTORATION = os.path.join(RESULTS_DIR, 'diff_recharge_IDN_restoration.tif')
DIFF_RECHARGE_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "diff_recharge_IDN_restoration_ssp245.tif")
DIFF_RECHARGE_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, 'diff_recharge_PH_conservation_inf.tif')
DIFF_RECHARGE_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "diff_recharge_PH_conservation_inf_ssp245.tif")
DIFF_RECHARGE_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_recharge_PH_conservation_all.tif')
DIFF_RECHARGE_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'diff_recharge_PH_conservation_all_ssp245.tif')
DIFF_RECHARGE_PH_RESTORATION = os.path.join(RESULTS_DIR, 'diff_recharge_PH_restoration.tif')
DIFF_RECHARGE_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "diff_recharge_PH_restoration_ssp245.tif")
FLOOD_IDN_BASELINE_HISTORICAL_CLIMATE = os.path.join(RESULTS_DIR, "flood_IDN_baseline_historical_climate.tif")
FLOOD_PH_BASELINE_HISTORICAL_CLIMATE = os.path.join(RESULTS_DIR, "flood_PH_baseline_historical_climate.tif")
DIFF_SEDIMENT_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_sediment_IDN_conservation_all.tif')
DIFF_SEDIMENT_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "diff_sediment_IDN_conservation_all_ssp245.tif")
DIFF_SEDIMENT_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, 'diff_sediment_IDN_conservation_inf.tif')
DIFF_SEDIMENT_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "diff_sediment_IDN_conservation_inf_ssp245.tif")
DIFF_SEDIMENT_IDN_RESTORATION = os.path.join(RESULTS_DIR, 'diff_sediment_IDN_restoration.tif')
DIFF_SEDIMENT_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "diff_sediment_IDN_restoration_ssp245.tif")
DIFF_SEDIMENT_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'diff_sediment_PH_conservation_all.tif')
DIFF_SEDIMENT_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "diff_sediment_PH_conservation_all_ssp245.tif")
DIFF_SEDIMENT_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, 'diff_sediment_PH_conservation_inf.tif')
DIFF_SEDIMENT_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "diff_sediment_PH_conservation_inf_ssp245.tif")
DIFF_SEDIMENT_PH_RESTORATION = os.path.join(RESULTS_DIR, 'diff_sediment_PH_restoration.tif')
DIFF_SEDIMENT_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "diff_sediment_PH_restoration_ssp245.tif")
DSPOP_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_IDN_conservation_inf.tif")
DSPOP_SERVICE_FLOOD_MITIGATION_IDN_RESTORATION = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_IDN_restoration.tif")
DSPOP_SERVICE_FLOOD_MITIGATION_PH_RESTORATION = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_PH_restoration.tif")
DSPOP_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_PH_conservation_inf.tif")
DSPOP_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'service_dspop_flood_mitigation_PH_conservation_all.tif')
DSPOP_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'service_dspop_flood_mitigation_PH_conservation_all_ssp245.tif')
ROAD_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_IDN_conservation_all.tif")
ROAD_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_IDN_conservation_all_ssp245.tif")
ROAD_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_IDN_conservation_inf.tif")
ROAD_SERVICE_FLOOD_MITIGATION_IDN_RESTORATION = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_IDN_restoration.tif")
ROAD_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_PH_conservation_all.tif")
ROAD_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_PH_conservation_all_ssp245.tif")
ROAD_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_PH_conservation_inf.tif")
ROAD_SERVICE_FLOOD_MITIGATION_PH_RESTORATION = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_PH_restoration.tif")
DSPOP_SERVICE_RECHARGE_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'service_dspop_recharge_IDN_conservation_all.tif')
DSPOP_SERVICE_RECHARGE_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'service_dspop_recharge_IDN_conservation_all_ssp245.tif')
DSPOP_SERVICE_RECHARGE_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_dspop_recharge_IDN_conservation_inf.tif")
DSPOP_SERVICE_RECHARGE_IDN_RESTORATION = os.path.join(RESULTS_DIR, "service_dspop_recharge_IDN_restoration.tif")
DSPOP_SERVICE_RECHARGE_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_dspop_recharge_PH_conservation_inf.tif")
DSPOP_SERVICE_RECHARGE_PH_RESTORATION = os.path.join(RESULTS_DIR, "service_dspop_recharge_PH_restoration.tif")
DSPOP_SERVICE_SEDIMENT_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, "service_dspop_sediment_IDN_conservation_all.tif")
DSPOP_SERVICE_SEDIMENT_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_dspop_sediment_IDN_conservation_inf.tif")
DSPOP_SERVICE_SEDIMENT_IDN_RESTORATION = os.path.join(RESULTS_DIR, "service_dspop_sediment_IDN_restoration.tif")
DSPOP_SERVICE_SEDIMENT_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, "service_dspop_sediment_PH_conservation_all.tif")
DSPOP_SERVICE_SEDIMENT_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_dspop_sediment_PH_conservation_inf.tif")
DSPOP_SERVICE_SEDIMENT_PH_RESTORATION = os.path.join(RESULTS_DIR, "service_dspop_sediment_PH_restoration.tif")
ROAD_SERVICE_SEDIMENT_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, "service_road_sediment_IDN_conservation_all.tif")
ROAD_SERVICE_SEDIMENT_IDN_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_road_sediment_IDN_conservation_inf.tif")
ROAD_SERVICE_SEDIMENT_IDN_RESTORATION = os.path.join(RESULTS_DIR, "service_road_sediment_IDN_restoration.tif")
ROAD_SERVICE_SEDIMENT_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, "service_road_sediment_PH_conservation_all.tif")
ROAD_SERVICE_SEDIMENT_PH_CONSERVATION_INF = os.path.join(RESULTS_DIR, "service_road_sediment_PH_conservation_inf.tif")
ROAD_SERVICE_SEDIMENT_PH_RESTORATION = os.path.join(RESULTS_DIR, "service_road_sediment_PH_restoration.tif")
# need all
DSPOP_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'service_dspop_flood_mitigation_IDN_conservation_all.tif')
DSPOP_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'service_dspop_flood_mitigation_IDN_conservation_all_ssp245.tif')
DSPOP_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_IDN_conservation_inf_ssp245.tif")
DSPOP_SERVICE_FLOOD_MITIGATION_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_IDN_restoration_ssp245.tif")
# need all
DSPOP_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_PH_conservation_inf_ssp245.tif")
DSPOP_SERVICE_FLOOD_MITIGATION_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_flood_mitigation_PH_restoration_ssp245.tif")
# need all
DSPOP_SERVICE_RECHARGE_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_recharge_IDN_conservation_inf_ssp245.tif")
DSPOP_SERVICE_RECHARGE_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_recharge_IDN_restoration_ssp245.tif")
# need all
DSPOP_SERVICE_RECHARGE_PH_CONSERVATION_ALL = os.path.join(RESULTS_DIR, 'service_dspop_recharge_PH_conservation_all.tif')
DSPOP_SERVICE_RECHARGE_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, 'service_dspop_recharge_PH_conservation_all_ssp245.tif')
DSPOP_SERVICE_RECHARGE_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_recharge_PH_conservation_inf_ssp245.tif")
DSPOP_SERVICE_RECHARGE_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_recharge_PH_restoration_ssp245.tif")
DSPOP_SERVICE_SEDIMENT_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_sediment_IDN_conservation_all_ssp245.tif")
DSPOP_SERVICE_SEDIMENT_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_sediment_IDN_conservation_inf_ssp245.tif")
DSPOP_SERVICE_SEDIMENT_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_sediment_IDN_restoration_ssp245.tif")
DSPOP_SERVICE_SEDIMENT_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_sediment_PH_conservation_all_ssp245.tif")
DSPOP_SERVICE_SEDIMENT_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_sediment_PH_conservation_inf_ssp245.tif")
DSPOP_SERVICE_SEDIMENT_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_dspop_sediment_PH_restoration_ssp245.tif")
ROAD_SERVICE_FLOOD_MITIGATION_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_IDN_conservation_inf_ssp245.tif")
ROAD_SERVICE_FLOOD_MITIGATION_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_IDN_restoration_ssp245.tif")
ROAD_SERVICE_FLOOD_MITIGATION_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_PH_conservation_inf_ssp245.tif")
ROAD_SERVICE_FLOOD_MITIGATION_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_road_flood_mitigation_PH_restoration_ssp245.tif")
ROAD_SERVICE_SEDIMENT_IDN_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "service_road_sediment_IDN_conservation_all_ssp245.tif")
ROAD_SERVICE_SEDIMENT_IDN_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_road_sediment_IDN_conservation_inf_ssp245.tif")
ROAD_SERVICE_SEDIMENT_IDN_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_road_sediment_IDN_restoration_ssp245.tif")
ROAD_SERVICE_SEDIMENT_PH_CONSERVATION_ALL_SSP245 = os.path.join(RESULTS_DIR, "service_road_sediment_PH_conservation_all_ssp245.tif")
ROAD_SERVICE_SEDIMENT_PH_CONSERVATION_INF_SSP245 = os.path.join(RESULTS_DIR, "service_road_sediment_PH_conservation_inf_ssp245.tif")
ROAD_SERVICE_SEDIMENT_PH_RESTORATION_SSP245 = os.path.join(RESULTS_DIR, "service_road_sediment_PH_restoration_ssp245.tif")
DS_POP_SERVICE_CV_IDN_CONSERVATION_INF_RESULT = os.path.join(RESULTS_DIR, 'service_dspop_cv_idn_conservation_inf_result.tif')
DS_POP_SERVICE_CV_IDN_RESTORATION_RESULT = os.path.join(RESULTS_DIR, 'service_dspop_cv_idn_restoration_result.tif')
ROAD_SERVICE_CV_IDN_CONSERVATION_INF_RESULT = os.path.join(RESULTS_DIR, 'service_road_cv_idn_conservation_inf_result.tif')
ROAD_SERVICE_CV_IDN_RESTORATION_RESULT = os.path.join(RESULTS_DIR, 'service_road_cv_idn_restoration_result.tif')
DS_POP_SERVICE_CV_PH_CONSERVATION_INF_RESULT = os.path.join(RESULTS_DIR, 'service_dspop_cv_ph_conservation_inf_result.tif')
DS_POP_SERVICE_CV_PH_RESTORATION_RESULT = os.path.join(RESULTS_DIR, 'service_dspop_cv_ph_restoration_result.tif')
ROAD_SERVICE_CV_PH_CONSERVATION_INF_RESULT = os.path.join(RESULTS_DIR, 'service_road_cv_ph_conservation_inf_result.tif')
ROAD_SERVICE_CV_PH_RESTORATION_RESULT = os.path.join(RESULTS_DIR, 'service_road_cv_ph_restoration_result.tif')
# service first then beneficiary after
ADD_RASTER_SET = [
(r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\forest_mangrove_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\forest_mangroves_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\reefs_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\saltmarsh_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\savanna_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\seagrass_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\secondary forest_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\woody_crop_population_less_than_2m_value_index.tif",
DS_POP_SERVICE_CV_IDN_CONSERVATION_INF_RESULT
),
(r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\woody_crop_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\forest_mangrove_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\forest_mangroves_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\reefs_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\saltmarsh_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\savanna_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\seagrass_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_baseline\value_rasters\secondary forest_roads_within_15km_value_index.tif",
ROAD_SERVICE_CV_IDN_CONSERVATION_INF_RESULT
),
(r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\forest_mangrove_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\forest_mangroves_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\reefs_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\saltmarsh_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\savanna_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\seagrass_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\secondary forest_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\woody_crop_population_less_than_2m_value_index.tif",
DS_POP_SERVICE_CV_IDN_RESTORATION_RESULT
),
(r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\woody_crop_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\forest_mangrove_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\forest_mangroves_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\reefs_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\saltmarsh_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\savanna_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\seagrass_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\IDN_restoration\value_rasters\secondary forest_roads_within_15km_value_index.tif",
ROAD_SERVICE_CV_IDN_RESTORATION_RESULT
),
(r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\brush_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\grassland_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\perennial_crop_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\forest_mangroves_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\reefs_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\saltmarsh_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\seagrass_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\secondary forest_population_less_than_2m_value_index.tif",
DS_POP_SERVICE_CV_PH_CONSERVATION_INF_RESULT
),
(r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\brush_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\grassland_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\perennial_crop_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\forest_mangroves_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\reefs_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\saltmarsh_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\seagrass_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_baseline\value_rasters\secondary forest_roads_within_15km_value_index.tif",
ROAD_SERVICE_CV_PH_CONSERVATION_INF_RESULT
),
(r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\brush_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\grassland_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\perennial_crop_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\forest_mangroves_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\reefs_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\saltmarsh_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\seagrass_population_less_than_2m_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\secondary forest_population_less_than_2m_value_index.tif",
DS_POP_SERVICE_CV_PH_RESTORATION_RESULT
),
(r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\brush_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\grassland_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\perennial_crop_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\forest_mangroves_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\reefs_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\saltmarsh_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\seagrass_roads_within_15km_value_index.tif",
r"D:\repositories\coastal_risk_reduction\workspace\ph_restoration\value_rasters\secondary forest_roads_within_15km_value_index.tif",
ROAD_SERVICE_CV_PH_RESTORATION_RESULT
),
]
SUBTRACT_RASTER_SET = [
(
r"D:\repositories\ndr_sdr_global\wwf_IDN_baseline_historical_climate\stitched_sed_export_wwf_IDN_baseline_historical_climate.tif",
r"D:\repositories\ndr_sdr_global\wwf_IDN_restoration_historical_climate\stitched_sed_export_wwf_IDN_restoration_historical_climate.tif",
DIFF_SEDIMENT_IDN_RESTORATION
),
(
r"D:\repositories\ndr_sdr_global\wwf_IDN_baseline_ssp245_climate\stitched_sed_export_wwf_IDN_baseline_ssp245_climate.tif",
r"D:\repositories\ndr_sdr_global\wwf_IDN_restoration_ssp245_climate\stitched_sed_export_wwf_IDN_restoration_ssp245_climate.tif",
DIFF_SEDIMENT_IDN_RESTORATION_SSP245
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]
# prevent add and mult from doing it
add_output_set = set([t[-1] for t in ADD_RASTER_SET])
multiply_output_set = set([t[-1] for t in MULTIPLY_RASTER_SET])
subtract_output_set = set([t[-1] for t in SUBTRACT_RASTER_SET])
path_count = collections.defaultdict(int)
for p in MULTIPLY_RASTER_SET:
path = p[2]
path_count[path] += 1
if path_count[path] > 1:
print(f'duplicate: {path}')
print(len(add_output_set) == len(ADD_RASTER_SET))
print(len(subtract_output_set) == len(SUBTRACT_RASTER_SET))
print(len(multiply_output_set) == len(MULTIPLY_RASTER_SET))
print(len(set(MULTIPLY_RASTER_SET)) == len(MULTIPLY_RASTER_SET))
for raster_path_list_plus_target in \
ADD_RASTER_SET+SUBTRACT_RASTER_SET+MULTIPLY_RASTER_SET:
for p in raster_path_list_plus_target[:-1]:
if not os.path.exists(p) and RESULTS_DIR not in p:
print(f'input path does not exist: {p}')
task_graph = taskgraph.TaskGraph(RESULTS_DIR, os.cpu_count()//2+2, 15.0)
service_raster_path_list = []
task_set = {}
for raster_path_list_plus_target, op_str in (
[(path_set, '-') for path_set in SUBTRACT_RASTER_SET] +
[(path_set, '+') for path_set in ADD_RASTER_SET] +
[(path_set, '*') for path_set in MULTIPLY_RASTER_SET]):
dependent_task_list = []
target_raster_path = raster_path_list_plus_target[-1]
input_rasters = raster_path_list_plus_target[:-1]
for p in input_rasters:
if p in task_set:
dependent_task_list.append(task_set[p])
op_task = task_graph.add_task(
func=raster_op,
args=(op_str, input_rasters, target_raster_path),
target_path_list=[target_raster_path],
dependent_task_list=dependent_task_list,
task_name=f'calcualte {target_raster_path}')
if target_raster_path in task_set:
raise ValueError(f'calculating a result that we already calculated {target_raster_path}')
task_set[target_raster_path] = op_task
if 'service' in target_raster_path:
service_raster_path_list.append((target_raster_path, op_task))
percentile_task_list = []
for service_path, service_task in service_raster_path_list:
# for ADMIN_POLYGONS
# 1) mask out service path for each polygon
# 2) get the percentile for that service path
# 3) add all the sub percentiles back together into one raster
for country_code in ADMIN_POLYGONS:
if f'{country_code.lower()}_' in service_path.lower():
# this sets `country_code` to be the current country code
break
# country_code is the right country code now
per_admin_task_list = []
for admin_vector_path in ADMIN_POLYGONS[country_code]:
# mask service_path to admin_vector_path
admin_basename = os.path.splitext(os.path.basename(admin_vector_path))[0]
masked_service_path = os.path.join(
MASK_SUBSET_DIR, f'{admin_basename}_{os.path.basename(service_path)}')
mask_task = task_graph.add_task(
func=geoprocessing.mask_raster,
args=(
(service_path, 1), admin_vector_path, masked_service_path),
kwargs={
'working_dir': MASK_SUBSET_DIR,
'allow_different_blocksize': True},
target_path_list=[masked_service_path],
dependent_task_list=[service_task],
task_name=f'mask {service_path} by {admin_vector_path}')
percentile_task = task_graph.add_task(
func=make_top_nth_percentile_masks,
args=(
masked_service_path,
top_percentile_list,
os.path.join(RESULTS_DIR, 'top_{percentile}th_percentile_' + os.path.basename(masked_service_path))),
dependent_task_list=[mask_task],
store_result=True,
task_name=f'percentile for {masked_service_path}')
per_admin_task_list.append(percentile_task)
# right here -> get this aggregated together into one path
percentile_task_list.append((service_path, per_admin_task_list))
task_graph.join()
percentile_raster_list = []
for service_path, per_admin_percentile_task_list in percentile_task_list:
percentile_sets = collections.defaultdict(list)
for local_admin_percentile_task in per_admin_percentile_task_list:
# gather into each percentile
for local_admin_service_path in local_admin_percentile_task.get():
for percentile_value in top_percentile_list:
if f'top_{percentile_value}' in local_admin_service_path:
percentile_sets[percentile_value].append(local_admin_service_path)
# add the sub-islands together
for percentile_value in top_percentile_list:
target_percentile_sum = os.path.join(
RESULTS_DIR, f'top_{percentile_value}th_percentile_'+os.path.basename(service_path))
task_graph.add_task(
func=raster_op,
args=('+', percentile_sets[percentile_value], target_percentile_sum),
target_path_list=[target_percentile_sum],
task_name=(
f're-sum the percentiles to {target_percentile_sum} for '
f'percentile {percentile_value} for these rasters: '
f'{percentile_sets[percentile_value]} on the original service raster of {service_path}'))
percentile_raster_list.append(target_percentile_sum)
task_graph.join()
# if there are any percentile rasters that are with and without a climate ID then collapse those into a single raster
future_climate_scenario_id = climate_list[0]
resilient_task_list = []
for local_percentile_raster in list(percentile_raster_list):
if local_percentile_raster.endswith(
f'{future_climate_scenario_id}.tif'):
# we need to collapose into climate resilient
base_local_percentile_raster = local_percentile_raster.replace(
f'_{future_climate_scenario_id}', '')
LOGGER.debug(f'*** collapse {local_percentile_raster} into {base_local_percentile_raster}')
percentile_raster_list.remove(local_percentile_raster)
percentile_raster_list.remove(base_local_percentile_raster)
resilient_raster_path = os.path.join(
CLIMATE_RESILIENT_PERCENTILES,
os.path.basename(local_percentile_raster))
percentile_raster_list.append(resilient_raster_path)
# only take the mask of both
join_mask_task = task_graph.add_task(
func=join_mask,
args=(
local_percentile_raster, base_local_percentile_raster,
resilient_raster_path),
target_path_list=[resilient_raster_path],
task_name=f'join for {resilient_raster_path}')
resilient_task_list.append(join_mask_task)
percentile_groups = collections.defaultdict(list)
LOGGER.debug(f'************ THESE ARE THE PERCNTILES {percentile_raster_list}')
for percentile_raster_path in percentile_raster_list:
index_substring = ''
for substring_list in [top_percentile_list, country_list, scenario_list, beneficiary_list]:
found = False
for substring in substring_list:
if str(substring).lower() in percentile_raster_path.lower():
index_substring += f'{substring}_'
found = True
break
if not found:
# shortcut for doing a single country
continue
percentile_groups[index_substring].append(percentile_raster_path)
overlap_file_list = open('overlap.txt', 'w')
for key, percentile_raster_group in percentile_groups.items():
service_overlap_raster_path = os.path.join(RESULTS_DIR, f'{key}service_overlap_count.tif')
_ = task_graph.add_task(
func=add_rasters,
args=(percentile_raster_group, service_overlap_raster_path, gdal.GDT_Byte),
dependent_task_list=resilient_task_list,
target_path_list=[service_overlap_raster_path],
task_name=f'collect service count for {key}')