Using Predictive Mapping and Crowdsourced Data Mining to Help Solve Geospatial Problems Sam Birnbaum, Project Lead-GeoHIVE, Intelligence Analyst-Human Geography Information Surveys | DigitalGlobe Todd Bacastow, Director-Product Management | DigitalGlobe DigitalGlobe Proprietary and Business Confidential Capture Extract Analyze DigitalGlobe Proprietary and Business Confidential 2 Capture, Extract, Analyze at Scale Geospatial Analytics of Rapid Collection of Crowdsourced Feature Open Source to Find AOIs Highest Quality Imagery Extraction Utilize open sources to Leverage Constellation Rapidly extract features Identify Locations with to Quickly Collect and objects from High Risk of Conflict True 31cm Imagery DigitalGlobe imagery with <3m Accuracy DigitalGlobe Proprietary and Business Confidential 3 Capture DigitalGlobe Proprietary and Business Confidential 4 DG Imagery • 3 million km2 imaged daily • Spectral diversity allows ground material detection • Frequent revisit rates enables short-term change detection Global coverage over 30 days DigitalGlobe Proprietary and Business Confidential 5 Highest resolution commercially available. 1 m 70 cm 50 cm 30 cm DigitalGlobe Proprietary and Business Confidential 6 Providing the highest quality satellite imagery …with archive dating to 1999 and data continuity through 2025+ IKONOS® QuickBird® WorldView-1® GeoEye-1® WorldView-2® WorldView-3® WorldView-4® .82 meter .65 meter .50 meter .46 meter .46 meter .30 meter Launch resolution resolution resolution resolution resolution resolution scheduled 9 m CE90 23 m CE90 <4 m CE90 <3.5 m CE90 <3.5 m CE90 <3.0 m CE90 Fall 2016 CURRENTLY IMAGING IN ORBIT AVAILABLE VIA DIGITALGLOBE ARCHIVE DigitalGlobe Proprietary and Business Confidential 7 Human Geography Information Surveys (HGIS) Country-by-country collections of geospatial data layers that describe the physical and human fabric of our world. Millions of points of interest are downloaded from public sources, analyzed for accuracy, and overlaid on DG imagery along with demographic, humanitarian, ethnic affiliation, and current events data. Multidimensional Poverty Index Indonesia Ethnicity Liberia POI 26,052 km Roads 18,096 Conflict 545 Commercial 498 Medical Facilities 178 Religious DigitalGlobe Proprietary and Business Confidential 8 Extract DigitalGlobe Proprietary and Business Confidential 9 Unlocking Geospatial Big Data Extract information from imagery and other sources at scale… Factory GBDx Partner & Archive EcoSystem Open Source Content In-Work: Additional Commercial Imagery Sources To provide enriched information feeds at mission relevant speeds DigitalGlobe Proprietary and Business Confidential 10 Show me where…remote dwellings are located DigitalGlobe Proprietary and Business Confidential 11 Show me where…all the vehicles are DigitalGlobe Proprietary and Business Confidential 12 Show me where…all the new construction is New Construction DigitalGlobe Proprietary and Business Confidential 13 Q. What if a automated extraction falls short? How can we extract geospatial features at scale? A. Tomnod: a team of online users who “explore the Earth, solve real-world problems, and view amazing images of our changing planet”. DigitalGlobe » Overview DigitalGlobe Proprietary and Business Confidential 14 DigitalGlobe Proprietary and Business Confidential Tomnod community mapped damage and IDP camps DDigitalGlobeigitalGlobe PProprietaryroprietary aandnd BBusinessusiness CConfidentialonfidential Tomnod community mapped damage and IDP camps DigitalGlobe Proprietary and Business Confidential 61,000 TAGGERS 1,000,000 TAGS PLACED MILLION 5.8 MAP VIEWS Q. How can we extract geospatial features without a compelling “heart-strings” event? A. GeoHIVE: an open community of users who earn incentives by creating and validating geospatial data. GeoHIVE: A DigitalGlobe Community DigitalGlobe Proprietary and Business Confidential 18 How does GeoHIVE Work? DATA DELIVERY ? .gdb, .shp, .csv CUSTOMER RFI DG PRE-PRODUCTION GEOHIVE CAMPAIGN DG POST-PRODUCTION Define AOI and POI Type(s) Extract and Scrub POI from Download Feature Class, Open Sources, Download AOI QA/QC for Accuracy Imagery, Mask Irrelevant Areas Users Validate Extracted POI and Mechanical Turk Discover New Features Using Tomnod UI, which is hosted on Mechanical Turk Hosting environment for GeoHIVE and linked to Amazon Payments campaigns. Though payment amounts vary, regular users earn $8-12/hr. Amazon Payments System through which users receive compensation. GeoHIVE: A DigitalGlobe Community DigitalGlobe Proprietary and Business Confidential 19 Q. How can we prevent submission of false data? Redundancy (“Coverage”) Refers to the number of users who must work on a task before it is “complete”. The greater the coverage level specified by DG, the greater the accuracy of the final dataset produced. Agreement (CrowdRank) CrowdRank measures agreement between a participant’s submissions and the submissions of the rest of the community. Instances of <80% agreement are reviewed manually. Vetting Generate metrics like features created against images reviewed. GeoHIVE: A DigitalGlobe Community DigitalGlobe Proprietary and Business Confidential 20 Who are GeoHIVE Participants? College/University Students Mechanical Turk Users Professionals GeoHIVE: A DigitalGlobe Community DigitalGlobe Proprietary and Business Confidential 21 Q. How can we scale non-heartstrings geospatial feature extraction when traditional incentives are insufficient? A. GeoHIVE Editor: a crowdsourcing platform which offers both traditional and non-traditional incentives. GeoHIVE: A DigitalGlobe Community DigitalGlobe Proprietary and Business Confidential 22 Analyze DigitalGlobe Proprietary and Business Confidential 23 An Integrated Approach to Analysis DigitalGlobe Analytics » Signature Analyst® Overview DigitalGlobe Proprietary and Business Confidential 24 Observational Analysis How far could I travel in 4 hours, Where and by how much does the Where can I land a helicopter? and what is the easiest path? terrain change? Where are people tweeting? How far will my radio signal travel? How far can I see from this point? Highest Pacific Lowest Ocean DigitalGlobe Proprietary and Business Confidential 25 Anticipatory “Predictive” Analysis Denotes # and # location of Boko Haram attacks (Jan 2013-May 2014). SA output denoting predicted attacks. Since 2012, 245 attacks occurred within the map area. 215, or 87%, took place in areas enumerated by SA. DigitalGlobe Proprietary and Business Confidential 26 .