Ok, just I had to re-write more than just that one section to make it
coherent. Hopefully the page has a bit more logical structure now.
https://wiki.openstreetmap.org/wiki/WikiProject_Canada/Building_Canada_2020
Comments and edits welcome!
On 2018-01-29 09:26 PM, Matthew Darwin wrote:
I
I will re-write the "project management" section of the wiki page to
align with this discussion.
On 2018-01-29 09:17 PM, john whelan wrote:
and I think I agree with Pierre the best approach would be to do it
a step at a time using experienced local resources.
We do need to engage with high
and I think I agree with Pierre the best approach would be to do it a step
at a time using experienced local resources.
We do need to engage with high schools and the Universities but it is
difficult with the resources available. There is some material available
+1
Unless someone has lots of $$$ to throw at OSM work (which could then
fund full time coordinators, trainers, lawyers, etc), the only way I
see to coordinate is to approach it like how OSM in Canada was build
up to now... distributed model with local groups doing what makes
sense for their
Effectivement, on en revient aux discussions d'il y a quelques mois. Nous avons
indiqué dès le départ que ce projet était très ambitieux et qu'il y avait des
risques importants sur la qualité de la données si on s'appuyait principalement
sur des groupes inexpérimentés via les universités, etc.
The idea behind the building project is good. Basically you need a
mixture of accurate building outlines and tags. From there the
statisticians can work their magic. This is true in Canada as well as
other parts of the world. With OSM buildings and tags combined with open
source stats
On Jan 29, 2018, at 2:35 PM, Stewart C. Russell wrote:
> On 2018-01-29 04:37 PM, OSM Volunteer stevea wrote:
>>
>> OSM is delighted to receive building data in Canada, truly we are.
>> (Provided they are high-quality data). I have heard the process of
>> entering data into
On 2018-01-29 04:37 PM, OSM Volunteer stevea wrote:
>
> OSM is delighted to receive building data in Canada, truly we are.
> (Provided they are high-quality data). I have heard the process of
> entering data into OSM, especially "bulk import" OD (which must match
> license compatibility against
Précision, Les missions aériennes permettent de produire des images de grande
qualité. On y associe des équipements LIDAR qui émettent un signal vers le sol
pour mesurer la distance. Aussi bien la technique LIDAR que de petits drones
sont aujourd'hui capables de produire des modèles
Um, "dyed-in-the-wool."
Steve
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On Jan 29, 2018, at 12:15 PM, john whelan wrote:
> ·NRCan is working on a methodology to extract building footprints,
> including topographic elevation and height attributes, from LiDAR
> Traditionally OSM has not been happy with this sort of thing. The accuracy
I think my concern at the moment is how to handle these in an acceptable
manner to OSM.
It would seem Stewart has some confidence in the data and I suspect you
have yourself.
So given a benediction by the mailing list to go ahead we would need to go
through the import process.
My gut feel would
Bonjour John
Les spécialistes d'imagerie produisent des couches de données assez précises à
partir d'imagerie LIDAR ou de drones, incluant, immeubles, cours d'eau et
occupation du sol. Ces images offrent qualité et précision. Des techniques de
classification, interprétation, correction
On 2018-01-29 03:15 PM, john whelan wrote:
> ·*NRCan is working on a methodology to extract building
> footprints, including topographic elevation and height attributes,
> from LiDAR
>
> * Traditionally OSM has not been happy with this sort of thing.
> The accuracy can be poor.
If you
Can't speak for the rest of the country as such, but I do know that the
imagery quality in Newfoundland is rather poor. Recognizing building shapes
would technically work, but the result would be poorly aligned boxes, not
accurate house shapes. We also do not have a local working group as far as
I
·
*NRCan is working on a methodology to extract building footprints,
including topographic elevation and height attributes, from LiDAR*
*Traditionally OSM has not been happy with this sort of thing. The
accuracy can be poor.*
*We probably need to think about this since the BC2020i project
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