At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight. Data visualizers develop data-driven images, maps, and visualizations from information collected by Earth-observing satellites, airborne missions, and ground measurements. Visualizations allow us to explore data, phenomena and behavior; they are particularly effective for showing large scales of time and space, and "invisible" processes (e.g. flows of energy and matter) as integral parts of the models.
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This video addresses the following question: "We know that there are a number of ways that data can be visualized. Would you please describe your process for looking at the same data as represented by different graph types and how this helps inform your meaning making from the data?"
This video addresses the following question: "As you think about exploring the data that you have collected, what are the approaches that you use to organize your data and/or process your data before you make meaning from the data?"
This activity is one of a series in the collection, The Potential Consequences of Climate Variability and Change activities.
Students explore positive feedback effects of changing albedo from melting Arctic sea ice.
In this activity, students will learn about sea ice and land ice. They will observe ice melting on a solid surface near a body of water and ice melting in a body of water.
Discover how GLOBE supports hands-on science for locally relevant learning which is also put into a global perspective.
Christy Hansen is the project manager on an airborne campaign for Earth science called Operation IceBridge. IceBridge teams are all over the country. We have scientists, instrument managers, we have a data center, we have aircraft offices all over. This project flies up to nine different geophysical instruments installed on the aircraft to collect data on the changing ice sheets, the sea ice and the glaciers.
Find GLOBE resources which are connected to My NASA Data cryosphere phenomena. These include campaigns, eTraining and how to find related student projects.
Remote sensing scientists use sensors to analyze data and solve regional, national and global concerns. For instance, natural resource management, urban planning, and climate and weather prediction are applications of remote sensing. Many scientists develop new sensor systems, analytical techniques, or new applications for existing systems.