LiDAR terrain surface and point cloud cross sections before and after ground editing

LiDAR & 3DIndiana

POINT CLOUD / INDIANA

More than 120 square miles of point cloud data were cleaned to remove terrain artifacts, pits, and voids.

MISSION PROFILE08 / 08

01 / OPERATIONAL BRIEF

THE
OBJECTIVE.

Correct ground-classification errors that created visible artifacts, pits, and voids in derived terrain products.

CONSTRAINTS

100+ LiDAR tiles
More than 120 square miles
Fine-grained manual quality control

SOURCE STACK

Manned-aircraft LiDAR
Current reference imagery
Derived terrain surfaces

02 / ANALYTICAL METHOD

Locate anomalies in terrain surfaces

Review points in profile and plan view

Reclassify ground points in MicroStation and TerraModeler

03 / MISSION OUTCOMES

WHAT
CHANGED.

Reviewable intelligence built for the next decision, not the final presentation.

Ground artifacts removed

Terrain continuity restored

Quality-controlled tiles returned for downstream products

THE NEXT COORDINATE

START WITH
THE MISSION.

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