HD-LiDAR Design-Scale Ready

good morning to everyone online I am Janelle McCoy with the mid-atlantic geospatial user group and I like to welcome you to the webinar entitled HD lidar design scale ready thank you for being with us today just a little housekeeping before we start everybody is on mute and you should be able to hear quite well if you are having any trouble please raise your hand and we'll try to take care of it please note that the webinar is being recorded and will be available at the mag tug that wordpress com website and on that Cubs new YouTube channel shortly after today's live blog crust excuse me please visit our website for more juice a mid-atlantic geospatial and transportation related events coming up in 2017 both in-person and virtual events are continuously added so please check back often and add your email address to our announcement lip service to receive reminders of upcoming events and other to use racial goodness also be sure to follow us on twitter under the handle at ma gtug mag doug's if you're interested in making suggestions for future information exchange events we invite you to attend the the next short mag Doug steering committee teleconference on Tuesday April 25th at 10am for details about how to join the teleconference visit the about us web page on our website and scroll down to the steering committee section as an all-volunteer organization mag tug would like to offer all our attendees the opportunity to be part of the virtual information exchange webinar series like this one if you use the geospatial application that you feel transportation profession may benefit from adding to their toolbox or you would like to share a success in using geospatial technology or reasoning to support a transportation project we would like to hear from you please email a short description of your webinar to mid-atlantic GIS p @ gmail.com to be considered for future 30 to 45 minute virtual event one last thing I would like to take a few extra moments to thank Meg Doug sponsor autodesk and our host for today's webinar autodesk make software for people who make things Eric Chappelle from Autodesk is our co-host today and eric is also a mag Doug steering committee member all right would you like to say anything to our audience I'd love to first of all I just want to thank you Janelle and thank mag took for letting auto dust be a part of a part of the group and giving us the opportunity to host events like this one I realized that you know autodesk isn't necessarily at the top of everyone's mind when it comes to geospatial so i just wanted to give everyone kind of an overview of some of the products that we have that some of the folks on this call might care about a little bit about the company though you are our tagline is make anything and we really have a broad portfolio of many many different types of products you can generalize it by saying we make software for people who make things whether it's a car a skyscraper a map a highway you know we have the tools to to assist you in in doing those things we're a rather large company 5.4 million users and this slide is probably a bit out of date from where we are now two hundred million consumer users 680 million students and educators who have access to the software there's some of our financial numbers two and a half billion dollar company the number of subscriptions we have to our software I'm one of the nearly 9,000 employees that the company has worldwide as I mentioned we have lots and lots of products you may be surprised to know that we have some geospatial oriented products as well map 3d is our authoring tool used to create create Maps create GIS information on an AutoCAD platform which is kind of a benefit in itself because so many people are familiar with that platform and then we've got infrastructure map server which can take that GIS data and other GIS data and serve it up for folks to consume in a various various numbers of ways we have recap which kind of plugs into the topic for today this this product is for consuming utilizing modifying analyzing reality capture data including lidar as well as photo capture data drones are exploding all over the planet exploding I mean in popularity not literally and you know the ability to take several hundred photos and stitch them together into a mesh or a point cloud that's something that recap can do and then when you get into design we've got two products that we that we talked about one is infraworks this is a fairly new product for us it's it operates in a very visual three-dimensional environment it can consume and aggregate many types of GIS data and then use that as a backdrop or a canvas to do engineering design like you see the highway design in the bottom left image and then from there when you want to do detailed documentation and detailed design and documentation you move into our flagship civil engineering product which is autocad civil 3d also based on an AutoCAD platform which has been around for I think we just celebrated the 35th anniversary of AutoCAD so a product's been around for a long time I'm going to very quick quickly scroll through some projects to see to show you some of the things our customers have done with our products and this is just you know our geospatial and engineering products that relate to transportation civil engineering and you can see that there there's just a myriad of applications for our for our products and we've got lots of different types of customers that utilize them to do lots of different types of projects so one of the probably the biggest advantage we bring to the table because of our size is the fact that if you can imagine it we've got a tool that will do it for you whether it's mapping or design or visualization or analysis whether it uses the cloud or your desktop or both you know we've pretty much got anything you can imagine or we partner with somebody who does have what you're imagining if you're not familiar with Autodesk and you want to get familiar with one of our products i highly recommend this one in four works this is the next an exciting new product that we you know it's been around for a few years now but it's it's just an amazingly fun and interesting product to use and I know it relates to you folks because it's it's GIS and transportation related so I think you'll find things that it does that you'll you'll find very interesting so with that I'm going to turn it back over to Janelle okay thank you very much Eric I didn't mean to bring in there sorry sister come as always we ask you to participate not you Eric but the audience to participate in today's webinar by trying to by typing questions that spring to mind throughout the webinar into the question box at the bottom right of the WebEx window I or Eric will read back your questions at the end of the webinar so that everyone has the opportunity to hear the answers and better understand this great tool and now it is my pleasure to introduce build their dairy of access do spatial LLC bill manages business development and is the director of surveyed technologies for access at their home based in east and now and he brings many years of use spatial industry experience to access overseeing large multi-year transportation projects consists of nose photogrammetry remote sensing gianna actual and other fastening Sciences in addition to too many design skill mapping projects utilizing HD lidar technology access to use spatial provides surveying and mapping solutions for civil engineering and GIS applications to a long list of private architecture and engineering firms as well as Maryland Delaware New Jersey Pennsylvania and New York government agencies and the US Army Corps of Engineers and the US Geological Survey access is proud to call mid the mid-atlantic at home bill will be walking us through how the latest aerial high-definition high-density light our sensors dual equipped with color aerial cameras are redefining the technological the technical approach to surveying and mapping for design scale support of transportation products fill the virtual for is yours okay thank you very much this presentation is about exploring how light are can improve your face mapping and surveying data sets for transportation engineering go ahead basically we will be looking at I got what we call high definition high densities light are acquired from a plane which has a cool head Center takes photographs and collects laser data returned from the ground we believe this is a very home featured strong data set that can be used of basically the limit of it are your own imagination because like any type of light are you collect a tremendous amount of data and in your arm base map or the data that's in it is basically you attract as you need it and that's one of the real key still exploring the data set as we go through this presentation you can type question into the box and we will address them at the end and if you have any comments or questions please please put them in there a little bit about me on the license of air in a number of states and my title is director of certain technologies I oversee the operation and data testing of the glider center as well as conventional and they are surveying on the ground in its normal offices in code based in Maryland and New Castle Delaware and also in New Jersey any Colorado good area we have a whole team partnership going on here we use SPR s certified pro two managers licensure errors like myself and GIS professionals to oversee data we work for a large number of federal state and local governments architecture and engineering firms transportation organizations universities and public utilities axis itself has been around since 2001 and is only an operator by jump and laymen and date work with our certified photogrammetry go that area it would it start off with a poll question right up the back region crawling light on sources have new huge for transportation projects your options are Ariel mobile phone in amatory were land which would be low altitude helicopter driven type data question or terrestrial were static scanning versus mobile mapping Greeks bill are you able to see the results as they come in a not seeing if you expand your polls panel I believe you'll be able to see them but currently we're at eighty-two percent Ariel seven percent mobile four percent photogrammetry and six percent terrestrial it went both green on me oh yeah I'm not here to come in so okay well as their whole screen went full screen I so thank you it that should be about enough time I think we've got the the overall 75% of done Oracle eight percent have done mobile five percent photogrammetry lamps and even has terrestrial so i'll try that lower the terrestrial okay go back okay access of course can deal with any of those other types of data collection but all primary interest and the reason to this this presentation is really to help people come to understand how your mapping airborne lidar and everyone predator amatory combined into a single data collection swap can really benefit end-users we typically collect point cloud data over a site depending on which has to reuse it anywhere from eight to more than 20 points per square meter in a single path our typical mapping altitude that's about a sixteen hundred foot wide swath and if you will pass we get very very good vertical accuracy now to this data averaging about eight hundreds of a foot which is equivalent to an inch to about five hundreds of a foot which is slightly more than half an inch on hard surfaces and one of the most unique things about this type of data collection is that the entire landscape is captured and measured and it helped in chemistry and the light ultimate level areas of no data return are basically water absorbs of the integrand lineart where you see in the imagery but there's no returns from water except for some shimmer some pods from from wind the wind blowing the water in causing a circus there are causing reflections and also the most of our boys are under bridges and the Indian thing about that is that somewhere that you would probably want to collect very very high density heretical lidar data anyway if you're looking into the structural components of a bridge or something like that you're going to you're going to want to beat them up at a much higher density than you could ever get out of an airplane you know hundreds and hundreds of points per meter or the real benefit here the airborne lidar significantly reduces schedules and response times including nurses boundaries survey requirements and it achieves a lot of detail that is just not attainable because of the density of the measurements the surface it's unbelievable and you're not having surveyors collecting completely unreasonable amount of data that just if you think about what 20 points per square meter is on the ground um no nobody ever would want a surveyor to get 20 shots per square meter round on the sirloins up go ahead Erika we deploy a two different line our sensors depending on the needs one of the trouble header is 68 I which is a single line our sensor and single 16 megapixel camera collects data at the same time with each other it's a single single note acquisition system and then we also have the Regal 5050 we had 22 by our sensors in it which was the same speed as single why our sensor in the terminal area and it has a camera that has twice the megapixel resolution we are little to getting several pixels across pink stripes in a parking lot discount instead of approximately 1 pixel sometimes on a trucks they are otherwise pretty identical each other they use regal liner centers which is rotating out of the home beer they have a different collection pattern with the lighter sensors but they collect the same width of swap and they use the same plan Ock's I am you and GPS to track where the plane and of course whether it be light our sensors are the camera but air them regal 15 technique which is the dual channel two-headed let our system has two systems and they are already added at a 28 degree angle to each other which gives them the capability to do a ultimate pattern in the collected data and it's a full double footprint on top of each other and because of the angle of the that these laser sensors our angled from each other it actually starts to have an effective painting forward and aft of the quite half of the plane so you're starting to illuminate vertical services such as buildings and things like that with the lidar data looking straight down at it go ahead Erika we're on I'm give you a brief overview of the differences in the two types of of mirror that are used in yr sensors other basically to one is an oscillating mirror type and the system is used in the regal which we use is a rotating polygon and they have distinct differences in benefits from each other oh the oscillating mirror is actually a single plane where that is rotating back and forth it does not go full revolution but it basically the pivots and it steers the white our beam at the ground and as the the mirror near at the end of its movement in one direction that asked to slow down stop and then accelerate that in the other direction the effect of this is that you have a zigzag pattern on the ground and wildly varying densities of laser hits on the ground of the laser just fires continuously and the speed of the mirror actually affects how many later hips and where reach the ground and the pattern underneath the VA can back up later on the on the left side you can see that there are there are spaced apart laser hits on the ground and at the end of the oscillations you see they become more dense because the mirror slowing down on the right size order to be a rotating polygon mirror you have a constantly firing laser at the same speed and you have a a polygon mirror that basically spins at a set rpm and yields no acceleration problems no slowdown no acceleration back and you get a geometrically controllable programmable very rigidly set pattern of limitation on the ground with the laser we actually can set the left and right back and forth grid pattern in the sensor and get that back the very little variation that Erica now here's the effect of this kind of data the in the left image the red and red laser heads that you see on the ends of oscillation of an a or an oscillating mirror system and we actually work in the same area with our Center and collected the green pattern of dots which can consider a much more consistent pattern the viewpoint of this shows some distortion it but it's the green laser dots it if we would look right down one of the scan lines and they're absolutely straight whereas there's as you can see there's on the right side of the left image you can see that the laser hits the red laser hits are scattered apart and as you hear the and you're looking at at the altitude this data was collected between five and six feet at the ends of these oscillations verse is a grid pattern that we were collecting for the record of Engineers it was much more regular what was most alarming about this data is is the oscillating near data the regulated in matlab image the pelham is publicly available on the internet or anybody to download mute and probably the metadata stated that it was at a given density that density is is not consistent through the data in the white image from the same data set you can see once again the wed the red laser hips are from the oscillating mirror system and the cyan color laser hits are from our rotated polygonal year now I i made sure that the horizontal and vertical datums on both these datasets matched each other and what's alarming is that they separated and you're seeing between the blue laser hits and the red laser hits as a phenomenon called holo where the at the end of the oscillations you're starting to get what is called beebe elongation you're no longer getting a na mele certainly laser hit on the ground you're starting to get a new English soil shape pad on the ground just because of this the laser is a fixed point and as you go out further and further from native or collect them in the plane or started getting there and everything here and listen to the shape now that causes the question in the actual ranging of fact allah to the laser sensor in the plane and and you're left short exactly where that laser beam is coming back from it's just called threw up only this kind of data is trent and you can see in that rig night image we're on the left side they're starting to match up closer and closer each other like the the right end of that red wobble points if you will producing about one foot difference in elevation and what's alarming is that a was available in the internet normally if somebody's using kind of data via question is kind of data they would turn out a lot of this the end of the oscillation because of this problem but if you just grab data on the internet you have this part of the if you didn't knew what you were doing you have some strange looking to a graphic data go ahead here we'll just explore a little bit the the resolution of the camera system we have from the legal fifteen fifty years is eight days one camera 120 magnificent roll illusion that yield free man colorimetry and have a literally a one inch round sampling density at our normal mapping altitudes of about 2,000 pretty amazing we at mobile pixels across global size day trips there's more samples of what can be seen here now support discussions defining scale applications both these sensors via the trouble or the agreeable can be years for tofu dress topographic mapping on the course of that kind of data you can get pro affections plan and profile data on you planimetric feature mapping down to 10 scale and even smaller if you do hydrate hydrographic modeling with some sensors that are put for penetrating water and these types of sensors are really very well suited to high accuracy mapping very detailed base mapping or CAD survey data or GIS do go there here's some other benefits of vhd light on and this is a big concern particularly with transportation is if you're mapping this your corner from the plane you're not going to have problems with lane closures putting your surveyors in harm's way things like that we went up had some close calls even say um it's much better to keep your people the roadway and get surveying great data in the road with no link lasers no no traffic problems no congestion no tangling losers there's a course up all your people got them it go ahead Erica here's some some other lidar data you have access to wide areas as you fly over you're not just taking pictures you're getting three dimensional data so everywhere you go you're collecting the tremendous amount of data you can collect at night so you're not required for a certain some angle and all the other considerations of photogrammetry requires you can collect at 92 that's the problem with access you're looking at as good as if not better data then you can get with a helicopter with land projects and all the associated mobile related costs and you know collecting data from the ground or for the errors is very suited for providing dangerous and accessible areas mountains steep areas remote areas things like that and we actually do get very high canopy penetration because basically if sunlight will get to the ground in in the wooded area we're in the vegetated area that you're looking at a lidar will tube because the density that these sensors put out with their light our grid system will find the holes in the canopy and you will get way more hits on the ground than you would ever get from surveyors again you're putting 20 more kids into a single square meters of lamb one of them living room so go ahead Erica so there's no advantage of the HDI on one of the most concerning any boards of course project on mines you get imagery and light are in a symbol flight you can collect light our data at night if necessary you get a very quick process into what we call a Bear Den the lab return on our lighter danger should be the ground okay and you get a very quick very accurate groundshare respect from provide our collection also because we very accurately track where the plane is in sight the entire time you need less field control and because the whiteout point cloud supports itself geometrically with overlapping data you need less control on the ground okay and as stated earlier a lot fewer data points because we're looking straight down on the site and we're doing a lot of overlap between flight lines so we're really getting to the ground from above versus trucks from standing ovation yep totally people walking through the skin areas you have for trying to do mobile mapping you can you can you know somebody taught the truck between you and in your landscape you're getting blocks you're getting giant data boys guide erica here's some more advantages something that really impressed me when the current generation the center's came out was just how good the article accuracy that this data yield we're very easily claiming that we see five hundreds of a foot accuracy on hard surfaces and we can see that we see better than that sometimes really depends on how the the Defiant ones their data and how we design the flight to accommodate their needs or desires we get very high density in a single swap on the ground we get identity it we can increase that even more like having more overlap or more cross strips of data we just did something over in the airport when we did a full checkerboard pattern on the entire area we get because of the point that you get a lot of penetration through education to the ground and you need to know in that light image you see a lot of trees in there we're getting to the ground also and I'll show you some of that later you get very minimal geometric distortion creating comparative photogrammetry because you're getting so much redundant data and again there are fewer data voids in that left image on the bottom there you can see that basically under the underpasses about the only place that you're getting any good and that like i said earlier would be somewhere you'd probably do directional scanning anyway because you're looking for higher density its structural detail got that area okay here's some some other advantages important point about light on you get more data and you should for more applications in one epic mission for educators you get faster performance and more accuracy and lower overall project costs or flight data or data it's right for you very quickly jumped it right for years we've been 24 38 hours of flight and as you'll see here shortly it provides a very comprehensive detailed terrain and landscape view or your analysis engine engineering process together okay there's another poll question and your experience what is most important for your project course there's always accuracy project cost your safety schedule so bill so far we've got fifty percent on accuracy twenty-eight percent on project cost fourteen percent on safety and eight percent on schedule and sixty-five percent of our attendees have voted okay I'm going to go ahead and close that I pull down then all right yeah I was I would be evenly driven across hall personal savings a very big deal but also I have to perform for your client and have scheduled to adhere to otherwise your clients let's have it yourself anyway here we go back to HD lineart this sensor system is deplorable year-round basically conventional coating from biometric data collection is limited to meet balkan games today and spring spring it ball when you have that show when you are calling where you don't know snow the mound you don't have these or the trees and unless new year we're trying to compile data basically now because of the density of a lot of our collection we can collect in a summer time and yet as good as a result than you could ever get the underlying image of this slide is data collected by us or a rail project and you can see the detail in the terrain and that's well you can see the rails picking up you can see all the catenary lines you can see the trees too but look at decimal points on the ground the much-lauded screen you would never get that Rivera never happened this is this data is at least 20 points per square meter and in some areas is approaching 60 go ahead this is the east side of the may approach to the testing fake bridge or roads highways and bridges Ryan our data really is suited to and will yield 10 scale mapping which you can use for resurfacing with high accuracy small hard surfaces that you have a lot of confidence in what you're dealing with completed many projects for G ot another education authorities and in fact it started see this implemented into what they consider their minimum standard for do data collection go ahead Emily we also do this kind of work for railroads I effectives another group of data from what you to slide to go to the woods as well this is a rail car or a transformer field and John the website is pull out data on the right size the color imagery that was collected at the same time so you can see that a tremendous amount of information is available break down to where trucks are and everything else so but Aaron here's an overview again holidays we collected data or an airport which allows airport instruction analysis asset management and you know you're getting Jose a very good terrain model and everything else that's in that landscape it's as if you never work around an airport you know it's impossible get close two runways without causing a giant problem and you know we can generally get over it works very easily little white our center and collect tremendous amount of data go ahead Erica there this okay we have a case study here that I participated in early on whether we're really testing the data of the light our collection we did a case study of a eight mile strip of l1 starting at the south end vermilion river in the fridge and running north up to the code each day miles long and collected in 1841 quarter past and what we're into is a quick comparison between HR HD lidar images that we collected and then also a planned point over the same same footprint to compare costs and related support so ok SF could be collected in the cigarette level on the HD light are required 10 photo ID consultants and relocating 10 points on the ground the GPS to control and check adjustment of lidar data based on normal and respect parametric planning that same quarter would require 34-3 targeted control points one reason for having fewer control points in HD without injury scenario was because we track very exactly where the plane is within a few centimeters of its true provision of all times there was no el Gordon EPS came to building on you in the plane for the photometric mission the data we collected for that script with the library sensor yielded a nominal density of seven points per square meter ok and took 89 exposures with our 16 megapixel camera to cover the to get to a 50 scale black-and-white film it would have required 51 exposures of conventional photogrammetry so the slightly lower density are slightly lower resolution camera and me in the tremble unit would have actually had a few more experience that's not a big deal both of data will plan to yield up to tens of a foot ground sampling distance resolution in the imagery on the interest don't call settings for the mandatory that was done with a black and white imagery which would yield the data because of the accuracy of the lidar sensor we could guarantee that we were getting 20 scale mapping the lower the lower the support of the light R&B high resolution of the the color sensor allows d20 scale they could only get 40 gal mapping results with the vertical metric solution because of the accuracy of the HD lidar sensor we can easily achieve 6-inch tomography 6-inch contours the photogrammetry trying to trying to bring the cost in we could only really yield one foot to the graphic resolution and our data the root means square of the elevation airs on in the light of day that was for underfoot and I can tell you we actually dropped as our initial test who wrote the ground control we we we hung the north end of the light output cloud on a control point I set at the north end of the job and I went all the way eight mile down the south end of the bridge and checked into a paint right down there and we missed it by three hundreds of foot vertically pretty amazing um and then we tested throughout the rest of it so we have a movie square elevation air pressure but know that you can do out of a photogrammetric solution there is a quarter foot horizontal routing square with you tentacle put in the imagery and the from the lidar sensor and from the photometric solution your horizontal movement square was half foot and back to the HD larder in 16 hours we had an unclassified point cloud ready for analysis photometrics solution of the total labor hours for 562 hours and in the end the EHD lidar we have any product version so God area here isn't costs and as you can see the the total budget the total cost were the HD lidar collection 35 called thirty six thousand dollars and slightly under forty five hundred dollars per lineal mile to collect the data benefits release 80.5 you are ready for analysis in less than 48 hours that a very very high needs their air the protocol actresses spectacular and we would add finalcad deliverables for weeks after who's required the data we did very little supplemental field data basically just control and things like that for the photographic solution the cost is significantly higher prob and what's interesting at how it came then different we had a higher acquisition cost we're going on and a lower lower activated comes from the photogrammetry because we are trying to save money where we could it so it was flung with us we can do some black white and put that not trying to cause to go up you know trying to try to get the photometric solution can't hear but in the end you still end up with an absurdly more calls for a little mild and you know at the end of the 38 our acquisition all the avocent photos nobody's it's not put together again you don't have any idea of how with your data is even 48 hours after the flight it took eight weeks to compile the deliverables and and the the achieved results were not as good it was actually a pretense of a foot mean square protocol of solution and there were substantially worse supplemental field serving all to teach at things and make sure that you already okay Erica good bye here's another poll how likely are you to use HD while off on your next project that uses them simply most realistic cost analysis all right the the numbers are coming out twenty-four percent extremely likely fifty-eight percent somewhat likely an 18-percent not likely at all and that's with fifty six percent of the attendees voting okay okay we're going to try to get some light our data pulled up interestingly enough before we go any further than this this is part of that sample data case study that we did that is the new Indian River in with bridge on the left side of that image and they're actually disassembling the old Indian River Inlet bridge there mid screen and you can see the shoreline and the beach and this was shortly after there was a near miss fire hurricane and they're on the beach right next to the a of accent some beach you can actually see a an old foundation for a gun platform they had no idea what their until after the strong so ok I'm going to try to get into some data here everything once i get managing screens [Music] okay Eric I'm going to try to swap in my screen okay really all I'll need to make you presenter so okay go out that's coming now you are now presenter okay another quick look tools we're seeing quick terrain reader right now there we go okay came up yep okay this is an interchange off of 495 and basically I'm just going to explore this data fed a little bit show you some things that are in it than I'm interesting um I'm gonna have to go to slow the internet a little too bogged down a little bit we use a blu ray projectors think I got me show this date because it was so so depending on the resolution discreet illiteracy which one this data was acquired over sexual 495 those slugs were not even very good grade on of course that the vehicles are visible and in some cases stretched in this case here you see a product's probably 40 feet long on because it was going so fast as we pull over on course we pull all the cars out of this data TV the filter them out as you can see it you see all the things from individual pain strikes you see the transitions from concrete from approach laps to load web services see over hanging wires and action query measure the distances in the data set from the troop of the wires to the road focuses on you getting very detailed information into swelled up a good sized one under the bridge that are materially the basic you see a tremendous amount of information you did get some sense the condition paint rights and see where the railway signs on we're going to change my view feeling with it you can actually see it see the your red sign on you too and it'll what on you thought to protect it you can see where those data is is not visible off from the planet doesn't want to beat the deck here so you can see through do you actually see where we're not getting underneath the bridge and that's that's the only rule avoiding this data is one of neat things where the plane consider whether we look into whippany little out a little bit and give you an idea what kind of revolutions you're getting inside israeli that are you're getting you're getting ripped out lines and shapes if they'd actually they're clean you're getting all kinds of information you tell it a different reflective and karaoke sidewalks you can see we're waiting to see shadows callers on computers a ditch or something going on and perhaps as a fence with ideology has effects that you can see ya there's a drainage a were here what would they be probably lift off they don't anything for clock say something neat i am today and actually see right there at the bottom of the inlet we got light update on the bottom of that Inlet right up above the point glad it's great there you can actually see all that integrated unmoving around that's the detail line unit yet you can call the apron around and anything else you really know where that water's young okay on you can see over here on the need some complete denture only I move this you can see basically the difference between the ground its kinetic point is on the ground in here getting full getting the ground no volleyball in the trees I've seen next you stop their qualifying on a hand and finds it or the growth of vegetation in a situation oh it's gorgeous done there's a way down here and I'll see the trees one closer to you and kind of a gray color although very light hits home run right that you play color shading really Oh coloration what I'm doing is changing the arm to change it to a five-foot confident over here now it's a little easy to see the ground from trees [Music] go to hear if I move this month I the very blank white is a very light greenish yellow college I to the ground through the trees that that incomplete Canada penetration which is right idea of just something to quick interest I mean I have a 5 a pretty powerful computer well I just did a contour map with this Calvin pull out data and continuously with popular contractor everywhere you see a white and green junction is a 5-foot the Contra now so I want to change that pattern here one second off with this on a one foot caught wonderful they had a one-foot controversial thanks every time you see a white and green junction in da avoid a one-foot contour interval okay that's how quickly the data doublet and get a very good sense with this place looks like very quickly others are chocolate about like I said before all the older cars and get filtered out of the day or there's not something this is basically almost walking out get a real good idea of swells and shaded around there instead of the grass grow hair on and come back and change to is competing lines from the laser scan if I line you up you look down the line you start to see parallel lines in the data interaction the Laser grid lines from the thing so you can you can see that there's a line going all the way across this area here until you have cross sectional data every couple inches across this range service so if you want to really query you're right surface and see what's going wrong with it very quickly he was going on you can see what we're taught to take the services if you so desire of you will really get a lot of data and you don't need to be afraid of that data basically like any type of light our data with its director award from an Arabic source on you can select what you want to use in your data set typically surveying wise we we would go along and select a number of points along this way all the top banks and things like that and channeling a console amount based on the data we want to give you you know how I tens of billions of billions of light on point you select what you want to use in open areas you need a great system to collect data and we create we collect along features and brake lines just like people is building so the show doesn't add up in a very conventional way so oh it will idea little tiny bit like you know today you're interested in in the ground surface in a toga and as you get 40 long years on you also you're interested where will our lines are whether with the clearances on the Royal times or anything else and basically mind this data set or everything under the Sun you don't have to keep sounding surveyors out on to you know we need to know how far that building is from the right-of-way line here they happen that does not to know whether to rob basically you can keep finding this data set for information you need basically I would say they're not limited fashion but certainly it's only when we buy by your identification they might have any questions at this point yes actually we have quite a few questions you know in the high pop opera yes we're almost at our time limit but if people want to stay and answers have the questions answered we'd appreciate it if not we can always email them so I'm going to sort of randomly choose here we have a plane to airborne topographic lidar does a Geiger mode provide significant cost and quality advantages over single photon or linear mode and I read it but I don't understand it well we don't collect either from any of those types they're pretty much a proprietary systems locked up by a couple of manufacturers of one of the problems with with Geiger mode work or the other types is up there's less resolution and um it does really yeah they're really geared towards very large wide area collection was this system and this isn't we use are tailored to work order type mapping we can certainly do why there is very efficient too but those types of newer types of white are really geared to wide area mapping they don't get the same kind of high identity resolution on and definition of things and um and also they're there they're going to be expensive you had limited the number of providers and get the data from and of course when you're using more conventional and i would take a look that will mature white are types you have a more competitive market okay and I think those are really good once they mature a little for I'm not downplaying new types of data right now those not mature to the level business other my orders all right well thank you here's another one for a state with an area of i think i'm going to round that to a hundred and twenty trillion square meters how much how much discouraged will i need for raw data and data trillion okay cuanto a la that's a thousand yes that's a trillion also more than one powerful computer is ooh yes yeah okay we typically we do light on projects now and i can't quantify how big it is but we do two and three and four or five thousand square mile projects now and we deliver the data of depending on what the end user wants on one in by the box of external drives and basically you have to determine how you're going to manage that data in which you want to mas it if you just want a difficult add file civil 3d surface of something that's you know hundreds of square miles or were large urban attic and you can cut down on what you have to deal with you do not necessarily need to deal with the light our date of yourself you can have austin rivers or anybody there normal civil 3d help us to you so that you can dive into use not have to deal with a pluton you can deal with the point cloud if you come up with another need in a particular area of interest you control a time of yr a 10 and develop leadership resolve that civil 3d has some very good tools for dealing with it point mountain and we use some additional tools ourselves to do structural building palaces so you're not forward to deal with the data you would get a service from somebody just have to tell them that you want that but that's definitely better for you know when you're talking about project level material well we probably have time for just one more hopefully again I don't understand this but with with ql one lidar is feature extraction a reasonable expectation also do you think HD lidar will will ever replace the need for planimetric or or so imagery collection separate from point cloud and intensity data i tol one level data I don't think you're in it it's going to be featured dependent on what you can extract larger services building cool interesting like that it's relatively easy to come up with good building shapes at that level detail you're not going to see little tiny things because the desert is not there is support it I think as we see higher and higher densities and faster effective running light our sensors and I'm sure labels right now working on a forehead center the replacement to attention we have I think you're going to see densities fully get latched it up I don't know that you're going to see deserts from the air or approach which you can get on the ground but you can do feature extraction from terrestrial and mobile mapping data um we use it in we know will navigate in a tunnel in all the more and we can actually see the patterns of surface water infiltration into the brick we can measure how deep the cracks were in the brick walls we can measure how deep the crowded joints or between the Rick's the walls we can identify sticks lying on the track we do need no de la branding material on paper cups that we're in the debris in the trash laying on the tracks identifying better besides dividual pieces of aggregate lang between be crossed eyes it was amazing so you can't expect data on whether you can extract features from lidar data if you have to technical support well you definitely have some comforts online i have a few people saying yes yeah we're going to correct our last statement we are more likely to now use this product they have a few people correcting that okay 11 to tell your data with a spouse or another quarter to give based on what you can do in just us what didn't want to try to do some of the co-leaders talking about good job is specific to you know we have a lot of geospatial people online they wanted how easily is this used in something like ArcGIS or and to combine another person saying how do you produce vectors for feature extraction in CAD so we've got GI arcgis or we have any type of cad can you know talk about the back because it easy these why our heads from any of these sources act just like they're imported and it looks like an active all that you would get concerning there's no point on which associated with it and there's no descriptors instead you get work intensity to return information added on to that but basically is a giant XYZ comma delimited file that you would import into cat now civil 3d allows you to manage that more effectively with layering and other tools like that so you can turn certain aspects of it on and off they basically would you would select a male along a page driver of point of a curve on civil 3d has tools reviewing those things in cross section and then you pick a white are is that you want to use and make just like I would standing in the field with a robot again tomorrow GPS i would pick points along a curl on their paint how to to locate a map with so it's basically we get locations with the lidar on everything under us and then you pick what you want to use they want to draw the paint stripes for instance in the middle of the screen there you've got the Chevron's delineating minute so I can go parking you know area at that exit ramp of you can actually draw those paint products which are probably a foot wide in reality or better you control them in life size you would see from the right to see a test you can wear this black top American a chart drawn just like you were tracing it's getting there everything ok I can add I can have as I do this is eric from autodesk our product infraworks also has the ability to extract features out of the point cloud data and also reduce it to ground ground elevation so it'll you can run you can run a routine basically that will strip out the trees and such and get it down to bare ground elevations as well we typically would deliver to a transportation for any other type user movie called error service center point data is this classifies all the less returns and what we do on the ground is on one classification layer all the vegetation is another classification layer buildings are another classification layer and that can be as widely varied as you desire to paper that's fantastic that's some really robust data there it's great oh yeah and have told yourself to classify yourself too so it's we will your civil 3d at a school all so for the GIS people on the line how easily is it converted to something like arcgis are you used in like QGIS or making a you know a more map friendly product alright third-party software is all some tones of edited off a jury and in cuz I just came to my ass there are third party packages that are also invited to will you don't do this is a lot earlier thing yeah the common file that is used as a they deliverable client is in LA s file and that is a relic read for that to import awesome all right well I mean I didn't get that everybody's Eric you know if we can sort of download the questions with the people attached in case we need to send them farther information yeah we we certainly can I can provide you that information after the webcast awesome great anybody get ahold of me in preparation to me and I'll get back to you just shoot you an email and on why does list of questions other than right we do have somebody that is actually excited about some of the stuff that you'd em out here and I'll let that go offline okay so um again let's just wrap up here thank you very much bill dairy and Erica employee of Alec of access to spatial LLC for being our presenter and thanks that Eric Chappelle an Autodesk for sponsoring our webinar today uh do you have any last statement still eric or erica miss just want to say thanks for giving us the opportunity to to host okay so thank you i appreciate it at all magn Todd thank you I hope everyone enjoyed today's webinar and will join us on thursday May eleventh in Philadelphia for ESRI transportation showcase details of this half-day information exchange in person meeting and registration are available on the mag cut that wordpress com website until we meet again either at that meeting or virtually at a nugget webinar have a very geospatial day everyone goodbye

Channel: MAGTUG - Mid-Atlantic Geospatial Transportation Users Group

Views: 57

Rating: 0 out of 5

Keywords: LiDAR, Remote Sensing, Maryland, MD, Mid-Atlantic, transportation, Geospatial, Engineering, GIS-T

Id: BHB47RfdJ-s

Length: 66min 32sec (3992 seconds)

Published: Fri Apr 21 2017