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Hi Jon,<br><br>
<x-tab> </x-tab>How did
that work out in Haiti? Was it just for reconnaissance of damage or
for georeferenced mapping? I would think that the data would be
collected to suit a specific purpose.<br><br>
<x-tab> </x-tab>
Reconnaissance, eye in the sky flying is relatively easy to do, good
georeferenced imagery is a few steps up from that. Not sure how
well crowd sourcing would work for that.<br><br>
<x-tab> </x-tab><x-tab>
</x-tab>Cheers . . . . .
. . . Spring Harrison<br><br>
<br><br>
At 13-05-2015 17:57 Wednesday, john whelan wrote:<br>
<blockquote type=cite class=cite cite="">HOT already has some experience
of drones in Haiti using volunteers. If we can grab the images from
them then I'm sure they can be processed in a similar way to the way they
are being done in Haiti, we just need to work out what to do with the
data. The sensors I strongly suspect just use a different part of the
electromagnetic frequency, infra-red / UV for example.<br><br>
Crowdsourcing bit is more map the outline of the fields and give some of
the programmers and GIS people something to play with. Initially if we
can get 20% of the gains for 1% of the cost of a commercial system then I
think its doable and we can build on that. If it works then there will
be a lot of people very interested in mapping their bit of the world in
OSM to get the benefits. <br><br>
I just float ideas sometimes.<br><br>
Cheerio John<br><br>
On 13 May 2015 at 19:22, Springfield Harrison
<<a href="mailto:stellargps@gmail.com">stellargps@gmail.com</a>>
wrote:<br>
<dl><br>
<dd>Good thoughts John,<br><br>
<dd>This is well underway with much hardware and software having been
developed. As with everything, it has challenges. Googling should
turn up tons of info on presion agriculture and crop health. <br><br>
<dd>The cameras, drones and image processing require fairly high
technical knowledge, not likely a crowd activity. <br><br>
<dd>Drones have many other uses and may be useful for reckon/mapping in
the Nepal disaster. They might be useful to augment helicopter
reconnaissance and as a local eye in the sky for ground teams.  I have
a back pack drone with an HD camera which can do local inspections for
about 20 min. per battery. Very good for inaccessible areas. <br><br>
<dd>Drones will be our friends unless misuse brings an early demise.
<br><br>
<dd>Cheers . . . . .  Spring Harrison<br>
<dd>Samsung Tab 4<br>
<dd>On May 13, 2015 4:00 PM, "john whelan"
<<a href="mailto:jwhelan0112@gmail.com">jwhelan0112@gmail.com</a>>
wrote:<br>
<dl>
<dd>I created a grid as a separate data layer using JOSM and saved it to
my computer. I pull it in when I need it. The grid interval is based on
my preferred zoom level.<br><br>
<dd>Tom Taylor<br>
<dd>TomT5454<br><br>
<dd>On 12/05/2015 7:45 AM,
<a href="mailto:miiick@yahoo.com.au">miiick@yahoo.com.au</a> wrote:<br>
<dl>
<dd>Dear everybody,<br><br>
<dd>I am looking for suggestions on how different people ensure that
they<br>
<dd>have looked at the entire contents of a mapping square. e.g. How do
you<br>
<dd>ensure you have looked at the whole square and found all
buildings.<br><br>
<dd>At the moment I do a lot of panning and zooming and cover a square in
a<br>
<dd>fairly random manner. I would like to have more structured method
to<br>
<dd>ensure I have covered a square. Something like a transparent
grid<br>
<dd>overlay for JOSM. I know that a task can be split and I have done
that<br>
<dd>to a few squares but have also worked on larger squares.<br><br>
<dd>I am using JOSM and am able to figure out how to use all of the<br>
<dd>functions, sometimes I just don't know what function I am looking
for.<br><br>
<dd>Thanks,<br>
<dd>Michael.<br><br>
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