This set of three videos illustrates how math is used in satellite data analysis. The videos feature NASA senior climate scientist Claire Parkinson. Parkinson explains how the Arctic and Antarctic sea ice covers are measured from satellite data and... (View More) how math is used to determine trends in the data. In the first video, she leads viewers from satellite data collection through obtaining a time series of monthly average sea ice extents for November 1978 – December 2012, for the Arctic and Antarctic. 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. (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)

This chapter describes the technique of preparing GIS-ready data and shows how to map that data and conduct basic analyses using a geographic information system (GIS). First, the user will download and format near real-time and historical earthquake... (View More) data from the USGS. Using latitude and longitude fields, they will then plot these data in a GIS. Next, they will analyze patterns by querying records and overlaying datasets. Finally, they will examine earthquake distributions, monitor current earthquake activity, and try to predict where the next big earthquake will occur on Earth. Includes teaching notes, step-by-step instructions, case study, tools and data, and going further. 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)

This chapter walks users through a technique for documenting change in before-and-after sets of satellite images. The technique can be used for any set of time-series images that are spatially registered to show the exact same area at the same... (View More) scale. In the chapter, users examine three Landsat images of the Pearl River delta in southeastern China. In these images, users observe changes in land use, then identify and outline areas of new land that were created by dredging sediments from the river bottom. The final product is an annotated image that highlights new land and indicates when it was created. The 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)

This activity's storyline is built around the real-life case study of Dr. Walt Meier, a Sea Ice Scientist from Boulder, Colorado. In the fictional story, the students of Churchill become concerned about wildlife in their region because polar bears... (View More) have become a nuisance in the town. According to the local elders, the sea ice patterns have changed. The students turn to Dr. Meier for his expertise in sea ice analysis. Dr. Meier then instructs the students in the use of ImageJ and guides them through the research process. 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)

In this self-paced, interactive tutorial, learners become familiar with basic concepts related to remote sensing of the Earth by satellites. Geosynchronous Earth Orbit (GEO) and Low Earth Orbit (LEO) satellites, as well as different types of onboard... (View More) sensors, are examined for their applicability to various real-world data collection and research applications. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Principles in Remote Sensing. (Note: requires Java plug-in). (View Less)

This self-paced, interactive tutorial explores the use of remote sensing to monitor the weather and climate of the Great Lakes. Learners apply NASA satellite data as they examine the on-the-ground impact of seasonal changes in weather, including the... (View More) movement of storm tracks, lake-effect and lake-enhanced weather events, and become more familiar with the weather and climate of the Great Lakes region. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the second of three modules in the tutorial, Great Lakes Weather and Climate. (Note: requires Java plug-in). (View Less)