pantierra/efast-phenocam-validation
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refactored download and preselection.

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This commit is contained in:
Felix Delattre 2026-02-21 00:09:34 +01:00
parent 3919b8e871
commit ac0e687956
8 changed files with 206 additions and 164 deletions
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74
run.py
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@ -1,46 +1,39 @@
from fusion import run_all_efast_scenarios
from postprocessing import process_all_scenarios
from metrics_indices import (
create_ndvi_timeseries_raw,
create_ndvi_timeseries_post_process,
create_gcc_timeseries_post_process,
create_s2_bands_timeseries_post_process,
)
# from fusion import run_all_efast_scenarios
# from postprocessing import process_all_scenarios
# from metrics_indices import (
# create_ndvi_timeseries_post_process,
# create_gcc_timeseries_post_process,
# create_s2_bands_timeseries_post_process,
# )
from acquisition_s2 import download_s2
from acquisition_s3 import download_s3
from acquisition_phenocam import download_phenocam, download_phenocam_greenness
from metrics_stats import calculate_all_metrics
from acquisition_phenocam import download_phenocam
from preselection import create_timeseries
# from metrics_stats import calculate_all_metrics
def run_pipeline(season, site_position, site_name):
"""Run pipeline (downloads + EFAST fusion + post-process + metrics)."""
"""Run pipeline (downloads + preselection)."""
try:
# Download steps (needed for new site/season)
#download_s2(season, site_position, site_name)
#download_s3(season, site_position, site_name)
#download_phenocam(season, site_position, site_name)
#download_phenocam_greenness(season, site_position, site_name)
download_s2(season, site_position, site_name)
download_s3(season, site_position, site_name)
download_phenocam(season, site_position, site_name)
#print(f"Generating NDVI for raw data: {site_name}, {season}")
#create_ndvi_timeseries_raw(season, site_position, site_name)
print(f"Creating preselection timeseries: {site_name}, {season}")
create_timeseries(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)
print(f"Post-processing data: {site_name}, {season}")
process_all_scenarios(season, site_position, site_name)
print(f"Generating NDVI for final outputs: {site_name}, {season}")
create_ndvi_timeseries_post_process(season, site_position, site_name)
print(f"Generating GCC for final outputs: {site_name}, {season}")
create_gcc_timeseries_post_process(season, site_position, site_name)
print(f"Generating S2 band timeseries: {site_name}, {season}")
create_s2_bands_timeseries_post_process(season, site_position, site_name)
print(f"Calculating metrics: {site_name}, {season}")
calculate_all_metrics(season, site_name, site_position)
# print(f"Running EFAST fusion for all scenarios: {site_name}, {season}")
# run_all_efast_scenarios(season, site_position, site_name)
# print(f"Post-processing data: {site_name}, {season}")
# process_all_scenarios(season, site_position, site_name)
# print(f"Generating NDVI for final outputs: {site_name}, {season}")
# create_ndvi_timeseries_post_process(season, site_position, site_name)
# print(f"Generating GCC for final outputs: {site_name}, {season}")
# create_gcc_timeseries_post_process(season, site_position, site_name)
# print(f"Generating S2 band timeseries: {site_name}, {season}")
# create_s2_bands_timeseries_post_process(season, site_position, site_name)
# print(f"Calculating metrics: {site_name}, {season}")
# calculate_all_metrics(season, site_name, site_position)
except Exception as e:
print(f"Error: {e}")
@ -48,8 +41,11 @@ def run_pipeline(season, site_position, site_name):
if __name__ == "__main__":
run_pipeline(2024, (47.116171, 11.320308), "innsbruck")
# forthgr - FORTH Heraklion Greece, Agriculture, 2024
# sites.geojson: lon=25.0743, lat=35.3045
#run_pipeline(2024, (35.3045, 25.0743), "forthgr")
run_pipeline(2024, (47.116171, 11.320308), "innsbruck")
#run_pipeline(2020, (47.116171, 11.320308), "innsbruck")
#run_pipeline(2024, (58.5633, 24.3688), "pitsalu")
#run_pipeline(2023, (64.2437, 19.7673), "vindeln2")
#run_pipeline(2024, (36.7455, -6.0033), "sunflowerjerez1")
#run_pipeline(2024, (42.6558, 26.9837), "institutekarnobat")