Mapping Mt. Ushba – How to create a high-quality topographic map from open data using free software
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Number of Parts | 351 | |
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License | CC Attribution 3.0 Unported: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. | |
Identifiers | 10.5446/68933 (DOI) | |
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Production Year | 2022 |
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00:00
Open sourceProduct (business)MappingOpen setTexture mappingSoftwareTexture mappingProduct (business)MappingOpen sourceStandard deviation
00:23
Universe (mathematics)Latent heatComputer animation
00:40
TowerHypermediaSlide ruleTowerMappingArea
00:59
Digital signalData modelAudiovisualisierungAirfoilAreaElectronic program guideInformationMappingOpen setSweep line algorithmTexture mappingServer (computing)Proxy serverMotion captureArithmetic progressionSource codeTrailData storage deviceProduct (business)Transformation (genetics)Visualization (computer graphics)BlogQuantum stateComputer animation
02:35
Texture mappingField (computer science)MappingInformationComputer animation
03:06
MeasurementPoint (geometry)Web pageTotal S.A.Storage area networkComputer-generated imageryDigital signalFrequencyDuality (mathematics)Source codeSlide ruleActive contour modelLine (geometry)Plug-in (computing)Hill differential equationMetreOnline helpRaw image formatSpline (mathematics)Medical imagingFrequencyState observerPresentation of a groupAreaProcess (computing)Computer animation
04:11
MappingMultiplication signStudent's t-testFreewareComputer animation
Transcript: English(auto-generated)
00:00
Thanks for introducing me. So I will try to give you the most important things from the paper I wrote with my colleagues together about mapping this big mountain that you see here with the iconic double peak. It's an Alpine Club map. It's something like a gold standard in a map production. So we try to do the best with open source software.
00:23
So where we are? We are in Georgia, not in the US. We are in the Georgia country next to Russia between the Black Sea and the Caspian Sea. So red is here. And we are in a specific region called Svaneti, situated in the greater Caucasus, in the middle of nowhere in the mountains.
00:40
So what's specific about this region? Yeah, it's about mountains, medieval villages, it's UNESCO heritage, because of these old villages, quite medieval, and the medieval towers. So still special, tourists like to come here, hikers, so there's a demand for a great map for the area. So what we did? Yeah, we tried to do this with Open Sweep Map. What's the new thing?
01:07
What was interesting for us? We do this on a daily updated map preview that we built for ourselves. A preview that we saw the progress of mapping, and also like a style preview for us that we're not having a final map in the end. We see already now how it can be looked.
01:24
So we do this by mapping, improving Open Sweep Map, we have a workflow for map production, generalization, the working map that you can see here in background, capture data on ground, give it back to Open Sweep Map, and we see on the next day, or the next day, the updated map preview for us.
01:41
What's behind? It's awesome to PGL SQL behind for the data transformation, PostGIS as data storage, and the generalization through GIS, a server or desktop visualization, and the map proxy keeps us as cached map. The other thing, how to find missing ways. Just go into nowhere in the mountains how to search it. We try to look
02:06
on old maps, other maps, and collect it as for us, there are probably missing ways and also names for Open Sweep Map. And then we went in place and try to check this. So our old maps, hiking maps, topographic maps, guidebooks, blocks, GPS tracks,
02:22
and sometimes Open Sweep Map itself with some hidden features and GPS tracks is the source of information we try to check in place. So we're in place this year and last year and try to improve Open Sweep Map. Yeah, another great idea of what has helped us, we make from our map review a field book, we have something like an atlas where
02:45
you can see the map already, you can see it overall if there is often bad weather, don't worry, it will get wet. Yeah, it's hard. But we built an atlas so we can go out with this, with the GPS devices and collect our information, taking notes, and there's also documentation for mapping in it, everything together.
03:07
Another thing we have to do because we need a customized digital elevation model, we need control points. How to measure this? We have these great things that professionals do. No, not practical on these mountains. We go for a better GPS device, it's the Garmin GPS Map 66 SR, it measures on dual frequency and you get raw observations out of it.
03:30
You can do post-processing and then you get below one meter. That's quite enough for us. So we don't need centimeter or millimeters, decimeters, and meters are fine.
03:42
We have the NASA Ames Stereo Pipeline like in the last presentation used. We have got images from planet just as a grant that we can make our own digital surface model and we are going for our own digital elevation model for this area. Which we will visualize with the help of QGIS, with the Carica plug-in, and also as a tool for making rock edges, which is called Piotr.
04:12
So, that's about all this behind, but you need people. You need motivated people. We found students, colleagues, and their friends who helped us, and also these nice t-shirts.
04:25
So, we went out and thanks for everyone helping us to make this map in their free time. Thank you very much, you're just on time.