Good afternoon.

Could you please let me know which areas were reverted so I can look into them?

Thank you,
Helena

Good evening,
If you could provide me an email address or other means to upload files, I would be happy to share with you a screenshot that shows where the shapefiles align with DigitalGlobe Premium Images available in JOSM for Siavonga. Additional structures may be drawn in, but this is likely due to more recent imagery than that available in JOSM, and thus more accurate and useful for on the ground work. I will also point out that the houses drawn will be visited and corrected by field staff recording spray coverage, and "ground survey" is recommended by OSM to supplement aerial images (osm.wiki/Using_Imagery#Matching_imagery_using_different_editors). I can also share the licensing agreement in the same way. As far as revisiting other areas, we are making a sizable contribution to mostly unmapped places in Zambia, and as with most work we do have deadlines; we would appreciate any assistance from OSM's side to ensure that clean, recent data is available. We are discussing best practice with our partner for OSM for areas of overlap, including those changesets that are still problematic.
Thank you.
Helena

Good morning Michael,

I can look into this, but the DigitalGlobe Standard images available via JOSM are already match the features we have drawn? That is, we could have created the same shapefile in OSM as it's the same source.

Warmly,
Helena

Good morning,
Although it's large amount of data, it's not an import in the sense referred to in the Wiki. We had a team of enumerators drawing houses in QGIS using DigitalGlobe images, and are uploading that information in batches. It was preferably logistically to do in QGIS for data cleaning and aggreagation, but batches are also cleaned against existing OSM data before uploading to prevent duplication and overlap (i.e., areas with previously drawn structures). These uploads were done in partnership with OSM, who we are working with on this project.

Please let me know if this answers your questions, and if I can provide more information. This response also applies to users Annie Martin (anniecmar), Frazer Bwalya (fbwalya), Aimee Edmondo (aedmondo), and Zaccy Chitoshi (zchotoshi), or anyone tagging #akros/Akros.

Thank you,
Helena

Also, I work for Akros Global Health, hence the Akros tag to help differentiate structures enumerated with the images we downloaded with data previously existing in OSM.

Thank you, and of course. They are imports; we're doing a project that maps houses and other structures in Eastern Province to target inrdoor residual spraying for malaria. We've done similar work, but this is my first year on the project. Structures were drawn in QGIS using images from DigitalGlobe EV Webhosting as recently as September, and were cleaned for accuracy before being imported, and then compared to existing data to remove duplication in areas with existing house data. The project has quick turnaround times so we've done most importing in the last 24 hours, hence the high input. Another administrator recommended more detail in commenting, which was sacrificed initially in the interest of time, but I've tried to add it to the last few changesets.

Feels like days! Thanks, I can add more detail; as you may suspect from the quick rate of upload, we're on a time crunch to upload structure files for a malaria spray project in Eastern Province Zambia, so neglected comments (but not quality efforts). I have two more to upload this morning, and I'll try to add more detail. Thanks for the quick response to the uploads.

Hi bdiscoe, I'm having trouble viewing the structures in my browser, but I recall uploading this changeset. The data is an import; the structures were delinated offline in QGIS using recent images downloaded directly from Digitalglobe EV Webhosting. However, in some cases, there was conflicting with existing structures in OSM, so I deleted duplicated structures from the existing layer but kept those that showed areas not previously uploaded into OSM. In this case, the structures overlapped frequently with the area with roads, which was cleaned to prevent duplication, but did not in the other two thirds.