Robin LovelaceDec 29, 2022
Anyone know how to extract road width data from open access remote sensing data? This repo shows it's doable for rivers https://github.com/seanyx/RivWidthCloudPaper and methods should be x-transferable 🙏 Tagging #EarthEngine and #gischat people in the know!
GitHub - seanyx/RivWidthCloudPaper: A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images - GitHub - seanyx/RivWidthCloudPaper: A Google Earth Engine based algorithm that extracts rive...

GitHub
Show threadRobin LovelaceDec 29, 2022
There is substantial prior art here but unfortunately not much in the way of reproducible code with open access data. Example from @DLR_en: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58694/ + cc @CarlinoDustin for #abstreet-esque city sim.
DLR - Earth Observation Center - DLR-SkyScapes: Aerial Semantic Segmentation Dataset for HD-mapping

High-Definition(HD) mapping is in many applications from autonomous driving to infrastructure monitoring, and urban management essential for the understanding of complex urban infrastructure with centimeter-level accuracy. Aerial images provide valuable information over a large area instantaneously; nevertheless, no current dataset captures the complexity of aerial scenes at the level of granularity required by real-world applications. To address this, we introduce SkyScapes, an aerial image dataset with highly-accurate, fine-grained annotations for pixel-level semantic labeling.

Show threadRobin LovelaceDec 29, 2022
And for parallel discussion on the #FOSS todon, possibly more appropiate place to discuss this, see here: https://fosstodon.org/@robinlovelace/109597800326363022 amazing growth of that online community 🚀
Robin Lovelace (@[email protected])

Attached: 1 image Aerial/satellite imagery from Google and other providers is now good enough to allow estimation of road widths. Anyone with Google Earth Engine experience up for helping to figure our how? Existing codebase for rivers: https://github.com/seanyx/RivWidthCloudPaper #geo #geocomputation #geocompx

Fosstodon
Show threadRobin LovelaceDec 29, 2022
I suspect in many places the limiting factor will be high resolution imagery. Not in Switzerland where they understand the value unlocked by opening up key geographic datasets 🇨🇭
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RT @robinlovelace
Massive credit to the people in Switzerland who made this aerial imagery open access and freely available to all for research, innovation + more 🚀 See it on Google Earth Engine at https://developers.google.com/earth-engine/datasets/cat…
https://twitter.com/robinlovelace/status/1608539388513816576
Show threadgsapijaszkoDec 29, 2022
@robinlovelace The same in 🇵🇱 . :). All modern geo- datasets are open. But still wondering if there is a reasonable way to do it from ortho.
Show threadRobin LovelaceDec 29, 2022
@gsapijaszko do you have road width data?
Show threadgsapijaszkoDec 29, 2022
@robinlovelace If you are asking about public data, then yes: BDOT10k (The Topographic Objects Database) https://www.geoportal.gov.pl/dane/baza-danych-obiektow-topograficznych-bdot has the attribute pavement width (szerNawierzchni) in meters like in the picture.
Geoportal.gov.pl

Show threadRobin Lovelace
@gsapijaszko wow, this is amazing! Heads-up also @nowosad, you guys have good data!
Dec 29, 2022 at 9:28pmWeb