Brent Jones, Esri surveying and engineering manager, talks about building accuracy into all our workflows and how to gather the most recent and accurate data.
00:01 Well I'm here to talk about something not quite so glamorous and it's not sunshine. Accuracy.
00:06 And accuracy is important and that's why you need volunteered geographic information.
00:13 Doesn't sound quite right, does it?
00:14 What's a surveyor doing talking about accuracy and a bunch of guys running around with cell phones collecting information?
00:20 Well if we believe the currency and correctness and completeness are forms of accuracy, then we all need VGI.
00:26 We need accurate information to get the efficiencies out of our systems.
00:31 We need accuracies to expand the uses.
00:33 And we need accuracy just to get the right answer.
00:36 So accuracy is improving at a rapid rate in all forms of data.
00:41 So let's look at a parallel.
00:45 How accurate is this?
00:46 Eons ago you want to meet for a beer at 3:00.
00:49 This is what we had.
00:50 Good to about 20 minutes on a sunny day and in the daytime.
00:56 And not everybody had one.
00:58 So we put them on the walls of public buildings and churches, so it kind of brought us together little bit as a community.
01:02 We're beginning to synchronize and get some efficiencies from time.
01:06 And as technology progressed, we built pendulum clocks.
01:09 Want to meet for 3:00 at the community pub?
01:12 No problem.
01:13 Good 24/7.
01:14 Even multimedia, had chimes, right?
01:16 So we really gained a lot of efficiencies through this synchronization.
01:22 And we could even meet after dark, right, because it worked after dark.
01:27 At this same time, for a couple centuries from about 1500 to 1750...
01:31 ...the Europeans were crashing ships into the east coast of the Americas, and they were losing thousands of ships.
01:37 They couldn't calculate longitude.
01:39 Actually, Sir Isaac Newton thought that longitude was not a calculable thing, it's a function of time.
01:46 But pendulum clocks were fixed.
01:48 The most important invention at the time was the Harrison clock.
01:51 This is the H4 that's revolutionized navigation.
01:54 It revolutionized time.
01:55 It allowed us to take time from being fixed and we could...it was now portable.
02:00 This actually ended up becoming wristwatch and all kinds of things.
02:02 Technology was going from a pendulum to a clock spring.
02:06 Huge change.
02:10 The next change is the Casio watch.
02:14 This is when we went from a mechanical device to a digital device.
02:19 It's hard to think about any piece of electronics right now without a clock on it.
02:24 It's just a little chip.
02:25 It's just a little piece of electronics, faster, cheaper, better, smarter.
02:28 Just the whole way electronics goes.
02:32 GPS is the Casio watch of positioning.
02:36 Right now, we can do subcentimeter worldwide in real time.
02:41 Devices are getting smaller.
02:42 They're getting cheaper.
02:43 They're getting easier to use.
02:45 We're attaching GPS to everything.
02:48 It's in our phones of course.
02:50 Nokia owns all the patents to make our phones good to 10 cm.
02:56 What happens when the accuracy of the phone is better than your basemap?
03:02 What happens when everybody's phone is better than your basemap?
03:06 What do we do?
03:07 We can't remap.
03:09 It's too expensive and we don't have the time.
03:12 So what do we do?
03:14 We need to build incremental improvement of accuracy into our daily workflows...
03:19 ...and using all different types of data, lidar, imagery, even volunteered geographic information.
03:25 So let's take a look at an example.
03:28 County does a new ortho project, 6-inch positional accuracy, 3-inch pixels.
03:32 Pretty good stuff.
03:34 Parcels don't overlay.
03:35 We're not going to go remap the parcels.
03:37 But we can harvest the measurements from those parcels and build a measurement network...
03:41 ...to improve the parcels and synchronize them with the orthos.
03:46 We can actually take the information from that synchronization and use that to control the accuracies of other features in GIS.
03:53 We have time/date stamps and we have feature-level metadata.
03:57 So we have a lot of tools in the toolbox to build these workflows to keep ahead of the improving accuracy.
04:06 Alright, now let's look at another example here, everybody's favorite, sewer manhole.
04:11 Who has the most accurate information on this manhole?
04:16 Well the engineer has the rim to about a hundredth of a foot which is about an eighth of an inch...
04:19 ...so you don't go thump, thump when you drive over it.
04:22 He also has the inverts or the flow lines so things flow the appropriate direction.
04:27 Now the public works director has a mapping location, and he's got inspection reports, and he's got construction specifications...
04:34 ...he's got all kinds of information on this manhole.
04:38 But who really has the most accurate information on this manhole?
04:41 The manhole cover was stolen.
04:45 This is a hazard, it's a liability, and it needs to be fixed immediately.
04:51 Guy walks out his front door, picks up the newspaper, and takes a picture with his GPS phone.
04:58 Who has the most accurate information on that manhole?
05:03 So as GIS professionals, we need to think about aggregating all types of data together...
05:08 ...and we need to think about our workflows to increase to our daily work the accuracy of our data.
05:16 It's not authoritative data versus volunteered geographic information...
05:20 ...it's authoritative data and volunteered geographic information.
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