Thanks Jean-Guilhem for making possible the extension of OSM-usable Landsat 8 imagery to the whole Guinea and Sierra Leone for this crisis response at the same two URLs :
tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs432/ {zoom}/{ x}/{y} tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs753/ {zoom}/{x}/{y} Merci à Jean-Guilhem pour avoir rendu possible la mise à disposition des images Landsat 8 sur une zone maintenant étendue à toute la Guinée Conakry et le Sierra Léone dans le cadre de cette réponse de crise. tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs432/ {zoom}/{ x}/{y} tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs753/ {zoom}/{x}/{y} ++ Nico On Sat, Mar 29, 2014 at 12:56 AM, Jean-Guilhem Cailton <j...@arkemie.com>wrote: > Dear All, > > The Landsat-8 mosaics have been extended to 22 images, and now cover all > of Guinea and of Sierra Leone (in addition to the same parts of Liberia as > before, and border areas of other neighboring countries). > > The URL are unchanged. You may need to refresh your cache to view the new > version. > > Best wishes, > > Jean-Guilhem > > > Le 28/03/2014 15:14, Andrew Buck a écrit : > > Hello again everyone, > > The task manager jobs for all of the main cities are coming along very > nicely. I have been amazed at how quickly the community responded to > these jobs. > > In addition to the jobs in the cities, there is also some mapping that > needs to be done over a wider area for context. In order to help > understand, model, and predict the spread of the disease it is useful > to have population data for all of the villages and also road networks > to help understand where infected people who travel might have > traveled through. We can help with both of these issues using the > combination of what high resolution imagery we have (Bing, Pleiades, > Orbview, etc), as well as some very recent LandSat 8 imagery over the > entire affected area in 2 different color combinations. These Landsat > layers were put online by JGC and show natural color in the "432" > image and a traditional "false color" image in the 753 layer listed > below. Both of these image layers were taken at the exact same time, > however the 753 layer shows the area in 3 different infra-red colors. > By using these two layers together it is possible to tell apart > objects that are the same color (like a village with brown roofs, vs a > brown field). In these images villages will appear brown in the 432 > layer and bright pink in the 753 layer. > > tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs432/ > {zoom}/{x}/{y} > > tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs753/ > {zoom}/{x}/{y} > > The best way I have found to use these is to load them both into JOSM > with the 753 layer listed above the 432 layer. Then, turn down the > opactiy (transparency) on the 753 layer to about 50 to 60 percent and > you should see the villages look quite apparent. To start with just > try this in an area where a lot of villages are already mapped to get > a sense for how to set up the imagery layers and what to look for. > Basically, the villages will be a bright pinkish hue with a kind of > "shimmering" look from the 432 layer underneath. > > Hopefully we can get maybe 5 to 10 people working on this over the > whole area we have Landsat for. I don't think it is worth creating > such a huge job on the task manager for this since it is such a broad > area. Just try to upload (and update) once every 1/2 hour or so. > Also, it would be a good idea to install the Geochat plugin for josm > and login to it as well as right clicking on the Geochat text box and > clicking 'show users on map'. This will let you see other Geochat > users in the same area. If all the people who work on this task use > that setup the risk of conflicts is basically 0. And finally, I am on > mumble if you have any questions about the setup of what to do. It > would be cool to have a room of people working on this together so you > can all share tips on there. > > Anyway, thanks for all the help so far and let's keep going on this > new stuff as well. If you plan to work on this, please just post a > short message to the list here when you start so I can get a sense of > how many people end up doing this. It is a bit tricky to set up, but > is a really fun thing to work on once you have it all set up. > > -AndrewBuck > > > > > _______________________________________________ > > HOT mailing list > > HOT@openstreetmap.org > > https://lists.openstreetmap.org/listinfo/hot > > > > > > _______________________________________________ > HOT mailing list > HOT@openstreetmap.org > https://lists.openstreetmap.org/listinfo/hot > > -- Nicolas Chavent Humanitarian OpenStreetMap Team http://hot.openstreetmap.org/ Mobile (FRA): +33 (0)6 52 40 78 20 Email: nicolas.chav...@hotosm.org Email: nicolas.chav...@gmail.com Skype: c_nicolas Twitter: nicolas_chavent
_______________________________________________ HOT mailing list HOT@openstreetmap.org https://lists.openstreetmap.org/listinfo/hot
