Grade Level: 3-5,
6-8
Students will analyze a pie chart (circle graph) showing the distribution of different parts of the Earth system's absorption and reflection of energy.
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Grade Level: 3-5,
6-8,
9-12
The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.
NASA Worldview is a free online visualization tool that is a great launchpad for learners who are new (or veteran) users of satellite data.
Grade Level: 3-5,
6-8,
9-12
The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.
Grade Level: 3-5,
6-8,
9-12
The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner determine relationships among variables.
Grade Level: 3-5,
6-8,
9-12
The Earth System Satellite Images, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships for a specific variable, identify patterns, and determine relationships among variables over one year.
Grade Level: 3-5,
6-8,
9-12
NASA visualizers take data – numbers, codes – and turn them into animations people can see and quickly understand.
Grade Level: 3-5,
6-8,
9-12
The activities in this guide will help students understand variations in environmental parameters by examining connections among different phenomena measured on local, regional and global scales.
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.
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.
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