AU Class
AU Class
class - AU

Better Site Planning Using Commercial Satellites for Reality Capture

Share this class

Description

Many are familiar with the concept of using drones or terrestrial sensors for reality capture techniques. In this session, we will discuss how the advent of new technical advancements in imagery from satellites makes it possible to use sensors from space to develop brand-new, previously unavailable reality workflows. We're going to use satellite imagery from BlackSky satellites processed in Esri's ArcGIS Reality to create accurate scenes and 3D data sets that we can bring into InfraWorks and Civil 3D software to create an immersive product that we can use for site planning, proposals, and construction-progress monitoring. The session will start with an overview of the commercial satellite industry: We will study the different satellite constellations and explore reasons why we would pick one over the other. Then, we will show how to process satellite imagery in ArcGIS Reality. Finally, we'll show how the processed data flows into the Autodesk ecosystem and is used as authoritative data for planning.

Key Learnings

  • Learn about the advancements in satellite technology.
  • Learn about the available public and commercial satellite constellations and when to use them.
  • Learn how to process satellite data using ArcGIS Reality into 3D scenes.
  • Learn how to pull ArcGIS Reality data products into InfraWorks and Civil 3D to promote and design from.

Speaker

  • Avatar for Jeremiah Johnson
    Jeremiah Johnson
    Hi! I work within Esri's Imagery and Remote Sensing team, specializing in imagery capture and delivery. I hold a degree in Spatial Sciences from Texas A&M University and am a certificated airplane pilot, in addition to holding a remote pilot rating. I'm based in Esri's Berkeley, California office.
Video Player is loading.
Current Time 0:00
Duration 38:40
Loaded: 0.43%
Stream Type LIVE
Remaining Time 38:40
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

JEREMIAH JOHNSON: Hello, everybody. Welcome to this session, Better Site Planning Using Commercial Satellites for Reality Capture. I am pleased to be speaking to you at this time in Autodesk University 2023.

I'm really, really excited to bring this topic to Autodesk University. We talk about reality capture a lot. There are a lot of sessions around reality capture. I am really excited to talk about a brand new way to think about reality capture. And I want to expand how we think about reality capture, especially for some of the projects that we have there are very unique projects where this type of workflow might be well suited for.

I'm Jeremiah Johnson. And I've been with Esri since 2019. Before Esri was a drone subject matter expert. I worked for a company that did reality capture using drones. I did that for a number of years before that product and team was acquired by Esri in 2019. Since joining Esri, I have expanded from just being drones to incorporating terrestrial, and aerial, and as you'll see soon some satellite based imagery acquisition. So it's really, really exciting times for this space.

This is my fifth Autodesk University presentation. If you've seen my talks in the past, it's usually been around drones and what capabilities drones can bring to those of us in this space. This is my first talk on satellites. So like I said, I'm really, really excited.

I am from Texas. I'm from Central Texas. I went to Texas A&M with a degree in remote sensing. But today, I'm here in Berkeley, California just across the Bay Bridge from San Francisco, where Autodesk is.

So first, I want to kick it off with a little bit of a thought experiment, maybe some reflection. Reality capture is a buzzword. You see this a lot and I just want to make sure that we as an audience understand what we believe is true for reality capture. What is reality capture? Is it a verb? Is it a subject?

Personally, I view reality capture as a verb. It is the idea that you can take sensors, whether they be active sensors like LiDAR or passive sensors like cameras, and we can take little snapshots of our world, bring them together, capture reality into a 3D sort of experience that generates an as-built of our environment. And we can use different sensors to capture this reality. I would sometimes even consider RTK GPS as a form of reality capture, albeit not the most exciting form of reality capture.

So for the purpose of this talk, let's define reality capture as using active and passive sensors to capture the world, to create 2D and 3D data sets for our workflow. That's the basis that we're going to use for this discussion.

If this were a live audience, I would maybe propose think about some trends in reality capture. Think about where reality capture has gone or has been in the past maybe six, seven, eight years since it's really become a buzzword. A lot of us associate reality capture with terrestrial LiDAR. You know, FARO sensors or like BLK 360 sensors.

Some of us, like myself, came into reality capture from this drone space where we use flight planners to fly drones in our projects. The drones take a lot of pictures and then we pull those pictures into a software to convert those pictures into 2D and 3D data sets. Maybe that's how you view reality capture.

I want to talk about the next trend in reality capture, which is using commercial satellites to do the capture for us. This is really exciting. It's not as sci-fi or out of this world as it might sound. In fact, it's really easy. And we're going to do it semi-live for you here. I'm going to show you the step-by-step workflow on how I did it.

But in order to talk about reality capture from space, there's really something I want to bring to the table. And that's how important one company has been to this entire industry. And that is SpaceX. Many of you are familiar with SpaceX. SpaceX is a phenomenal company. But they have really changed the way this commercial satellite arena has been operating.

In 2010, SpaceX launched kind of a little funny pun there the Falcon 9 rocket. This was a rocket that was designed and capable of delivering serious payloads into Earth orbit. So this wasn't mini SATs or microsats this was a rocket that was intended to bring cargo and people into space. And we saw that happen recently. The first crewed launch was a few years ago, maybe two or three years ago.

In 2010 was the first flight of this rocket. The main component of the Falcon 9 was this reusable booster. This means that in 2021 there were 31 Falcon 9 rockets launched. There were only two boosters made that year, or two new boosters were used that year. So the reusability of this rocket was really key for the success of this SpaceX program.

This cut costs for our customers tremendously. They would be buying space on rockets that would be disposable. We for decades had been launching rockets into space that its intent was to deliver the payload, and then burn up in the Earth's atmosphere never to be used again. Those of us now living in this post Falcon 9 world, that's a pretty crazy concept to think of that we would just completely burn up an entire rocket. But that was the basis for how we launched satellites up until Falcon 9 was commercially available.

So what did this do? The cost to launch originally was something about $10,000 per kilogram of payload, so pre-2010 this was the going rate. If you had a satellite that you wanted to launch it was roughly $10,000 per kilogram. This significantly reduced the number of companies that were able to do this. In fact, the majority of the satellites were owned by the US government, the Department of Defense. And any private companies that had satellites in space were funded by the government the likes of Maxar and such that had satellites that they would spend hundreds of millions, if not billions of dollars into, in order to launch into orbit.

After Falcon 9, this cut the cost down to $2,500 per kilogram after the Falcon 9. Look at that. I even scaled these bars appropriately, so that we can understand the sheer magnitude of that cost cutting after the Falcon 9. Today, the going rate for a Falcon 9 is $1,500 per kilogram.

In a matter of 12, 13 years, we've cut costs. We've cut costs to almost 10% of what they were. Has that done to the commercial satellite market? Well it's created a boom. The free-falling cost to launch satellites has created this economy of nanosatellites. We're now seeing startups being able to design and build satellites, then launch them on SpaceX rockets in order to test different types of constellations, different types of sensors, all being venture funded. It's just because of how cheap it is now to launch these satellites.

Categories making up the most constellations in orbit are communications and Earth observation satellites. In this conversation we're having today, we're going to be talking about Earth observation satellites, EO.

This has caused a democratization of satellite imagery. Satellite imagery is no longer owned and controlled by governments. Right? We now have free options like LandSat and Sentinel. These have been around for a long time. We have the legacy premium options like Airbus and Maxar who have been providing imagery to our governments for a long time, very high resolution imagery. But now we have more accessible options, options like Planet and Blacksky.

Premium satellite content, this is Maxar, Airbus. They provide very high-resolution imagery but it comes at a cost. These satellites have global coverage. Maxar and Airbus satellites are relatively similar in terms of capabilities. Maxar is an American company and Airbus is a European company. These satellites, just to give you a little bit of scale, these satellites are about the size of SUVs, maybe small buses in some instances. But these are relatively large satellites but they have a lot of capability. They're meant to stay in orbit for a long, long time, measuring the Earth with very high-resolution sensors and bringing those imagery down to Earth through ground stations located around the world.

Well, let's talk about these more accessible options. These options that were not available pre-SpaceX Falcon 9. The first that I wanted to mention is Planet. Planet Labs is located in San Francisco. Believe it or not, they actually manufacture the satellites in San Francisco as well. They consider their satellites doves, and they call their constellation or their launch sequence of these doves as flocks.

So they'll typically launch a lot of these in one go. They have these containers that launch alongside other satellites that SpaceX might be launching. And they'll shoot them out in a specified interval, so that these flocks of doves will orbit the Earth in a very organized manner.

Planet Labs, they no longer hold the world record. But they broke the world record of the largest private satellite constellation in orbit. This was not too long ago. I think this was in 2015, 2016. They had 150 satellites in orbit.

Planet Labs, because of the number of satellites that they have in orbit they're able to map the entire landmass of Earth every 24 hours. Think about that, the entire land mass of Earth photographed every 24 hours. They have daily updates of the world's surface. Again, just a sense of scale, we were talking about Maxar and Airbus satellites being the size of SUVs or small buses. The planet doves are about the size of a breadbox.

So they're about this big, and they're actually meant to stay in orbit for not too long, I want to say less than five years. After that time they burn up naturally in the Earth's atmosphere. And the Earth's atmosphere operates as this natural trash composter. So these things don't stay in orbit for too long. They don't stay in orbit and become space junk. They naturally burn up, and Planet just continues to manufacture and launch these.

The next organization that I wanted to talk about is Blacksky. They named this slide, it's kind of funny, Selfies from Space. But this is endemic to how these satellites capture the Earth. Blacksky specializes in low latency observation from space. So their satellites actually take single photos or a burst set of photos that are tasked from users on Earth. So Planet satellites are a more these sweeping type of capture. So they will capture the entire Earth in swaths. That's how they operate.

Blacksky, they have 30, 35, 38 satellites in orbit. And these satellites have gyroscopes on board. And they can orient themselves however they need to orient. And they're able to orient themselves and take a single picture, almost like a selfie from space. And then they send that single image down really, really quickly.

You can see on the left. I have their orbits in place. And they have a really unique orbit in that they're not orbiting the entire Earth all the time. They chose, I believe, it's plus 40 and minus 40 latitude, which is where the majority of human population is. And that's the orbit that these satellites live in. Because of these tight orbits, these Blacksky satellites are over some point of this 40 by 40 latitude ring every 30 minutes, very, very fast, high revisit rate.

For this workflow, I'm going to be showing how we can use Blacksky satellite tasking to build a reality capture model of Angel Island in the San Francisco Bay. Let's take a look at how we do that.

So let's talk about tasking a satellite acquisition. Through a web browser, Blacksky enables the precise tasking of photos from space. You can task one photo, two photos. You can task over a period of time. The more photos you take of an area just like with any reality capture strategy, the more photos you take of an area, the higher resolution the elevation and the details will be.

For this example, I'm going to show how it can still be done using only two photos. Remember, I'm coming at you from the drone space where you really can't do too much with two photos, three photos, four photos. In the satellite space it's a little bit different. You can do a lot with only two photos.

So let's look at how we task it. So with Blacksky they have an application called Spectra. And what I'm going to do is click on Angel Island, select the product. Instead of a single photo, I'm going to ask it to do a stereo pair. The stereo pair means that as it's orbiting over the desired location, it's going to take two photos at a designated angle of incidence. It happened really quick there.

But in the tasking section, you can define what that angle of incidence would be and it will follow that. So as the satellite orbits overhead, it's going to go click till it gets to the different angle as specified, and it's going to go click.

Like I said, the revisit rate is every 30 minutes. So it is almost ready to go immediately after you hit send. After the photos are taken, they are immediately beamed down to a ground station. I can get these photos in my inbox within 90 minutes of capture, pretty quickly.

All right. So let's talk about the keys to a successful acquisition. It seems obvious. But I did want to specify that clouds won't work for satellite acquisition. There's no way for a satellite overhead to see anything underneath that cloud layer. So it really only works if there are limited to no clouds. Now that being said, within that Spectra tasking app that Blacksky has, you can specify what percentage of cloud cover is acceptable. And it will not send you or it won't collect if the clouds are there.

So typically what you will do is you'll set, hey, I want a stereo pair or I want a burst collection over this area. And try for a week, or try for a day, try for three days, depending on the weather for that area that you plan ahead for. You can say, hey, keep trying. And then when it finds a time that works for your specified parameters, it will then take the photos and send those photos down to you.

Incidence angle, so incidence angle is just a fancy way of saying what is the relative angle between the two photos or multiple photos that it takes. Optimally, you want to have an incidence angle greater than 5 degrees. If you're thinking like me, again, from the terrestrial space or the drone space, 5 degrees is not much. But from space, it is significant enough. Obviously, an incidence angle greater than 5, when you get to 8 to 10, 12 degrees you're getting more and more and more oblique from each other.

So it'll actually produce higher quality 3D. So you definitely want it greater than 5, but no less than 5. Because less than 5, it'll either fail or not produce the 3D that you want.

Something else to consider is that natural features are more successful than built structures for reconstruction. And this is just related to the resolution of the imagery that comes down. I know that some of us are used to, when we get on our phone and we try to navigate somewhere, we turn on the satellite view. In the satellite view we can see all the way down to our cars and the paint stripes on the road.

Don't be misled. Google and Bing, they use satellite when you're zoomed way out. And then they use airplane or aerial data when you're zoomed way in. And so the satellite resolution, even really good satellite resolution isn't never enough to really zoom all the way down into what you think is satellite view when you open up something on your phone. So for Blacksky satellites the resolution is somewhere around a meter, a little less than a meter, so a little less than three feet. And that's the size of a pixel.

So for something like this island, it's great. We're going to be able to map this island well. But individual buildings, cars, even definitions of roads and bridges, are not going to be seen very well in this imagery. I guess you can see it, but it won't have enough definition for us to be able to reconstruct it in 3D. So natural features are a lot more successful than built structures.

The same-day capture is ideal but not necessary. Again, when you capture with drones or even terrestrial stuff, you tend to want to capture everything not only the same day, but the same time of day. You want to do all your capture in the morning or all in the afternoon to prevent the difference in lighting, in structures, to produce a successful model. For satellites it's less necessary to capture things within the same time period.

The differences in how things look from space really don't change too much as the day goes on. Obviously, we have things like shadows. So if you have skyscrapers or things with the shadows that are moving across maybe that's something to consider. But that's really just a visual thing and not a reconstruction thing that you're looking at then. So same day capture ideal, but you can certainly capture images over the course of a week and stitch them all together into a successful model.

As with any reality capture project, you want to capture as many images as reasonable given time and budget. So for this, again, I just want to show you what's possible. So I only took two photos of Angel Island. If this was a real project, if I was going to do this for real, I would do a lot more than two. But not hundreds, not thousands, but maybe 10, maybe 15. For satellite captures like this, Blacksky they'll charge per photo.

And don't quote me on this because I don't work for Blacksky. But just to give you a range of what you should be expecting per photo, it'll be between $200 and $800 per photo, depending on what kind of plan you have. So that's the budget that you should be thinking of when you're capturing photos like these.

All right, once we've got our photos from Blacksky, we're actually going to open ArcGIS. So as I mentioned in the beginning, I work for Esri and ArcGIS is our platform. Esri and Autodesk have an alliance partnership. So a lot of our products work together. A lot of you have maybe seen ArcGIS connectors within Civil 3D, and InfraWorks, and the like. They play really nicely together.

In order to do this step, it does require ArcGIS. I'm going to be using ArcGIS Pro. It gives me the tools that I need to take this data and process it. And I'm going to use photogrammetry methodology that is very similar to aerial triangulation mathematics.

Because it's a satellite, its location and orientation is known very, very precisely. There's no vibration or things going up there. You're not banking in the wind. There's no turbulence. It's not a drone that's drifting around. There's really not a lot that's affecting its course. And so being able to precisely know exactly where the satellite is when it took the photo is pretty easy to determine. Because of that, we can use traditional photogrammetry methodology in order to create a 3D reconstruction of the imagery.

So for this, I'm going to take my two images into ArcGIS Pro. And I'm going to pause this here really quickly, because I wanted to walk you through the tools here. So within ArcGIS Pro, we have tools and a toolbox. And I'm going to describe to you what each of these tools are.

So if you look at my model builder, anything that's blue is an input file. Anything that's green is an output file. The yellow boxes are the actual tool that is running. So the first step is to create a mosaic data set. In ArcGIS a mosaic data set, it is a layer or a feature that consists of multiple images. So this mosaic data set will contain the images that were captured by the Blacksky satellite.

So I'm going to create a new mosaic data set. I'm going to give that mosaic data set a name. Then I'm going to take my two Blacksky images. So you see the Blacksky image 1, Blacksky image 2. Those will be the inputs into the next tool, which is Add Rasters to Mosaic Data Set. We're going to pull those images in. I'm going to give it a spatial reference to store those images in. And then it's going to create this mosaic called Blacksky in this case.

Now here's where it gets cool. The next tool says Build Stereo Model. And the only input for this is the mosaic data set, so this tool assumes that the images inside of this mosaic data set have been captured at an appropriate angle of incidence in order to build stereo models. So it's going to run. It's going to produce a stereo model. And then the next step is to generate a point cloud. So it's going to take the stereo model which is basically a mathematical model of how it tied everything together, and then it's going to generate a point cloud.

From that point cloud, we can use that point cloud as is or what I did was I interpolated from this point cloud a digital surface model. And that's what I ended up using for the rest of this workflow was this raster GeoTIFF that contained elevation values for the entire island. So that is the step-by-step process in ArcGIS Pro in order to convert these two images into a digital surface model using ArcGIS Pro.

But you see what I have in here, this window here. If you're not familiar, this is called ModelBuilder. And it allows me to string tools together. I can save this tool in my toolbox. And so the next time I do this, all I have to do is give it two images or however many Blacksky images, hit Run, and then it'll run through the entire model and spit out the output digital surface model. So it makes things really easy for me.

What's really nice is because we're using typical traditional photogrammetry methods, this process takes really, really fast. So again, drone world, terrestrial world, you're processing data sets. It might take 15, 30 minutes, an hour or three hours depending on the project size. This stereo model to output digital surface model took 3 minutes to run, really, really quickly.

So again, given good weather, I'm able to task a satellite collection, receive the images within 90 minutes, and then run this to get a digital surface model in 3 minutes. That's 93 minutes from tasking to having an output. That is really, really powerful. And frankly, it feels crazy because when I was a kid I would watch movies of people tasking satellites from space. And now I can do this from home. I can do this right here in front of all of you and generate data sets useful for my organization using the satellite tasking.

We talked about how to do this with two photos. I just want to show you a typical capture. So this is what I would do typically for an actual project. If I turn this on, you'll see how many images I've collected. So this is something like 15 images of Blacksky satellites over northern Italy. And this is the result of that. So I'm able to get more detail on some of these buildings located in Northern Italy, some of the detail on that the mountains there. And all of that was possible because I collected more than just two. I collected 12 to 15.

But don't let that scare you. I'm going to finish this workflow with the stereo pair that I started out with. And I believe you'll be impressed with some of the results that I was able to get.

All right. So now that we have our digital surface model created from our stereo pair from ArcGIS, the next step is to import the 3D data into Civil 3D. You can use the digital elevation model as is. It is a georeferenced GeoTIFF. So you can pull that raster into Civil 3D, or you can generate contours from that raster using ArcGIS Pro into whatever interval you want, and then use those contour lines in Civil 3D to create a surface. Either way works, just depends on your preference and workflow and how you like to create surfaces. In this example, I'm going to use the contours.

So here I'm going to open up Civil 3D. Those of you with eagle eyes are going to notice that I'm opening Civil 3D Metric. And that is because the satellite imagery comes in as metric. All of this can be changed. You can change all of the settings in ArcGIS Pro whenever you run this. But to be honest, I didn't do anything. I just took the raw images from Blacksky, ran it through ArcGIS Pro to get the digital surface model to create the contour. So everything here is going to be in metric. And so that's why I'm using the metric stuff here.

So once we have Civil 3D loaded, again, I'm going to define a coordinate system for this. Now here's the tricky part. I know I just talked to you about metric stuff. But my map was in State Plane California. So here I am going to select California State Plane Zone 3. And that's what my design is going to reside in. That's just what everything else is going to be in.

The next thing I'm going to do is I'm going to open my tool, create surface from GIS data, define how I want my surface to look like, and then import that shape file that was generated by ArcGIS.

I'm going to choose which attribute in the shapefile is the elevation, and it's going to run and produce my surface. All right. My surface is created. So if I zoom Extents here, you can see my surface loaded into Civil 3D of the island. Isn't that cool? So this is 1 meter contours. If I turn on my map, I can just verify that it's located in the correct place. And here is my surface of Angel Island collected in 93 minutes, located correctly here in Civil 3D. Super mind blowing, it's crazy that it happens that fast. And it's crazy that if you look at the contours, the contours turned out that well.

A couple tips here. Pay attention to the coordinate reference systems. I talked to you a little bit really quickly about how they come down as metric at first. If you want to change that, you can change it. But again, when you're stringing things along in a workflow like this, pay attention to the coordinate reference systems. Satellites aren't going to collect in State Plane. They just won't. They're a global constellation. They're collecting data all around the world. The data is going to come in something different.

Like I said before, the resolution of the imagery will mean that features like buildings are not going to be defined. Also consider that dense forests will behave like terrain. Again, it's very similar to clouds. There's no way for the satellite to see underneath the tree canopy. So if the tree canopies are tight enough to where the satellite can't see below it, it's going to treat that tree canopy as a surface itself. So don't think that you're going to get ground points almost like you would LiDAR. Individual trees, similar to the reasons why buildings wouldn't be shown, individual trees would not be shown just due to the resolution of the data.

All right. So what's next? Let's take our surface, and let's create an InfraWorks project, and start to build out a site plan of the island. So those of you who are familiar with InfraWorks know that this is a really easy workflow. All I'm going to do is create a brand new InfraWorks model, named Angel Island, and give it my coordinate system. I'm just going to give it the same coordinate system that I've been working with this whole time.

For model extents, all I'm going to do is give it the extent of the contour shape file that I generated from ArcGIS. I figure that's the easiest way to define extents for the project, so I'm just going to give it those contours, and move on. And I believe I'm going to leave everything else default.

All right. So we're going to create our InfraWorks project. Here it is. And the next step is to import our surface. So I've got something that I forgot to mention is that within Civil 3D, I took my surface and I exported it to LandXML, and I'm going to use LandXML to import that surface into InfraWorks. So that's me doing this here.

Look at that. Here's Angel Island in all its glory here sitting in InfraWorks now. So already, I have a site plan or a rough site plan for the entire island. Again, I collected this data in 93 minutes without ever having to set foot on the island. I was able to do all of this from the comfort of my own home or office-- collect, process, and analyze the island. This is really, really cool. But I want to show another workflow that we can use to make the site plan even more detailed.

For that, I'm going to turn to artificial intelligence. The satellite imagery, so the actual images that come down can also be used to analyze and detect constructed features like buildings, roads, or even natural features like trees. This analysis can also be run online in a browser using ArcGIS Online. So you can either do this in ArcGIS Pro or ArcGIS Online.

Before we were just using the satellite imagery to create 3D content. Next, we're going to use the satellite imagery to actually start to extract features that are already there. If I go to Esri's Living Atlas of the World and I search for DPLK, this stands for deep learning package. You can see all of the different deep learning packages that are accessible and free to users of ArcGIS.

One of these deep learning packages is the Building Footprint Extraction Model. So what this is going to do is it's going to analyze imagery from high-resolution satellites, or airplanes, or even drones. And it's going to create boxes or footprints for buildings.

So here I am in ArcGIS Online. I created a new map. And I'm going to pull in the image, the single image created from my Blacksky acquisition. Next, I'm going to go to my Analysis tab, and just to go down to Use Deep Learning, Detect Objects Using Deep Learning. For input layer, I'm just going to input that raster image.

For the model I'm going, to go to the Living Atlas, search for building footprints. And then select that model that we were looking at before. I'm going to keep everything else as default, give it an output name, and hit Run. This is going to run inside of ArcGIS Online. It's going to analyze this imagery from top to bottom. And it's going to extract building footprints from the imagery.

It's going to save those building footprints in my ArcGIS Online account, which I can then access through InfraWorks. All right. So let's go back to our InfraWorks project. Inside of InfraWorks, I can connect to my ArcGIS Online account and navigate to the building footprints that were saved after it ran its analysis. So here I'm going to deselect some of these other layers. I'm going to create a buildings layer using this objects detected layer. And now it's going to pull in all of my building footprints as structures on the island. Look at this. Isn't this incredible?

This is rough, I'll admit. But again, this is how powerful it is to have this type of automated analysis done completely remotely. This is an island. This would take me a bit to get to, a ferry even. But I can start to generate a site plan, including 3D data, buildings, roads completely automated using AI and machine learning.

So let's recap. Commercial satellites have become cheaper than ever to design, launch, and operate. Photogrammetry workflows that we've previously associated with aircraft, and drones, or even terrestrial reality capture can also be used with satellite imagery. A lot of the workflows are exactly the same. Just because the satellites are capturing data in very similar ways, they're just a lot higher up.

In this workflow we saw how we could use a combination of ArcGIS and Autodesk products to quickly and remotely create a site plan of an entire island using satellite imagery, again, in what 93, 95 minutes from start to finish.

I hope that this workflow not only gets better and more scalable over time. But I hope that this helps organizations like those here at Autodesk University to think about how we can perform reality capture or pursue projects in areas of the world that we might not have budget to get to or maybe it's difficult to get to. Think like data centers, or dams, or construction, road construction projects. In places of the world that are relatively difficult to get to, we can now use commercial satellites and off-the-shelf shelf workflows, no custom scripting or anything like that-- off-the-shelf the shelf workflows to generate accurate site plans.

Now, I will never say that this is here to replace survey and surveyors. But I hope you understand that in the pursuit phase of projects or even just in the preliminary stages of projects, having this capability is really, really powerful. And with that, I would like to thank you for joining and you can hit me up on LinkedIn, Jeremiah Johnson here at Esri, and hope you guys have a great rest of Autodesk University. Thanks.

______
icon-svg-close-thick

Cookie preferences

Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

May we collect and use your data?

Learn more about the Third Party Services we use and our Privacy Statement.

Strictly necessary – required for our site to work and to provide services to you

These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

Improve your experience – allows us to show you what is relevant to you

These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

Customize your advertising – permits us to offer targeted advertising to you

These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

icon-svg-close-thick

THIRD PARTY SERVICES

Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

icon-svg-hide-thick

icon-svg-show-thick

Strictly necessary – required for our site to work and to provide services to you

Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
Digital River
We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
Dynatrace
We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Customize your advertising – permits us to offer targeted advertising to you

Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

Are you sure you want a less customized experience?

We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

Your experience. Your choice.

We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

May we collect and use your data to tailor your experience?

Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.