On December 10, 2012 GeoEye participated in The White House Open Data for Development Conference - "Global Development Data Jam" - with White House CTO Todd Park. GeoEye's Andre Kearns teamed up with Mapbox to showcase our work for Water Wells For Africa. Learn more here: http://waterwellsforafrica.org/geoeye/
Thanks Eric and thanks Nat for the opportunity to share with the group today
First a little about GeoEyeWe’re a satellite companyWe deliver clear insight through our collection capabilityWe have 2 satellites in orbit and one launching in 2013We have an archive of 750 million sq. km of color imageryOur satellites collect close to 7.5 million km2 per month
We are also a Geospatial analytics companyWe have over 150 analysts around the globeCapabilities‒ Multi-Source Data Fusion‒ Characterizing Human Geography‒ Terrain Mobility and Line of Sight‒ Crisis Response Mapping‒ Predictive Models and AssessmentsFocus Areas ‒ Development & Humanitarian‒ Counter-Terrorism and Defense‒ Crime and Law Enforcement‒ Critical Infrastructure Protection‒ Stability & Crisis Support
Development is important to usWant to work with data to make the world a better placeOne of the development projects we recently was for water wells for Africa
They approached us about doing work in Phalombe District of Malawi andNeeded help determining how accessible a set of existing water wells were to the population thereAnd validate a set of proposed sites for new wellsWe did the analysis for them through our FoundationTraditionally deliver analysis in staticpowerpoint reports
Worked with the folks at Dev Seed to publish this case study to the webThis is the future of web publishing and open dataLet me quickly walk you through the case study
There are only three water wells in this areas of Malawi and all were over used and in poor working condition
So to recommend new well sites we started by creating a heat map on where people lived which would be an important factor in determining where to place new wells
Our analysis also needed to take into account the impact of rains during the wet season that caused flooding and restricts access to wells
We also did a least cost path analysis based on terrain to determine approximate travel times to existing wells basedThis analysis was based on the environment during the wet season which makes travel more difficult
So to determine new well locations we identified suitable areas – highlighted in green - based on an analysis of the factors we just covered – areas that are close to high population zones, that are accessible via trails and roads, and won’t be rendered inaccessible to these populations during the flood season
Based on this analysis we did an assessment of three potential well locations proposed by Water Wells for Africa based on the criteria that a single site support a minimum of 30 households and maximum of 400 households
This site provides water access to the most people
This site will draw the local population from the north and relieve an existing strained well
Actually we determined that this third site did not greatly improve accessibility or ease the burden to existing wells
So in addition to analyzing accessibility of existing wells and validating locations of new proposed wells, this analysis allowed us to propose that they conduct site surveys on some new locations they weren’t even consideringThis is the type of powerful analyses we’re starting to publish to an open data environment like the webOpens up new possibilities around making data and analysis more accessibleAvailable for downloadCollaborationThis is the future of analytic publishing
This is only the beginning; there’s so much more we can do to make a difference around the worldI look forward to working with our partners atDev Seed/Map box to continue to push this …and hopefully find opportunities to work with all of you as wellThank you