Thanks. Because you cannot edit the Overpass query for an existing challenge, I 
created a new one that has the LPI imagery as default backdrop.
The challenge lives here: https://maproulette.org/mr3/browse/challenges/3387 
<https://maproulette.org/mr3/browse/challenges/3387> 
It has 9800+ tasks. 
I deleted the old one.
Thanks for the suggestions!
Martijn

> On Dec 11, 2018, at 5:31 AM, Andrew Harvey <and...@alantgeo.com.au> wrote:
> 
> I just checked again, it looks like you haven't corrected this yet, so a 
> friendly reminder it would be nice to have this fixed.
> 
> I think it's also a good idea to include the NSW LPI Imagery as the default 
> background layer for this task. I just filed 
> https://github.com/osmlab/maproulette3/issues/572 
> <https://github.com/osmlab/maproulette3/issues/572> in relation to this.
> 
> On Sun, 9 Dec 2018, at 4:53 AM, Martijn van Exel wrote:
>> Andrew  H-- correct and I wasn't suggesting that you amend it yourself :) I 
>> will make the update when I find a moment.
>> Andrew H/D -- thanks for pointing me to the import plan. 
>> --
>>   Martijn van Exel
>>   m...@rtijn.org
>> 
>> 
>> 
>> On Fri, Dec 7, 2018, at 17:29, Andrew Harvey wrote:
>>> On Sat., 8 Dec. 2018, 10:38 am Martijn van Exel <m...@rtijn.org 
>>> <mailto:m...@rtijn.org> wrote:
>>> That is a good point. The query would probably be easy enough to modify.
>>> Something like this...
>>> 
>>> [timeout:190];
>>> area[name=“New South Wales"]->.a;
>>> way[highway~"motorway|trunk|primary"][!lanes][!"lanes:forward"][!"lanes:backward"](area.a);
>>> out body geom qt;
>>> 
>>> Yeah but I don't think I can modify your maproulette challenge, are you 
>>> able to?
>>> 
>>> I think it needs to be pre-processed a bit more to weed out the very short 
>>> segments. And perhaps work on areas where lanes actually matter (urban) 
>>> first.
>>> 
>>> I was looking at how to slice that and got interested in the status of 
>>> administrative boundary relations for Australia. It seems to be 
>>> inconsistent, for example in South Australia there is pretty good (but not 
>>> complete) coverage of admin_level=6 http://overpass-turbo.eu/s/EmZ 
>>> <http://overpass-turbo.eu/s/EmZ> and even one admin_level=8 
>>> (http://overpass-turbo.eu/s/En0 <http://overpass-turbo.eu/s/En0>) but in 
>>> other states the admin_level=6 coverage is pretty sparse or absent 
>>> (https://imgur.com/a/gmUJs2r <https://imgur.com/a/gmUJs2r>, query at 
>>> http://overpass-turbo.eu/s/En1 <http://overpass-turbo.eu/s/En1> but watch 
>>> out, it’s a lot of data). If you all think this is useful to fix / complete 
>>> perhaps we can set up a page to coordinate. I’m happy to help. 
>>> 
>>> There's another thread ongoing on this list about importing suburb, 
>>> localities and LGA boundaries. 
>>> 
>>> -- 
>>>  Martijn van Exel
>>>  m...@rtijn.org <mailto:m...@rtijn.org>
>>> 
>>> On Thu, Dec 6, 2018, at 17:23, Andrew Harvey wrote:
>>>> Overall I think it's a great idea.
>>>> 
>>>> Could you filter out ways that have lanes:forward and lanes:backward?
>>>> eg. https://maproulette.org/mr3/challenge/3375/task/6686753 
>>>> <https://maproulette.org/mr3/challenge/3375/task/6686753> which
>>>> shouldn't need a redundant lanes tag as you can just add them up.
>>>> On Fri, 7 Dec 2018 at 10:49, Martijn van Exel <m...@rtijn.org 
>>>> <mailto:m...@rtijn.org>> wrote:
>>>>> 
>>>>> Hi folks.
>>>>> I created MapRoulette challenge asking mappers to look at aerial images 
>>>>> and add lane tags to major roads.
>>>>> https://maproulette.org/mr3/browse/challenges/3375 
>>>>> <https://maproulette.org/mr3/browse/challenges/3375>
>>>>> This particular one is for NSW but can easily be ‘cloned’ for other 
>>>>> regions.
>>>>> I wanted to get your opinion on this — good / bad idea? Can it be 
>>>>> improved? Smaller regions? Any feedback welcome.
>>>>> Martijn
>>>>> 
>>>>> PS the Overpass Query this is based on is:
>>>>> 
>>>>> [timeout:190];
>>>>> area[name="New South Wales"]->.a;
>>>>> way[highway~"motorway|trunk|primary"][!lanes](area.a);
>>>>> out body geom qt;
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