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This is not yet present in AHN2 but we should figure out how to get this data from AHN3 though. We should find the correct column name in AHN3 for this.
Example code:
from laserchicken import read_las
pc = read_las.read("D:/GitHub/eEcoLiDAR/eEcoLiDAR/testdata/AHN2.las")
print(pc)
Result (the attributes highlighted with bold):
{'vertex': {'gps_time': {'type': 'float64', 'data': array([ 0., 0., 0., ..., 0., 0., 0.])}, 'x': {'type': 'float64', 'data': array([ 243735.30125, 243735.11125, 243734.84125, ..., 243579.19125,
243579.09125, 243578.83125])}, 'z': {'type': 'float64', 'data': array([ 0.58999997, 0.63999997, 0.58999997, ..., 0.55999997,
0.53999997, 0.54999997])}, 'raw_classification': {'type': 'uint8', 'data': array([2, 1, 2, ..., 1, 2, 2], dtype=uint8)}, 'intensity': {'type': 'uint16', 'data': array([0, 0, 0, ..., 0, 0, 0], dtype=uint16)}, 'y': {'type': 'float64', 'data': array([ 572058.56, 572058.81, 572058.56, ..., 572132.69, 572132.75,
572132.94])}}}
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