Students observe monthly images of changing vegetation patterns, looking for seasonal changes occurring throughout 2017. These data can be used by students to develop their own models of change.

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.

Students analyze historic plant growth data (i.e., Peak Bloom dates) of Washington, D.C.’s famous cherry blossom trees, as well as atmospheric near surface temperatures as evidence for explaining the phenomena of earlier Peak Blooms in our nation’s capital.

Chemists study atomic and molecular structures and their interactions. 

Dr. Wickland works at NASA Headquarters in Washington, DC, where she oversees the planning and implementation of NASA's Terrestrial Ecology research program and leads its Carbon Cycle and Ecosystems Focus Area. She coordinates research programs in land cover and land use change, ocean biogeochemistry, terrestrial ecology, and biodiversity. 

Learn how Dr. Anyamba, Research Scientist at NASA Goddard Space Flight Center, Biospheric Sciences Laboratory explore how Earth's Biosphere and Geosphere respond to climate variability.

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.

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.

Dr. Tom Loveland is a research geographer at EROS and director of the USGS Land Cover Institute. He has been engaged in research on the use of remote sensing for land use and land cover investigations for over 25 years and has conducted studies that have spanned local to global scales. He was among the first to create continental and global-scale land cover data sets derived from remotely sensed imagery.

Explore and connect to the GLOBE Air Quality protocol bundle.