Hi Celine,

I don't know how this process works in practice, but my understanding is
that Digital Globe often provides pre-/post-disaster imagery for free.
(Digital Global already makes some of their imagery available for OSM, and
previously often supplied images for other humanitarian campaigns.)

Bjoern

On 12 September 2017 at 00:04, Celine Jacquin <cel...@gmail.com> wrote:

> Hi everybody
>
> As you know, the little group of OpenStreetMap México is leading the
> compilation of data to create projects with HOT team and try to coordinate
> data integration with local authorities, and data creation in damaged
> villages and town.
> We just had today a call with the *Estrategia Digital Nacional (National
> Digital Strategy -federal office for data and technologies) *where they
> asked us orientations to create the better data on the field, in a good
> format, and useful directly in OSM or compatible with OSM.
> Considering the context: town totally destroyed, no access to prints, very
> low capacity for using apps, few and dispersed staff, from a lot of
> different institutions, we ask you to share all your experience on this
> theme.
>
> What have been used in other big disasters to localize destroyed
> buildings, and local community resources (shelters, houses that share their
> services, kitchen, etc..)
>
> (1) They could help with some drone images (can you help with orientations
> to realize the images in the correct format and integrate it to Tasking
> Manager?
>
> (2) Field Apps/tools we oversee are:
> - MapsMe, but it accepts only some types of points
> - twitter with precise ubication  and some categories described in the text
>
> We think OSMand is not friendly enough to be used in the field.
>
> And we think suggesting them to involve citizen, institutions/government
> local staffs, and reporter/ journalists to create data through these
> different channels.
>
> Please, any orientation on proved ways to produce the better information
> in the worst conditions, are very welcome.
>
> Thank you in advance
>
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> https://lists.openstreetmap.org/listinfo/hot
>
>
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