pantierra/efast-phenocam-validation
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Added post-processing to align area size.

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This commit is contained in:
Felix Delattre 2026-01-11 12:33:43 +01:00
parent cd1a7d0ab8
commit bf92a399e2
5 changed files with 202 additions and 108 deletions
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29
run.py
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@ -1,9 +1,10 @@
from call_efast import run_efast, prepare_s2, prepare_s3
from post_process import process_cropped
from ndvi import (
generate_ndvi_raw,
create_ndvi_timeseries_raw,
generate_ndvi_prepared,
create_ndvi_timeseries_prepared,
generate_ndvi_post_process,
create_ndvi_timeseries_post_process,
)
from download_s2 import download_s2
from download_s3 import download_s3
@ -14,25 +15,27 @@ 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)
# download_s3(season, site_position, site_name)
# 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)
# generate_ndvi_raw(season, site_position, site_name)
# create_ndvi_timeseries_raw(season, site_position, site_name)
# print(f"Detecting clouds for {site_name}, {season}")
detect_clouds(season, site_name)
# detect_clouds(season, site_name)
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"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}, {season}")
run_efast(season, site_position, site_name)
# run_efast(season, site_position, site_name)
# 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)
print(f"Post-processing data: {site_name}, {season}")
process_cropped(season, site_position, site_name)
print(f"Generating NDVI for final outputs: {site_name}, {season}")
generate_ndvi_post_process(season, site_position, site_name)
create_ndvi_timeseries_post_process(season, site_position, site_name)
except Exception as e:
print(f"Error: {e}")