Thanks for the summary. Well done! Ola ------- On 7 Jul 2015 08:39, "Lars Helge Ă˜verland" <larshe...@gmail.com> wrote:
> Hi, > > quick summary from California trip. Jan and I went on a 3 day "expert > meeting" at google. First part was training on the earth engine platform > <https://earthengine.google.org/#intro>. This is a cloud computational > platform that makes available a ton of satellite images e.g. from the > landsat <http://landsat.gsfc.nasa.gov/> program and allows you to do > analysis like reducing, aggregating, filtering and combining multiple > images into layers on google data centers. Lots of researches from US and > European agencies and universities that made presentations on how they use > it. > > Second part was a discussions around how this engine could be more useful > for researches and "tool makers". Google has committed to using 1% of their > resources for "good". So far the earth engine has been used mostly for > forestry / deforestation. They now want to apply it within health. The most > typical use-case seems to be mapping of risk of malaria and other epidemic > prone diseases. We met engineers from the Google maps, earth, earth engine > teams who wanted feedback on which features would be useful in the health > domain. We also got to present - it was cool to present DHIS 2 in the > middle of Googleplex ;) > > In our group there was people from health metrics and evaluation > <http://www.healthdata.org/>, UCSF <https://www.ucsf.edu/>, Gates found, > CHAI, Oxford uni, RTI, Carter center > <http://www.cartercenter.org/index.html>, Uni of Pittsburgh > <http://www.pitt.edu/>. There was actually lots of talk of DHIS 2, many > people knew about it and it seems Google might develop a DHIS 2-compatible > import tool for the earth engine. > > Last day we met with Hugh Sturrock, Adam Bennet, Roly Gosling at UCSF > (very nice people). We will now work together on an app for mapping of > malaria risk, probably in zim. The idea is interesting - it will detect > malaria risk based on rainfall, elevation, vegetation, moisture (this data > can be derived from satellite images or come from other data sets in the > earth engine), then overlay it with household visit data collected using > the new DHIS 2 tracker android app (data on house spraying, bednets, > prophylaxis). This should tell you exactly which areas are at risk, which > houses have not yet been sprayed in last x months, and hence where you need > to go next. UCSF will hire vizzuality <http://www.vizzuality.com/> to do > the app coding. This means we need to feed data into earth engine so google > will support on that end. Jan and I have discussed to integrate earth > engine satellite images directly as a layer in GIS as well. > > There is still an "if" in that UCSF must get their funding request > approved by gates, but otherwise this looks pretty promising. > > Lars > > -- > Mailing list: https://launchpad.net/~dhis2-devs-core > Post to : dhis2-devs-core@lists.launchpad.net > Unsubscribe : https://launchpad.net/~dhis2-devs-core > More help : https://help.launchpad.net/ListHelp > >
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