LiDAR feature recognition Using GIS

With 17 years’ experience in the GI sector, Envo-GEO (Environmental Geoinformatics) specialise in providing GIS, remote sensing and 3D environmental data modelling solutions to public, private and research clients throughout the United Kingdom and Ireland.

Project Name

LiDAR feature recognition product development

Project Outcomes

Development and testing of Envo-Geo LiDAR feature extraction algorithms using UK Environment Agency airborne LiDAR.

How Azimap was used to fulfil project requirements

Azimap provided Envo-Geo with the tools to evaluate the potential for dissemination and spatial analysis of LiDAR sample data.

Using Azimap Envo-Geo displayed multiple layers on a OSM base layer to visualise and analyse their spatial data. Layers contained spatial data to support the analysis of LiDAR (DSM) to measure green space and areas populated with large high rise and industrial units.

High rise and large industrial units were drawn on the map using the polygon tool, allowing administrators to accurately measure key areas in meter square or in hectares.

The published map toolbar has been configured to offer stakeholders with the opportunity to -

• data visualisation format products select to view polygon information
• zoom to street view
• place a buffer measuring the distance in kilometres or miles from any point
• generate and place the what3words name of any 3 x 3 meters’ square on the map

Data Visualisation Format Points

3D Vector Points

Benefits of Azimap

• ability to apply complex spatial queries on large data sets
• flexible plans. Azimap’s multiple plan options has enabled us to grow our plan with our business
• ability to import multiple file types without technical assistance (csv, spatial CSV, excel, KML or SHAPE)
• configurable toolbar
• multiple Base layer options including OSM, Stamen, Here, Google, Bing or other

For more information on Envo-Geo visit www.envogeo.ie, alternatively explore the reference map.