Datasets:
File size: 5,067 Bytes
0a7933d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 | from pathlib import Path
import zipfile
from tqdm import tqdm
import json
import pdal
import time
#======================================================
#%%
KEY_ID = "IRN_JJ"
dirlaz = Path("/home/sabrina/Documents/Datasets/IRN_JJ")
OUT_RESOLUTION = 1.5
#======================================================
#%%
dirdem = Path(dirlaz, "dem")
dirdem.mkdir(exist_ok=True, parents=True)
filelaz = list(dirlaz.glob("*.laz"))
print(f"Found {len(filelaz)} LAZ files.")
#======================================================
def laz_to_dem(key_id, input_laz: Path, output_tif: Path, resolution=1.0):
"""
Convert a single LAZ file to DEM using PDAL.
"""
if key_id == "KAZ-AC" :
pipeline = [ # PLEIADES DATA DO NOT USE SIMPLE MORPHOLOGICAL FILTER (SMRF)
{
"type": "readers.las",
"filename": str(input_laz),
"spatialreference": "EPSG:32643"
},
{
"type": "writers.gdal",
"filename": str(output_tif),
"resolution": resolution,
"output_type": "max",
"data_type": "float32",
"nodata": -9999,
"gdalopts": "COMPRESS=DEFLATE|TILED=YES"
}
]
elif key_id == 'BRA-SP':
pipeline = [ # AIRBORNE DATA USE SMRF
{
"type": "readers.las",
"filename": str(input_laz)
},
{
"type": "filters.smrf",
"scalar": 1.25,
"slope": 0.15,
"threshold": 0.5,
"window": 16.0
},
{
"type": "writers.gdal",
"filename": str(output_tif),
"resolution": resolution,
"output_type": "max", # highest surface elevation per pixel
"data_type": "float32",
"nodata": -9999
}
]
elif key_id == 'CHN-YG':
pipeline = [
{
"type": "readers.las",
"filename": str(input_laz),
},
{
"type": "filters.range",
"limits": "Classification![7:7]"
},
{
"type": "filters.outlier",
# Optional: SfM point clouds often contain isolated spurious points
# above/below the surface that are not flagged as Class 7.
# This applies a statistical filter (radius 1.0 m, 6 neighbours).
"method": "statistical",
"mean_k": 6,
"multiplier": 2.0
},
{
"type": "writers.gdal",
"filename": str(output_tif),
"resolution": resolution,
"output_type": "max", # DSM: highest point per cell
"data_type": "float32",
"nodata": -9999,
"gdalopts": "COMPRESS=DEFLATE|TILED=YES|BIGTIFF=YES",
"override_srs": "EPSG:32648"
}
]
elif key_id == 'IRN_JJ':
pipeline = [
{
"type": "readers.las",
"filename": str(input_laz),
},
{
"type": "filters.assign",
# The metadata shows Class 0 only (Created, never classified).
# No noise class exists, so we skip filters.range.
# This filter is a no-op placeholder for clarity.
"assignment": "Classification[:]=0"
},
{
"type": "filters.outlier",
"method": "statistical",
"mean_k": 6,
"multiplier": 2.0
},
{
"type": "writers.gdal",
"filename": str(output_tif),
"resolution": resolution,
"output_type": "max", # DSM: highest point per cell
"data_type": "float32",
"nodata": -9999,
"gdalopts": "COMPRESS=DEFLATE|TILED=YES|BIGTIFF=YES",
}
]
else:
print("Worng key id")
quit
p = pdal.Pipeline(json.dumps(pipeline))
p.execute()
#======================================================
def batch_laz_to_dem(input_dir, output_dir, key_id, resolution=1.0):
input_dir = Path(input_dir)
output_dir = Path(output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
laz_files = list(input_dir.glob("*.laz")) + list(input_dir.glob("*.las"))
for laz in tqdm(laz_files):
out_tif = output_dir / f"{laz.stem}.tif"
if Path(out_tif).exists == True:
print("File exists")
continue
else:
print(f"Processing: {laz.name}")
try:
laz_to_dem(input_laz=laz, output_tif= out_tif, resolution=resolution, key_id= key_id)
except Exception as e:
print(f"Error processing {laz.name}: {e}")
#======================================================
batch_laz_to_dem(input_dir = dirlaz,
output_dir = dirdem,
key_id = KEY_ID,
resolution = OUT_RESOLUTION)
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