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The biosphere- that part of Earth's land, water and atmosphere that supports life- is the focus of this GLOBE eTraining program module. Protocols for classifying land cover, performing biometric field studies and measuring green-up and green-down... (View More) are explained. In addition, each protocol module includes interactive digital field and lab experiences along with online assessments. Instructions for uploading observations to the GLOBE database as well as for using the GLOBE visualization system are provided. GLOBE eTraining provides the opportunity for new and experienced GLOBE users to complete science protocol training online. GLOBE (Global Learning and Observation to Benefit the Environment) is a worldwide, hands-on, K-12 school-based science education program. (View Less)
This is the second module in the Solar Dynamic Observatory (SDO) Project Suite curriculum. Each activity is self-directed by students or student teams and uses online videos, data from the SDO satellite and hands-on activities to explore, research... (View More) and build knowledge about how and why studying the Sun's electromagnetic energy and magnetic fields help scientists better understand the Sun's activity and space weather. Students build knowledge and vocabulary, apply or demonstrate learning through real world connections and create resources to use in investigations. Both a teacher and student guide is included with sequential instructions and embedded links to the needed videos, tutorials and internet resources. In Activity 2A: The Sun and the EM Spectrum students learn how SDO uses key parts of the Sun's electromagnetic spectrum (EMS) to research regions of the Sun, create an interactive foldable to describe the different wavebands of the EMS, then use real-time SDO image data and the Helioviewer online tool to explore the Sun's regional activity. Tutorials for using Helioviewer and making the EMS foldable are included. Activity 2B: Solar activity and Magnetism has students use information in online videos and slide presentations to demonstrate concepts of magnetism and the relationship between the Sun's variable magnetic fields and sunspots. Activity 3B: Solar Research in Action! Build a Spectroscope has students create a spectroscope to observe the different wavebands of visible light, demonstrate how the Sun emits varying EMS energies, and explain how this information helps scientists understand the composition and activity of both our nearest star, and other stars in the universe. A computer for student-teams and a connection to the Internet are needed to complete this module. See related and supplementary resources for link to full curriculum. The appendix includes an alignment to the Next Generation Science Standards (NGSS). (View Less)
This is the third module in the Solar Dynamic Observatory (SDO) Project Suite curriculum. Each activity is self-directed by students or student teams and utilizes online videos, data from the SDO satellite and hands-on activities to explore,... (View More) research and build knowledge about how the Sun's varying activity impacts Earth and space weather. Each activity provides opportunities to build knowledge and vocabulary, apply or demonstrate learning through real world connections and create resources to use in investigations. Both a teacher and student guide are included with sequential instructions and embedded links to the needed videos, tutorials and internet resources. In Activity 3A: Sun-Earth Interactions, students gather information from online videos and create a 3D model to demonstrate the relationship to Earth's place in space and the affect of Earth's axial tilt on our seasons, then film a short video explaining the reasons for the seasons. Activity 3B: Space Weather, students use online videos to gather information on what space weather is, and its causes and effects, to create a concept map. They then use real-time SDO data to forecast space weather. Activity 3C: Solar Research in Action! Make a Magnetometer has students view information in online videos about to Earth's magnetosphere and the impacts of space weather, then create a magnetometer to detect and visualize changes in the Earth's magnetic fields to monitor solar storm impacts. A computer for student-teams and access to the internet are needed for this module. See related and supplementary resources for link to full curriculum. The appendix includes an alignment to the Next Generation Science Standards (NGSS). (View Less)
This set of three videos illustrates how math is used in satellite data analysis. NASA climate scientist Claire Parkinson explains how the Arctic and Antarctic sea ice covers are measured from satellite data and how math is used to determine trends... (View More) in the data. In the first video, she leads viewers from satellite data collection through obtaining a time series of monthly Arctic and Antarctic average sea ice extents for November 1978-December 2016. In the second video, she begins with the time series from the first video, removes the seasonal cycle by calculating yearly averages, and proceeds to calculate the slopes of the lines to get trends in the data, revealing decreasing sea ice coverage in the Arctic and increasing sea ice coverage in the Antarctic. In the third video, she uses a more advanced technique to remove the seasonal cycle and shows that the trends are close to the same, whichever method is used. She emphasizes the power of math and that the techniques shown for satellite sea ice data can also be applied to a wide range of data sets. Note: See Related & Supplemental Resources for the maps and data files (1978-2016) that will allow you to do the calculations shown in the video. These also include data for different regions of the Arctic and Antarctic, enabling learners to do additional calculations beyond those shown in the videos. (View Less)
This chapter describes how to set a scale and measure distances and areas on satellite images. Using ImageJ, a freely available image analysis program that runs on most operating systems, users set the spatial calibration of an image, then select... (View More) and measure distances and areas on it. The measurement results are reported in real-world units. The technique is most useful and accurate for nadir view (straight down) images. In this chapter, users examine satellite images of the Aral Sea, which has shrunk dramatically since 1960 because the rivers that flow into it have been tapped for irrigation. Users access satellite images of the region, then set a scale and measure the width of the sea each year. On another set of images, they highlight areas that represent water and measure them to see how these areas of the sea changed. This chapter is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)
In this activity, users download and graph modeled climate data to explore variability in climate change. Most people know that climate changes are predicted over the next hundred years, but they may not be aware that these changes are likely to... (View More) vary from region to region. Using data from the University of New Hampshire's EOS-WEBSTER, a digital library of Earth Science data, users will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for each of these 5 states: New York, Georgia, Colorado, Minnesota, and California. Data will span the years 2000 through 2100. Users will import the data into Excel and analyze it to see what, if any, regional variability exists. Finally, they will download data for their own state, compare these results with the results from the other 5 states and use their results to answer questions related to climate change. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)
In this chapter, students will explore relationships between air quality and population density using the image visualization tool, Google Earth. You will learn how to download NO2 data and analyze them to develop a conceptual understanding of how... (View More) population and topography can influence the air quality of a region. Once you have learned the techniques, you are encouraged to explore seasonal changes in nitrogen dioxide concentrations at other locations. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)
El Niño impacts sea surface height, sea surface temperature and wind vectors. In this lesson, data for each of those three characteristics from the 1997-98 El Niño event will be analyzed and compared. Students will work in teams of 3 throughout... (View More) the activity, initially doing a team analysis of a single characteristic, and then jig-sawing into other groups to share information. The lesson culminates in a series of questions, a written summary and a comparison to similar observations done by scientists. This lesson uses student- and citizen science-friendly microsets of authentic NASA Earth system science data from the MY NASA DATA project. It also includes related links, extensions, an online glossary, and a list of related AP Environmental Science topics. (View Less)
This self-paced, interactive tutorial enables learners to identify and measure iceberg size from remotely-sensed satellite images. Two techniques are explored: the geometric shape method, which provides a rapid rough estimate of area; and the pixel... (View More) count method, which employs special software to measure the size more accurately. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the second of three modules in the tutorial, Hunting Icebergs. (Note: requires Java plug-in) (View Less)
This self-paced, interactive tutorial guides learners through the decision-making process in locating data that will enable the identification of tabular icebergs, including: selecting the appropriate satellite orbit, and identifying the optimal... (View More) solar and infrared wavelength values to discriminate between water and ice in remotely-sensed images. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Hunting Icebergs. (Note: requires Java plug-in) (View Less)