pantierra/efast-phenocam-validation
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four scenarios.

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This commit is contained in:
Felix Delattre 2026-02-08 20:59:34 +01:00
parent 46df3be8e7
commit 903bdc2598
6 changed files with 136 additions and 83 deletions
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12
clouds.py
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@ -3,14 +3,14 @@ from pathlib import Path
from datetime import datetime
WINDOW_DAYS = 14
NDVI_THRESHOLD = 0.3
NDVI_DELTA = 0.15
MIN_WINDOW_SIZE = 3
THRESHOLDS = {"aggressive": {"threshold": 0.3, "delta": 0.15}, "nonaggressive": {"threshold": 0.2, "delta": 0.25}}
def detect_clouds(season, site_name):
output_file = Path(f"data/{site_name}/{season}/clouds.json")
def detect_clouds(season, site_name, cleaning_strategy="aggressive"):
output_file = Path(f"data/{site_name}/{season}/clouds_{cleaning_strategy}.json")
clouds = {"s2": [], "s3": []}
thresholds = THRESHOLDS[cleaning_strategy]
for source in ["s2", "s3"]:
timeseries_file = Path(
@ -47,9 +47,9 @@ def detect_clouds(season, site_name):
continue
max_ndvi = max(window_ndvi)
threshold = max_ndvi - NDVI_DELTA
threshold = max_ndvi - thresholds["delta"]
if entry["ndvi"] < threshold and entry["ndvi"] < NDVI_THRESHOLD:
if entry["ndvi"] < threshold and entry["ndvi"] < thresholds["threshold"]:
clouds[source].append(entry["filename"])
print(