pantierra/efast-phenocam-validation
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Added index then blend.

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This commit is contained in:
Felix Delattre 2026-04-11 17:39:19 +02:00
parent 8e7fb1de18
commit 55d6facc4d
8 changed files with 661 additions and 68 deletions
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33
run.py
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@ -1,10 +1,19 @@
from fusion import run_all_efast_scenarios
from postprocessing import post_process_all_scenarios, post_process_timeseries
from fusion import run_all_efast_scenarios, run_all_efast_itb_scenarios
from postprocessing import (
post_process_all_scenarios,
post_process_all_itb_scenarios,
post_process_timeseries,
)
from acquisition_s2 import download_s2
from acquisition_s3 import download_s3
from acquisition_phenocam import download_phenocam
from preselection import create_timeseries
from preparation import prepare_s2, prepare_s3
from preparation import (
prepare_s2,
prepare_s3,
prepare_s2_gcc_for_itb,
prepare_s3_gcc_for_itb,
)
from metrics_indices import create_prepared_fusion_timeseries
from metrics_stats import calculate_all_metrics
@ -12,10 +21,10 @@ from metrics_stats import calculate_all_metrics
def run_pipeline(season, site_position, site_name):
"""Run pipeline."""
try:
#print(f"Downloading S2, S3, and PhenoCam: {site_name}, {season}")
#download_s2(season, site_position, site_name)
#download_s3(season, site_position, site_name)
#download_phenocam(season, site_position, site_name)
# print(f"Downloading S2, S3, and PhenoCam: {site_name}, {season}")
# download_s2(season, site_position, site_name)
# download_s3(season, site_position, site_name)
# download_phenocam(season, site_position, site_name)
# print(f"Creating preselection timeseries: {site_name}, {season}")
# create_timeseries(season, site_position, site_name)
@ -28,13 +37,20 @@ def run_pipeline(season, site_position, site_name):
# print(f"Running EFAST fusion for all scenarios: {site_name}, {season}")
# run_all_efast_scenarios(season, site_position, site_name)
# Index-then-Blend (ItB): GCC stacks, EFAST fusion with product=GCC
# for strategy in ["aggressive", "nonaggressive"]:
# prepare_s2_gcc_for_itb(season, site_position, site_name, cleaning_strategy=strategy)
# prepare_s3_gcc_for_itb(season, site_position, site_name, cleaning_strategy=strategy)
# run_all_efast_itb_scenarios(season, site_position, site_name)
# post_process_all_itb_scenarios(season, site_position, site_name)
print(f"Creating prepared/fusion timeseries: {site_name}, {season}")
create_prepared_fusion_timeseries(season, site_position, site_name)
print(f"Post-processing: {site_name}, {season}")
# post_process_all_scenarios(season, site_position, site_name)
post_process_timeseries(season, site_position, site_name)
print(f"Calculating metrics: {site_name}, {season}")
# calculate_all_metrics(season, site_name, site_position)
@ -51,4 +67,3 @@ if __name__ == "__main__":
run_pipeline(2023, (64.2437, 19.7673), "vindeln2")
run_pipeline(2024, (36.7455, -6.0033), "sunflowerjerez1")
run_pipeline(2024, (42.6558, 26.9837), "institutekarnobat")