Joshua Stevens,Lead for Data Visualization for NASA Earth Observatory at NASA Goddard Space Flight Center. Learn how he translates data from NASA missions and instruments into intuitive maps, charts and graphics which meet high quality standards and are consistent with current research.
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Be a Scientist: The GLOBE Program encourages you to use GLOBE data to help answer questions about how the environment works. Through research projects, you can answer your own science questions by creating hypotheses, analyzing data, drawing conclusions, and sharing your results. Scientific projects that you conduct and that include the use of GLOBE data or protocols can be submitted by your teacher for publication on this GLOBE website. By sharing your findings with the rest of the world you are completing the scientific process.
NASA Worldview is a free online visualization tool that is a great launchpad for learners who are new (or veteran) users of satellite data.
A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.
Geospatial Information Scientists and Technologists research geospatial data or develop geospatial technologies. Geospatial data is data that has a geographic component associated with it, such as coordinates or an address, and geospatial technologies are the technologies used to collect and analyze geospatial data.
Environmental engineers use the basis of engineering, soil science, biology, and chemistry to develop solutions to problems in the environment. Some of their efforts involve recycling, waste disposal, public health, water and air pollution control. Many are engaged in solving practical, yet global issues such as unsafe drinking water, climate change, and environmental sustainability.
This video is a resource that can be used alongside any activity that involves creating and developing questions. While the video focuses on questions about trees, the basic principles are necessary for asking scientific questions.
This video provides tips for teachers on helping students make sense of data to help them understand and work with data. It is based on the work of Kristin Hunter-Thomson of Dataspire.org and uses data from the My NASA Data Earth System Data Explorer.
This lesson walks students through the use of Landsat false-color imagery and identification of different land cover features using these as 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.