pantierra/efast-phenocam-validation
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Felix Delattre 2025-12-26 13:14:52 +01:00
parent 0a14711851
commit 290c8f8c57
6 changed files with 104 additions and 61 deletions
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run.py
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@ -1,34 +1,42 @@
from efast import run_efast, prepare_s2, prepare_s3
from ndvi import generate_ndvi_fusion, create_ndvi_timeseries_fusion
from ndvi import (
generate_ndvi_raw,
create_ndvi_timeseries_raw,
generate_ndvi_prepared,
create_ndvi_timeseries_prepared,
)
from download_s2 import download_s2
from download_s3 import download_s3
from clouds import detect_clouds
year = 2024
site_position = (47.116171, 11.320308)
site_name = "innsbruck"
# print(f"Downloading data for {site_name}, {year}")
# download_s2(year, site_position, site_name)
# download_s3(year, site_position, site_name)
# print("All downloads completed")
def run_pipeline(season, site_position, site_name):
try:
print(f"Downloading data for {site_name}, {season}")
download_s2(season, site_position, site_name)
download_s3(season, site_position, site_name)
# print(f"Generating NDVI for {site_name}, {year}")
# generate_ndvi(year, site_position, site_name)
# create_ndvi_timeseries(year, site_position, site_name)
# print("All NDVI generation completed")
print(f"Generating NDVI for raw data: {site_name}, {season}")
generate_ndvi_raw(season, site_position, site_name)
create_ndvi_timeseries_raw(season, site_position, site_name)
# print(f"Detecting clouds for {site_name}, {year}")
# detect_clouds(year, site_name)
# print("Cloud detection completed")
print(f"Detecting clouds for {site_name}, {season}")
detect_clouds(season, site_name)
# print(f"Preparing data for EFAST fusion for {site_name}, {year}")
# prepare_s2(year, site_position, site_name)
# prepare_s3(year, site_position, site_name)
# print("Data preparation completed")
print(f"Preparing data for EFAST fusion for {site_name}, {season}")
prepare_s2(season, site_position, site_name)
prepare_s3(season, site_position, site_name)
# print(f"Running EFAST fusion for {site_name}, {year}")
# run_efast(year, site_position, site_name)
# print("EFAST fusion completed")
print(f"Running EFAST fusion for {site_name}, {season}")
run_efast(season, site_position, site_name)
print(f"Generating NDVI for fusion outputs: {site_name}, {year}")
generate_ndvi_fusion(year, site_position, site_name)
create_ndvi_timeseries_fusion(year, site_position, site_name)
print("Fusion NDVI generation completed")
print(f"Generating NDVI for prepared outputs: {site_name}, {season}")
generate_ndvi_prepared(season, site_position, site_name)
create_ndvi_timeseries_prepared(season, site_position, site_name)
except Exception as e:
print(f"Error: {e}")
raise
if __name__ == "__main__":
run_pipeline(2024, (47.116171, 11.320308), "innsbruck")