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3 changed files with 10 additions and 4 deletions
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@ -100,6 +100,7 @@ def prepare_s2(season, site_position, site_name, cleaning_strategy="aggressive",
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temp_normalized = s2_output_dir / f"temp_{s2_file.name}"
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with rasterio.open(s2_file) as src:
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# S2 L2A: use DN/10000 (Earth Search AWS differs from ESA spec; offset caused many transparent pixels)
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data = src.read().astype("float32") / 10000.0
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profile = src.profile.copy()
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profile.update({"dtype": "float32", "nodata": 0})
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@ -31,8 +31,13 @@ def process_cropped(season, site_position, site_name, cleaning_strategy="aggress
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valid = ~np.isnan(data) & (data > 0.001)
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rows = np.any(valid, axis=(0, 2))
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cols = np.any(valid, axis=(0, 1))
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r0, r1 = np.where(rows)[0][[0, -1]]
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c0, c1 = np.where(cols)[0][[0, -1]]
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row_idx = np.where(rows)[0]
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col_idx = np.where(cols)[0]
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if len(row_idx) == 0 or len(col_idx) == 0:
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print(f"[PROCESS] Skipping {fusion_file.name} (no valid pixels)")
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continue
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r0, r1 = row_idx[0], row_idx[-1]
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c0, c1 = col_idx[0], col_idx[-1]
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w, h = c1 - c0 + 1, r1 - r0 + 1
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window = windows.Window(c0, r0, w, h)
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data_crop = src.read(window=window)
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4
run.py
4
run.py
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@ -19,12 +19,12 @@ 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_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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#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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