51 lines
2 KiB
Python
51 lines
2 KiB
Python
from call_efast import run_all_efast_scenarios
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from post_process import process_all_scenarios
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from generate_indexes import (
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generate_ndvi_raw,
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create_ndvi_timeseries_raw,
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generate_ndvi_post_process,
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create_ndvi_timeseries_post_process,
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generate_gcc_post_process,
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create_gcc_timeseries_post_process,
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)
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from download_s2 import download_s2
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from download_s3 import download_s3
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from download_phenocam import download_phenocam, download_phenocam_greenness
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from clouds import detect_clouds
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from calculate_metrics import calculate_all_metrics
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def run_pipeline(season, site_position, site_name):
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"""Run pipeline from existing raw data (no downloads)."""
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try:
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# Download steps (skipped - use existing data in data/{site_name}/{season}/raw/)
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download_s2(season, site_position, site_name)
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# download_s3(season, site_position, site_name)
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# download_phenocam(season, site_position, site_name)
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# download_phenocam_greenness(season, site_position, site_name)
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print(f"Generating NDVI for raw data: {site_name}, {season}")
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#create_ndvi_timeseries_raw(season, site_position, site_name)
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print(f"Running EFAST fusion for all scenarios: {site_name}, {season}")
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run_all_efast_scenarios(season, site_position, site_name)
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print(f"Post-processing data: {site_name}, {season}")
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process_all_scenarios(season, site_position, site_name)
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print(f"Generating NDVI for final outputs: {site_name}, {season}")
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create_ndvi_timeseries_post_process(season, site_position, site_name)
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print(f"Generating GCC for final outputs: {site_name}, {season}")
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create_gcc_timeseries_post_process(season, site_position, site_name)
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print(f"Calculating metrics: {site_name}, {season}")
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calculate_all_metrics(season, site_name, site_position)
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except Exception as e:
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print(f"Error: {e}")
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raise
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if __name__ == "__main__":
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run_pipeline(2024, (47.116171, 11.320308), "innsbruck")
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