There is a little road map planning about this part of the geoharmonizer project. It's more like an experimental part because we focus on the new technology like VR and AR and a

lot of the fields now join this technology and trying to do their best with the field of selection. And we also want to do this as a visualization technology for the GIS data and specially now for the DEM models and land cover models.

So we try to connect this new technology with this data and this roadmap shows how we split all mine targets into the parts.

We already done the three big steps for that and the STRIPS was a feasibility study for each technology because we will develop two separate program applications. One will be VR. It will be for computers and you can use it as a normal XFL with, I hope, with every HDMI VR glasses.

So it will be accessible for almost all users with VR headsets.

And the second application will be supported by RealityKit AR. It's from iOS. We specially target to the iOS devices because in the new iPads, they add the

LIDAR sensor and for AR and for anchor of the AR models, it's a super improvement. So it looks really good now and it's working really well. So this is our target and this is why we use iOS. OK, in progress now, we already done VR demo. You can try it with our colleagues.

They already prepared a stage for it and we plan it until the end of the year, do both application and release it as a better application as full.

Now in VR demo, it's restricted features inside and it's only the Netherlands inside. But we are planning to put inside also the Czech Republic. This is how feasibility study work. We determine our data sets.

We use the DM model, the classic model, the creative and trying to put it in the 3D objects, because as I said, this is a new technology and a lot of the engines. What is working with virtual reality as not supporting the creative and a lot of the classic model.

So we need to find a workflow how we put the old data sets inside. So after that, we know how the data flow is working and we prepare all of the data for these two applications.

What we will develop. We found workflow that we will share with us. We will do a GitLab folder and put everything inside. Also, Martin did some scripts to the QGIS for the preparation of data.

And we will also share this also that we will do a really simple tutorial how with open source data, people can do the visualization of this same kind of data like we use.

So this is a classic part that we split to the tiles all over the country. Here is the Czech Republic and we split it into 118 tiles. After that, we generate the DM model for every tile.

We use the 3GS plug-in into the QGIS that he converted the DM go to the 3GS. It's a GLTF. After that, we generate for every tile the PNG tiles for a lens cover.

And we covered a 20 year of lens cover sets on it. And finally, we use the OpenStreetMap for every tile and it's working like the basic alpha texture. So in the application, it's working like in the normal map viewer that if you start to viewing the lens and select the lens cover.

So you can use the map opacity and blend it with the lens cover. So you know where you are and where the data is situated.

And now it will be really quick because I hope everybody will try it. Who is in Ireland? And this is how the place looks like. Just only the small navigation that you know where everything is.

In the front here, you have the tile selection. It's working like the main menu where you select the tile in the right side. There will be an overview if you select the right tile and if you really want to use it. And after you know that this is a tile, what you want, it will appear in two stages here and here.

I will skip a little bit for it. This is the main menu, how it looks like. You have the laser pointer in your hand and you will select the tiles. After that, it will appear, as I said.

And there is two stages. One, as I said, as an overview, when you can walk around, it's a small model, but you can step on it and just watch it. And you can view the elevation of the model because one is beveled.

So the shadow is doing a great job here. And the second stage is the comparison of the tiles. So you can choose one data set in the left side and one data set on the right side. And you can comparison that.

And there is one more stage. It's now in the demo. So we have only one tile here and we also have the animation that all 20 years will start after five seconds. I think it's set and the animation will start and it will be like a loop.

So every 20 years will go five seconds after five seconds. This is the beveled model that you can recognize the height of the model. This is how it looks like the AR application, the second application. We already developed some demo, but it's too hard to implement it now because it's more complex than the VR application.

So this application you will see in the next year in Prague in conference. And it will be ready for you all Czech Republic in the AR data set.

This is only for imagination how it will look like. This is our expected outputs. I already said that it will be the two separate application AR, VR and it will contain Czech Republic and Netherlands.

Our application will support the new devices with LIDAR sensor because we think that the LIDAR sensor will add a lot of the companies inside of the phones, inside the tablets. And I think everybody will use it for AR because it's really improved the technology.

And what is important that we will do the final report and the tutorial and folder with all of the scripts that every user, because we use only the open source software and every user can download the data what they want.

And if they follow our tutorial and use our scripts, they can do this visualization that what they want. So this is this is in a short all from me. I hope everybody will try it and look on it because, as I said, this

is the new technology and a lot of the fields are connecting with this technology now. And I think it will be a future of the visualization of data from all over the world and a lot of the fields.