[HOT] Mali Activation Follow-up

Pierre Béland pierzenh at yahoo.fr
Mon Feb 25 01:34:41 UTC 2013

Humanitarians are starting to access villages in north of Mali and we coordinate with them to support their activities.  HOT contributors are working on datafiles for various Public services, trying to geolocate these infrastructures.  We are working closely with OCHA coordinator in Bamako and started last week discussion with Clusters. The first discussion was with the WASH coordination Cluster for water and sanitation. We have exchange about our experiences geolocating various infrastructures and ways to improve coordinattion eand exchange of information.
Tomorrow at 16:30 GMT a second discussion is scheduled with the Education Cluster on the irc   irc://irc.oftc.net/hot.

In such a vast and complex territory to map, we have made substantial progress. But there is still a lot to do. Thanks to all of those who come on the irc, discuss and help in development of tools.

Detecting villages in the vast and semi-desertic territory north of Mopti is still a priority. Nicolas Alvarez of HOT has proposed to use Crowsource of Imagery recognition for villages and dams and developped an application.  While this is still experimental, it gives very interesting results.  Pierre Giraud have adapted the Task Manager to accept Special micro-tasks defined from the result of this Crowdsource exercise. Instead of having contiguous micro-task tiles, we have tiles only where villages were detected.

Others contributors are participate to the development on the  irc irc://irc.oftc.net/hot proposing various ways to deal with imagery recognition.  People with some expertise in Spatial analysis in QGIS could be of great help to analyze data produced by the Crowdsource application.

Map that shows the result of the Crowsourcing at 
GPX file result of the Crowdsource tool at http://harrywood.dev.openstreetmap.org/africaplaces/missingplaces_tm_198.gpx

You can contribute by mapping selecting tasks through the Tasking Manager. I invite you to test the
Task Manager job based on these Crowdsourcing results.

You can also pass the word that people with no experience can contribute by Crowdsourcing of Imagery recognition. This application is very simple. We either click on the image where we see a village, or click to move to the next image.
See http://stuff.povaddict.com.ar/mali-crowdsource/

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