NeMO-Net
NeMO-Net is an intelligent, space-aged iOS app, where players help NASA classify coral reefs by painting 3D and 2D images. Data from the game is fed toNASA NEMO-NET，第一个用于全球珊瑚礁评估的神经多模式观察和训练网络。
TheNEMO-NET应用程序was released on April 11th and since then nearly 11,000 images have been classified. Data from the game is analyzed by NASA’s Pleiades supercomputer so now YOU can help to classify the health of coral reefs around the world.
要求新玩家从最热闹的随机名称生成器中选择一个用户名，然后进行了有关导航其新3D世界的培训课程。您会学习新颖的技能，例如3D绘画，以对包括珊瑚，藻类，底物和无脊椎动物在内的底栖元素进行分类。
As you move through the game new genera of coral are introduced, and badges are rewarded for your contributions. Users can also rate the classifications of other players and level up as they explore and classify coral reefs and other shallow marine environments from all over the world.
Fluid Lensing
Game data are used to train low-resolution data from NASA’s Earth Observing System, to determine coral reef ecosystem makeup globally at an unprecedented scale. Virtual classification is made possible with advanced流体镜头, a technique capable of removing ocean wave distortion.
珊瑚reefs remain misrepresented by low-resolution Satalite date because of refractive distortion from ocean waves, and remoteness. Machine learning classification of coral reefs using NASA液体mm-scale 3D data characterizes coral reef percent living cover, morphology type, and species breakdown at the mm, cm, and meter scales.
At a time when coral reefs are experiencing unprecedented anthropogenic pressures, ocean acidification, and sea surface temperature rise, it is now more important than ever to expand our global assessments of coral reefs.
The game is only available on iOS and Mac for now and can be downloaded from the应用商店.
