Are you a young surveyor and always wondered what the digital frontier of the profession looked like? Are you mid career but developed foundation skills but have not yet ventured into the digital data part of the discipline? Are you a seasoned professional who loves to see what amazing things you can do with the tools and technologies of the 21st century?
If you answered yes to any of those questions then this is a webinar you won’t want to miss!
Michael Finlay is a Geospatial Engineer who specialises in 3D laser scanning and point cloud technologies. He is an early career professional who has been working at Jacobs for 8 years and is passionate about all things 3D laser scanning, especially mobile laser scanning (MLS). Michael is a trail blazer in developing the digital data team and discipline at Jacobs as not only a real value add, efficiency but product and service enricher for the surveying team. He gets involved with the planning, scanning, processing, adjusting, classifying, extracting, automation, analysis, visualisation and supports the interfaces of surveying and digital engineering and GIS environments for stakeholders from a broad variety of disciplines.
Check out Michael’s profile to see some of the amazing projects he has been involved in and how he champions this modern digital space for surveying and geospatial engineers.
Registration
By registering below, you receive access to the watch the webinar live OR if you can’t watch it live, you receive the link to the recording 24 hours after the event date. You can then watch the recording at your leisure.
CPD
This event is worth one SSSI CPD Point. BOSSI points to be confirmed.
Note, only the individual registered for the event is entitled to receive the associated CPD points.
Contact
Katie Le Miere, National Events Manager
katie.lemiere@sssi.org.au
During 2020 an expert group drafted the SPACE+SPATIAL Industry Growth Roadmap 2030 – a national snapshot for Australian professionals to better understand the bold new future that’s rapidly approaching and what it means for them, their careers, their organisations and all of Australia.
The National Steering Committee is seeking feedback on the Roadmap from spatial professionals of all levels across the country. There are a number of ways to get involved, one of which is to participate in this SSSI and SIBA|GITA SPACE+SPATIAL Roadmap Online Session.
You will hear about the key plans, activities and issues and have the opportunity to have a meaningful discussion with colleagues about your thoughts on the Roadmap Consultation Paper and the topic in general.
After a very successful GeoBuiz Europe Summit in 2022, the summit, in its 2023 edition, will facilitate interactions, market engagement, and collaborations among the leaders representing the space infrastructure and geospatial value chain.
The discussions at the summit will highlight the market trends and innovation directions for co-developing an agile and long-withstanding business ecosystem.
Hosted by Eric Andelin CP, Senior Workflow Specialist with guest speaker Michael O’Sullivan, VP Sales, SimActive Inc.
It is often challenging for new entrants into the aerial imagery and mapping service profession to determine cost savings when it comes to their processing software solution. Smaller sensors, altitude restrictions, line of sight requirements and overall flight duration create unique challenges for drone operators. Medium and large format sensors acquire much larger areas, but require a much larger investment, or the ability to subcontract out the acquisition. Mapping expenses tend to increase as projects become larger. And using the wrong image processing software can exacerbate this, leading to narrowing project profits. This webinar will show how a higher-end software such as SimActive’s Correlator3D™ can reduce overall project costs. REGISTER HERE.
Specifically, attendees will learn about the following:
- Common challenges and impact on costs
- Cost variations as projects increase in size
- Workflows in Correlator3D to minimize man-hours
- Accelerating timelines with distributed processing
