Fwd: Re: [Live-demo] What common datasets do we need?

[Alex Mandel]

We do have OSM for that reason (amongst others). From what I understand
people are looking for things like AirPhoto, Satellite data at the scale
of a few km or miles. Maybe a DEM, and some data for interpolation type
uses.

The problem we haven't tackled is how to make the context local to the
conference each year. It's no problem with OSM because that's
everywhere, but NAIP (1m Airphoto of the US) is not. If we can settle on
something from Landsat, MODIS or another of the public domain satellites
then we could setup some auto processing to get that on. Could also do
SRTM for elevation, though I think OSSIM might already do that?

What I'd like to see is a list of the type of data people want, so that
we can try to find data that meets those needs and easily replace with
more local stuff each year when the conference moves.

Thanks,
Alex

On 05/26/2011 05:17 PM, Cameron Shorter wrote:
> Comments from Nathan Kelso, ...
> 
> -------- Original Message --------
> Subject:     Re: [Live-demo] What common datasets do we need?
> Date:     Thu, 26 May 2011 20:13:33 -0400
> From:     Nathaniel Kelso <nvkelso at gmail.com>
> To:     Cameron Shorter <cameron.shorter at gmail.com>
> 
> 
> 
> I'll have a deeper read. The basic approach NE takes is to have scale
> sets. I would suggest also some more local data than natural earth,
> the problem is always "I don't know this place. It's not similar to
> where I live." three other scales, 20k, 250k, and 1,000k are the next
> logical steps. OSM at 20k. DCW at 1,000k, perhaps some US national
> atlas at 1:250k.
> 
> Sent from my handsful device.
> 
> 
> 
> On May 26, 2011, at 20:05, Cameron Shorter<cameron.shorter at gmail.com> 
> wrote:
> 
>>  Bob, Nathan, and others,
>>
>>  I'm interested to hear your thoughts on the suitability of Simon's
>> datasets, described below, for use as a common OSGeo-Live dataset.
>>
>>  On 27/05/11 09:05, Simon Cropper wrote:
>>>  On 27/05/11 08:36, Cameron Shorter wrote:
>>>>  On 27/05/11 07:27, Bob Basques wrote:
>>>>>  Personally I believe there needs to be a set of data for various
>>>>>  levels of resolution as a global set, and I don't see the GE datasets
>>>>>  filling this need entirely (yet), Maybe the GeoMoose datasets can be
>>>>>  used in some of this capacity. The reason I thought of putting them
>>>>>  into their own containers (folders) was to provide a flexibility for
>>>>>  others to use if they so desired. They can also be easily removed in
>>>>>  the future. I'm also planning on building separate Viewers for each,
>>>>>  but I can also build a composite viewer. Each of these using a single
>>>>>  frontend jump page (index.html) to get to.
>>>>
>>>>  Bob,
>>>>  If the Natural Earth dataset doesn't provide data in the right
>>>> format to
>>>>  highlight GeoMoose examples, then we should probably source another
>>>>  common dataset which can be used by multiple applications.
>>>>  I remember Simon Cropper had similar comments a while back when he was
>>>>  creating tutorials for gvsig.
>>>>
>>>>  So my question is, what dataset should we provide? (The data should be
>>>>  suitably licenced, either public domain as per Natural Earth, or
>>>> another
>>>>  open licence like Creative Commons).
>>>>
>>>>
>>>>
>>>
>>>  Hi Guys,
>>>
>>>  1. I am not part of the live-demo at list.osgeo.org group so not sure
>>> it will get to the list so you may wish to repost this response there.
>>>  2. I have collated data suitable for use on the live-demo CD either
>>> to be distributed with it or referenced and downloaded on demand as
>>> the current dataset is done. All the datasets collated are CC-BY-SA
>>> and are at a resolution that most Natural Resource Managers in
>>> Australia use. Check out this description of what is available here....
>>>
>>>  http://gis.fossworkflowguides.com/#data
>>>
>>>  3. Cameron, from a users point of view I believe that most people
>>> trialling the software on the live-demo-CD want to play using
>>> information at a resolution they would typically encounter. In my
>>> experience this involves local to occasionally regional datasets. It
>>> is rare that people use continental or global datasets. Things like
>>> what I have provided and some of the USA sites with high resolution
>>> imagery and vector data are ideal.
>>>
>>
>>
>>  --
>>  Cameron Shorter
>>  Geospatial Solutions Manager
>>  Tel: +61 (0)2 8570 5050
>>  Mob: +61 (0)419 142 254
>>
>>  Think Globally, Fix Locally
>>  Geospatial Solutions enhanced with Open Standards and Open Source
>>  http://www.lisasoft.com
>>
>