Land Development is another great example. We recently deployed our system to capture the as-built condition of a business and technology center in Chesapeake, VA. The center is relatively new, so there are still a number of vacant parcels that have yet to be developed. Scanning the entire complex took about an hour; but from that single collection, the developers not only obtain an accurate as-built of the site, but can also re-use the data to:
- Develop land-use classification models;
- Create animated fly through’s or 3D renderings to entice prospective tenants;
- Quickly assemble to-scale 3D architectural renderings for the design/review process; or
- Analyze and assess the enforcement of local codes/ordinances relating to sight-lines or green space.
The fascinating part is these were just the first things that came to mind. I think our motto sums it up pretty well. Unlimited Data…Infinite Possibilities!
Cheers!
Jonathan
Jonathan Soulen is GIT Operations Manager for our Virginia Beach, VA office. He and other managers within Baker's GIT Service Area will be providing guest postings over the coming weeks.
Interesting you mention land-use. I was just wondering earlier in the week if this could be used for wetland delineation. Access might be the tricky part, but from there perhaps the digital photos together with intensity of the laser returns would be enough to classify the vegetation?
ReplyDeleteMark: I wouldn't think the system could be used for a formal wetland delineation - which requires an analysis of hydric soils, vegetation types and topography (depending on if its a USACE delineation or other agency). I do like how you're thinking though. Besides intensity and images, I'm curious if density of returns could be used in classification - broad leafy trees versus conifers, height of vegetation... The key limitation may actually be the penetration we get into the vegetation.
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