-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 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 -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.11 (GNU/Linux) Comment: Using GnuPG with Thunderbird - http://www.enigmail.net/ iQIcBAEBAgAGBQJTNYO3AAoJEK7RwIfxHSXbvMYP/1kK81CWkdyilVq5rylhipbO 1QjtzNproq10tP3UOJ3EubdNXPm/qibA+XpYMF5+5aFksGHgpMc/+Sb/rYLPqTZb KXrPlTG7y0VZjzJX3Loh1yDJdO6KRD/W9tk0x0obxNek1RC3VvtIHY+Wg5jyioAq p//RrwQqWHvDmsoTVioRvHL61my00pK3LFWcrTADBHNPl3jDTMZJvErWd0OIjgmI Chks4i6pTKJzufqb5a6O7/dATtIXS6bA0u7OfHlkb4SYwmK0iK+cKkpz4HiXJrj9 sPOgENrW56oB+Jvi1fcRvT+NnMr+OTwx9NvibT3WaLbByjUGsO/L6fQWqhXYaHJP Z+R3nIAUufxKIvBVF1riWkoTEx69kU/2D968jlM4as5aFYqrkLtd3uftsKPGJJk5 vV/CAUwwFarJJMF5ryxu10osvqkLoLLzzSV3Fx/fOQkDCcnREUWfIEO2DEXym5AU Ztp8X7ltwB5GjHYlNm2NQoYnO/JO/vjPcZzA8z1UxanFvaYbOqZia6tFOee6/0M1 pyiJfbKuDjmHwYUhrr2cieiJULCN50RnyS23DFkGgIMIW+ouEoHhbIW0K00q1iL5 n2GmitGX1jS5YaAwTCtJBS6EZ24QmA7KePQRO3bICIh2Jvf6E9sBEw7nLKBeCYpy uQ4tBXC2xv6RITb/PDJK =cr9v -----END PGP SIGNATURE----- _______________________________________________ HOT mailing list HOT@openstreetmap.org https://lists.openstreetmap.org/listinfo/hot
