Topic category

• Elevation

Use limitation

General 

Classification

Unclassified  

Description

The LiDAR Point Cloud is classified into Ground and Non-Ground classes. Only points that are part of a clean ground surface, which might not be 100% of the ground hits are classed as Ground. Ground filtering algorithms, tailored for this project, data type and terrain type, were applied to the full dataset. The ground filtered dataset is then visually checked by an operator, and incorrectly classified data is corrected or the ground filtering algorithm is adjusted and then visually checked again. For the verification of the ground classification, intensity imagery is used as a backdrop image. Returns on water have been treated the same as returns on land, where the Ground filtering algorithms classify points as Ground or Non-Ground. Ground Class: This subset consists of every point that is part of the classified ground surface, intensity value info for every point is included. Non-Ground Class: Any LiDAR return, not classified as ground, but higher than ground (>30cm above ground), is classified as a Non-Ground return. These also have the intensity values included. Above ground datasets only start at 30cm above the classified ground surface, to avoid low grasses/system noise to become part of this above ground dataset. 

Classification

Unclassified  

Attribute Quality

Positional Accuracy

Conceptual Consistency

Comments

Consistent with specification 

Missing Data

Comments

No omission 

Excess Data

Platform Type

Aerial  

Assembly

Single  

Tile Size

1 km  

Scan Rate (Hz)

36Hz  

Footprint Size (m)

0.36000001m  

Point Density Actual (pts/m2)

4points/m2  

Ellipsoid Provided

0