pantierra/efast-phenocam-validation
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refactored download and preselection.

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This commit is contained in:
Felix Delattre 2026-02-21 00:09:34 +01:00
parent 3919b8e871
commit ac0e687956
8 changed files with 206 additions and 164 deletions
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26
acquisition_phenocam.py
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@ -44,6 +44,12 @@ def _find_start_offset(site_name, start_dt, total_count):
def download_phenocam(season, site_position, site_name, date_range=None):
"""Wrapper that downloads both phenocam images and GCC time series."""
_download_phenocam_images(season, site_position, site_name, date_range)
_download_phenocam_gcc(season, site_position, site_name, date_range)
def _download_phenocam_images(season, site_position, site_name, date_range=None):
lat, lon = site_position
datetime_range = date_range or f"{season}-01-01/{season}-12-31"
output_dir = Path(f"data/{site_name}/{season}/raw/phenocam/")
@ -149,10 +155,10 @@ def download_phenocam(season, site_position, site_name, date_range=None):
print("[PhenoCam] Completed")
def download_phenocam_greenness(season, site_position, site_name, date_range=None):
"""Fetch greenness-index time series from PhenoCam API."""
def _download_phenocam_gcc(season, site_position, site_name, date_range=None):
"""Fetch greenness-index time series from PhenoCam API. Saves JSON and CSV."""
datetime_range = date_range or f"{season}-01-01/{season}-12-31"
output_file = Path(f"data/{site_name}/{season}/raw/phenocam/timeseries.json")
output_file = Path(f"data/{site_name}/{season}/raw/phenocam/phenocam_gcc.json")
output_file.parent.mkdir(parents=True, exist_ok=True)
start_date, end_date = datetime_range.split("/")
@ -210,7 +216,17 @@ def download_phenocam_greenness(season, site_position, site_name, date_range=Non
return
timeseries.sort(key=lambda x: x["date"])
with open(output_file, "w") as f:
output_dir = output_file.parent
json_path = output_dir / "phenocam_gcc.json"
csv_path = output_dir / "phenocam_gcc.csv"
with open(json_path, "w") as f:
json.dump(timeseries, f, indent=2)
print(f"[PhenoCam-GI] Saved: {output_file} ({len(timeseries)} entries)")
with open(csv_path, "w", newline="") as f:
writer = csv.DictWriter(f, fieldnames=["date", "greenness_index"])
writer.writeheader()
writer.writerows(timeseries)
print(f"[PhenoCam-GI] Saved: {json_path} and {csv_path} ({len(timeseries)} entries)")