34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
from efast import run_efast, prepare_s2, prepare_s3
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from ndvi import generate_ndvi_fusion, create_ndvi_timeseries_fusion
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year = 2024
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site_position = (47.116171, 11.320308)
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site_name = "innsbruck"
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# print(f"Downloading data for {site_name}, {year}")
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# download_s2(year, site_position, site_name)
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# download_s3(year, site_position, site_name)
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# print("All downloads completed")
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# print(f"Generating NDVI for {site_name}, {year}")
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# generate_ndvi(year, site_position, site_name)
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# create_ndvi_timeseries(year, site_position, site_name)
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# print("All NDVI generation completed")
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# print(f"Detecting clouds for {site_name}, {year}")
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# detect_clouds(year, site_name)
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# print("Cloud detection completed")
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# print(f"Preparing data for EFAST fusion for {site_name}, {year}")
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# prepare_s2(year, site_position, site_name)
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# prepare_s3(year, site_position, site_name)
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# print("Data preparation completed")
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# print(f"Running EFAST fusion for {site_name}, {year}")
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# run_efast(year, site_position, site_name)
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# print("EFAST fusion completed")
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print(f"Generating NDVI for fusion outputs: {site_name}, {year}")
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generate_ndvi_fusion(year, site_position, site_name)
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create_ndvi_timeseries_fusion(year, site_position, site_name)
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print("Fusion NDVI generation completed")
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