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2. Google Earth - Wikipedia

   en.wikipedia.org/wiki/Google_Earth

   Google Earth is a web and computer program that renders a 3D representation of Earth based primarily on satellite imagery.The program maps the Earth by superimposing satellite images, aerial photography, and GIS data onto a 3D globe, allowing users to see cities and landscapes from various angles.

3. Google App Engine - Wikipedia

   en.wikipedia.org/wiki/Google_App_Engine

   Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications. Applications are sandboxed and run across multiple Google-managed servers. [ 2 ]

4. Geographic information system software - Wikipedia

   en.wikipedia.org/wiki/Geographic_information...

   Google Earth#Google_Earth_Engine; Provides algorithms and a large catalog of public data for global scale spatial computation. Planetary Computer; Microsoft's system for global scale spatial computation. Mapbox – Provider of custom online maps for websites [22] MapTiler – Provider of customizable maps for applications and websites. [23]

5. Brian McClendon - Wikipedia

   en.wikipedia.org/wiki/Brian_McClendon

   Brian A McClendon (born 1964) is an American software executive, engineer, and inventor. [1] He was a co-founder and angel investor in Keyhole, Inc., a geospatial data visualization company that was purchased by Google in 2004 [2] [3] to produce Google Earth.

6. Comparison of web map services - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_web_map_services

   Google Earth, BMW Assist, Tesla Navigation Windows 8/10, Windows Phone 7/8/10, Microsoft Office (Access, Outlook, Excel – Power View, Power Maps, Power BI), Microsoft SQL Reporting Services, Microsoft Dynamic CRM, Microsoft SharePoint, Microsoft Cortana, Bing Weather, Microsoft Research WorldWide Telescope, AutoCad, ESRI ArcGIS

7. Rebecca Moore (scientist) - Wikipedia

   en.wikipedia.org/wiki/Rebecca_Moore_(scientist)

   The computer power to fully analyze it was provided by Moore and Google Earth Engine. For the release of Google Earth Engine in 2010, Moore, Hansen, and CONAFOR the Mexican government agency, processed 53,000 images in 15,000 computer hours to create the highest resolution forest and water map of Mexico ever.