pantierra/efast-phenocam-validation
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

Foo

Browse source
This commit is contained in:
Felix Delattre 2026-03-04 18:50:29 +01:00
parent 915dfd8510
commit a037e6b4fd
12 changed files with 1237 additions and 96 deletions
Download patch file Download diff file Expand all files Collapse all files

48
metrics_indices.py
View file

@ -76,7 +76,7 @@ def _create_timeseries_for_dir(input_dir, output_dir, site_position, source_name
continue
filename = input_file.name
parts = filename.replace(".geotiff", "").split("_")
parts = filename.replace(".geotiff", "").replace(".tif", "").split("_")
date_str = None
for part in parts:
@ -316,7 +316,7 @@ def _create_gcc_timeseries_for_dir(input_dir, output_dir, site_position, source_
continue
filename = input_file.name
parts = filename.replace(".geotiff", "").split("_")
parts = filename.replace(".geotiff", "").replace(".tif", "").split("_")
date_str = None
for part in parts:
@ -440,12 +440,15 @@ def _get_bands_from_original(input_file, site_position):
return None
def _create_s2_bands_timeseries_for_dir(input_dir, output_dir, site_position):
print(f"[S2-BANDS] Creating timeseries.json...")
def _create_bands_timeseries_for_dir(input_dir, output_dir, site_position, source_name, pattern="*.geotiff"):
print(f"[BANDS-{source_name}] Creating timeseries.json...")
timeseries = []
for f in sorted(input_dir.glob("*.geotiff")):
date_str = f.stem.split("_")[0]
if len(date_str) != 8 or not date_str.isdigit():
for f in sorted(input_dir.glob(pattern)):
if "DIST_CLOUD" in f.name:
continue
parts = f.name.replace(".geotiff", "").replace(".tif", "").split("_")
date_str = next((p for p in parts if len(p) == 8 and p.isdigit()), None)
if not date_str:
continue
date = datetime.strptime(date_str, "%Y%m%d").isoformat()
bands = _get_bands_from_original(f, site_position)
@ -453,14 +456,33 @@ def _create_s2_bands_timeseries_for_dir(input_dir, output_dir, site_position):
timeseries.sort(key=lambda x: x["date"])
output_dir.mkdir(parents=True, exist_ok=True)
(output_dir / "timeseries.json").write_text(json.dumps(timeseries, indent=2))
print(f"[S2-BANDS] Saved: {output_dir / 'timeseries.json'} ({len(timeseries)} entries)")
print(f"[BANDS-{source_name}] Saved: {output_dir / 'timeseries.json'} ({len(timeseries)} entries)")
def create_s2_bands_timeseries_post_process(season, site_position, site_name):
def create_prepared_fusion_timeseries(season, site_position, site_name):
"""Generate NDVI, GCC, and band timeseries for prepared S2/S3 and fusion outputs."""
for strategy in ["aggressive", "nonaggressive"]:
base = Path(f"data/{site_name}/{season}/prepared_{strategy}")
for source in ["s2", "s3"]:
inp = base / source
if inp.exists():
_create_timeseries_for_dir(inp, base / "ndvi" / source, site_position, f"PREPARED-{source.upper()}-{strategy}", "*.tif")
_create_gcc_timeseries_for_dir(inp, base / "gcc" / source, site_position, f"PREPARED-{source.upper()}-{strategy}", "*.tif")
_create_bands_timeseries_for_dir(inp, base / "bands" / source, site_position, f"PREPARED-{source.upper()}-{strategy}", "*.tif")
for sig, fusion_sub in [(None, "fusion"), (30, "fusion_sigma30")]:
inp = base / fusion_sub
if inp.exists():
_create_timeseries_for_dir(inp, base / "ndvi" / fusion_sub, site_position, f"FUSION-{strategy}-σ{sig or 20}", "*.tif")
_create_gcc_timeseries_for_dir(inp, base / "gcc" / fusion_sub, site_position, f"FUSION-{strategy}-σ{sig or 20}", "*.tif")
_create_bands_timeseries_for_dir(inp, base / "bands" / fusion_sub, site_position, f"FUSION-{strategy}-σ{sig or 20}", "*.tif")
def create_bands_timeseries_post_process(season, site_position, site_name):
for strategy in ["aggressive", "nonaggressive"]:
for sigma in [20, 30]:
processed_dir = f"processed_{strategy}_sigma{sigma}"
input_dir = Path(f"data/{site_name}/{season}/{processed_dir}/s2/")
output_dir = Path(f"data/{site_name}/{season}/{processed_dir}/s2_bands/")
if input_dir.exists():
_create_s2_bands_timeseries_for_dir(input_dir, output_dir, site_position)
base = Path(f"data/{site_name}/{season}/{processed_dir}")
for source in ["s2", "s3", "fusion"]:
inp, out = base / source, base / "bands" / source
if inp.exists():
_create_bands_timeseries_for_dir(inp, out, site_position, f"POST-{source.upper()}-{strategy}-σ{sigma}", "*.geotiff")