![]() ![]() Department of Energy (DOE) was impressed by the technology at a geographic information systems (GIS) conference. In 2005, shortly after the release of World Wind, the U.S. Originally developed under NASA’s Learning Technologies program as a tool to engage and inspire students, World Wind aspired to help NASA move 3D visualization of NASA data into the classroom, using videogame-like virtual globes of Earth, Moon, Venus, Mars, and Jupiter. For a deeper look at World Wind, scan this code. World Wind includes the cloud-free, true-color images of Earth called “Blue Marble: Next Generation,” one of which is pictured here. NASA’s World Wind geospatial visualization technology allows users to zoom from satellite altitude to any place on Earth. To visualize this data and make it accessible, in 2002 Hogan and his colleagues at Ames Research Center started building a software program called World Wind. After dozens of Earth-observing satellite launches and missions to other planets, NASA has accumulated an unmatched amount of planetary science information, including satellite imagery, terrain information, and climate data. Join our WorldWind Community Edition contributors team.“Who has more satellite data than NASA?” asks Patrick Hogan. More detailed about the history of the project development see on NASA hackathon web page: JVM library version is still work in progress… Help us to release it faster!Īlso we are happy to announce, that our project take part in NASA International Space Apps challenge this year in nomination “Earth Data Analysis Developers Wanted!”. It can trace line of sight in real-time, plus it has build-it mil-std-2525 tactical graphics support. WorldWind Kotlin SDK supports rendering of placemarks, lines, polygons, ellipses on 3D space or on surface. ![]() ![]() There is also a possibility to display any surface image as a map. We have also created a special OpenGL wrapper named KotlinGL (KGL) to provide an abstraction over WebGL, OpenGL ES, JOGL and LWJGL layers inside the library.Īs a map source you can use any Web Mercator maps (like OpenTopoMap, OpenStreetMap, GoogleMaps, WikiMapia, Yandex and other), plus famous elevation data sources such as SRTM, ASTER, ALOS, GEBCO and also servers which work using WMS, WMTS or WCS protocols.
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