Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Road Alignment: Metro Manila #12

Closed
govvin opened this issue Feb 17, 2018 · 8 comments

Comments

@govvin
Copy link
Collaborator

@govvin govvin commented Feb 17, 2018

image
Positional accuracy: light blue (<7m), yellow (7-10m), red (>10m)

Issue

Based on Kaart GIS analysis, the Philippine road network data has positional errors (~3-17m) when compared to existing track logs (OpenStreetMap and Strava), and may also include incorrect topology that does not match aerial imagery.

To Do

  • contact the local OSM mailing list and present the proposed road realignment strategy, for suggestions and feedback.
  • set-up a tasking manager project
  • amend project, based on community feedback, if any. make the task public ?
  • @gowin to run task, monitor issues, and coordinate closely with @ralleon

Proposed road realignment strategy

  1. Where available, use Bing as baseline, but verify its accuracy by comparing with SatNav (OSM track logs, Strava heatmaps) data. Same applies for any other available aerial imagery (e.g. Mapbox, Digital Globe Digital, ESRI World Imagery).
  2. Publish offsets to the Imagery Offsets Database (IODb). Deprecate IODb entries, when necessary.
  3. For grid networks, attempt to offset data to match imagery. If not successful or practical, retrace the area.
  4. Realign all other roads, correct topology errors, and mark as finished.

Coverage

  • Metro Manila, Philippines

Guidelines

Data Sources

  • Public imagery (Bing, MapBox, Digital Globe, ESRI World)
  • Public traces (OSM track logs, Strava heatmap)
  • Street-level imagery (Mapillary, OpenStreetCam, Pic4Carto)
  • GIS imagery analysis by Kaart

Validation and Error Detection

The contributors will visually check for errors together with using JOSM validation warnings prior to committing the changeset.

In addition, the contributors will review their work in accordance with the task guidelines including the OSM Wiki and LearnOSM validation conventions.

Contributors

The project is limited to OpenStreetMap contributors adept in JOSM, with advanced mapping skills.

@govvin govvin created this issue from a note in Road Network Improvement (To Do) Feb 17, 2018
@govvin govvin added the high label Feb 17, 2018
@govvin

This comment has been minimized.

Copy link
Collaborator Author

@govvin govvin commented Feb 21, 2018

Example of task with a mis-aligned bridge, as seen from aerial imagery, and detected by data analysis.

image

@govvin

This comment has been minimized.

Copy link
Collaborator Author

@govvin govvin commented Feb 21, 2018

Data analysis don't always catch mis-alignments, like this one.

image

@ralleon

This comment has been minimized.

Copy link

@ralleon ralleon commented Feb 21, 2018

metromanila bing-strava verified accurate alignments

I tried to find fault/misaligned imagery with extensive observations in this area, but Bing (though cloudy in some parts) is very well aligned with Strava within this boxed imagery. I cannot find any significant anomaly. Good works on Bing (in this boxed area), unlike Digital Globe which have many distorted/stretched images found.

Boundary: Generally from upper Quezon City/Kalookan (on the North); On the East up to Batasang Pambansa in Quezon City, left of Marikina River up down to Taguig (lower righ corner), but up to NAIA runway only on the South.

This will save a lot of time on workflow (in fact I don't recommend aligning and interpreting partial GPS data, nor individually interpret Strava for localized alignment). I HIGHLY RECOMMEND that we should just simply align all OSM data exclusively on Bing within the said boundary, as well as align all other imagery (Mapbox, Digital Globe, ESRI on Bing) for the latest map feature update in the area.

The effort on this particular project should focus on establishing accurate offsets on IODb for Mapbox, Digital Globe, ESRI referenced to Bing (on its default Zero,Zero offset) for ease of tracing and realigning streets and adding new roads.

@ralleon

This comment has been minimized.

Copy link

@ralleon ralleon commented Feb 21, 2018

image

@govvin

This comment has been minimized.

Copy link
Collaborator Author

@govvin govvin commented Feb 21, 2018

Determining offsets, and recording them on IODb is a secondary goal @ralleon

@govvin

This comment has been minimized.

Copy link
Collaborator Author

@govvin govvin commented Feb 22, 2018

Take advantage of AI with Strava's iD Slide, which looks very helpful for major roads, but must be used with caution:
image

  • Check intersections
  • Only use on roads with very high heatmap values

Use the following for the Custom URL Utilsplugin2: https://strava.github.io/iD/#background=Bing&map=19.00/{#lon}/{#lat}

@govvin govvin moved this from To Do to In progress in Road Network Improvement Mar 21, 2018
@govvin

This comment was marked as resolved.

Copy link
Collaborator Author

@govvin govvin commented May 1, 2018

This issue was moved to #9

@govvin govvin closed this May 1, 2018
Road Network Improvement automation moved this from In progress to Archived May 1, 2018
This was referenced May 1, 2018
@govvin govvin reopened this May 1, 2018
Road Network Improvement automation moved this from Archived to In progress May 1, 2018
@govvin govvin closed this Jun 30, 2018
Road Network Improvement automation moved this from In progress to Archived Jun 30, 2018
@govvin govvin removed the high label Aug 10, 2018
@govvin

This comment has been minimized.

Copy link
Collaborator Author

@govvin govvin commented Aug 10, 2018

Grab's OpenStreetMap data team has been in touch, and is co-ordinating their effort to identifying missing roads, and improving road geometry in Metro Manila. They've also adopted the use of the Imagery Offset Database to maintain mapping consistency across the mapping community.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
2 participants
You can’t perform that action at this time.