Thanks for sharing,
I will have a look. Seems to be an open project, with the freedom to
express ourself without any side effect on the ongoing project in Haiti.
Like I had with the missing map project.
All the best FredM
On 12/03/2016 10:13, Jean-Guilhem Cailton wrote:
Hi,
Here was the email to the [email protected] mailing list that you
apparently haven't received yet.
Please kindly let me know if you receive it this time.
Best,
Jean-Guilhem
-------- Message transféré --------
Sujet : Re: [HOT] A Fiji project for experienced mappers interested
in a new damage assessment methodology
Date : Thu, 10 Mar 2016 22:53:54 +0100
De : Jean-Guilhem Cailton <[email protected]>
Pour : HOT <[email protected]>
Copie à : [email protected] <[email protected]>
Hi,
The team at the Signal Program on Human Security and Technology at the
Harvard Humanitarian Initiative (HHI) who authored this BAR methodology
is collaborating on this project.
Interest in its results has been expressed by people who supply
information to the response effort.
Thank you Humberto for helping to define these projects, and to
OpenStreetMap Colombia for hosting them.
Two TM projects are available on OSM CO tasking manager, one for the
area of Rakiraki, which was severely affected, and which has already
been mapped in project 1558 :
http://tareas.openstreetmap.co/project/7
and one for the area of Ba, where buildings are still to be mapped :
http://tareas.openstreetmap.co/project/6
Both use post-Winston good quality Pleiades images (in the same TMS layer).
Hundreds of aerial photos of affected villages have been taken by the
Royal New Zealand Air Force, and others, and made publicly available
online by the Fijian Government.
A team of VISOV volunteers has already geolocated a number of them, by
comparison with satellite imagery, as well as other information about
damages, on this uMap :
http://umap.openstreetmap.fr/fr/map/fiji-damage-after-cyclone-winston_72342
and they can also be used as other sources of information, to know what
buildings look like in Fiji, from the ground, or from oblique aerial photos.
If you are interested in learning this promising methodology and
contributing to this effort, please get in touch. We are very interested
in following and accompanying closely these first steps, and to explain
better where it may be needed.
Best wishes,
Jean-Guilhem
https://twitter.com/jgVisov
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