AAM was engaged by DPIPWE to acquire LiDAR data over several coastal areas of Tasmania during March and April 2014. Bridport comprises approximately 12 km2.

This project consists of data that has been reprocessed by RPS and AAM for the purpose of creating an improved Victorian coastal DEM including contours based on the original data acquired in 2007. The purpose of this project is to reclassify the original level 2 classification LiDAR data into level 3 for input to a higher accuracy ICSM Level 3 classification (Level 3 DEM). LiDAR (Light Detection and Ranging) is an airborne remote sensing technique for rapid collection of terrain data. The sensor used for this LiDAR project collected XYZ and Intensity data for first and last return by bouncing a pulse from the aircraft to the surface that enables the height and intensity values to be calculated. From the raw LiDAR data, a suite of elevation products was generated including DEM and Contours. Project Products: DEM, Contours, raw LiDAR.

This job is part of the town capture program

This job is part of the town capture program

No abstract available

This job is part of the town capture program

This job was part of the Coastal capture program. It captures from the 10m contour interval to the coastline in the east. The northern boundary was based on where private sector data exist over Wollongong and has the job of Nowra on the southern boundary.

AAM was engaged by DPIPWE to acquire LiDAR data over several coastal areas of Tasmania during March and April 2014. Weymouth comprises approximately 14.84 km2

Ground XYZ Fugro Spatial Solutions Pty Ltd aim is to select those points that are part of a clean ground surface, which might not be 100% of the ground hits. This results in a cleaner dataset, without compromising on terrain detail and accuracy. Ground filtering algorithms, tailored for this project, data type and terrain type, are 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. For the verification of the ground classifications, intensity imagery is used as a backdrop image.

No abstract available