Students simulate the process of remote sensing by using common materials to represent Earth’s different ground coverings and a light meter to represent satellite instruments. The concept of albedo and its importance in Earth’s radiation budget... (View More) are introduced. The lesson uses the 5E instructional model and is part of the book, "Tour of the Electromagnetic Spectrum." (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 worksheet introduces students to the Aura satellite and its Ozone Monitoring Instrument (OMI). Students are asked to visit the Aura website and examine OMI data visualizations to learn about emissions of atmospheric gases such as sulfur... (View More) dioxide, nitrogen oxide and nitrogen dioxide. Students gain experience interpreting OMI data visualizations and are asked to consider implications for climate and human health. (View Less)

In this data analysis activity, Students will use NASA satellite data to study temperature and snow-ice coverage in the South Beaufort Sea, Alaska. The data can be used to correlate with USGS ground tracking of polar bears, and to relate this to... (View More) global change, sea ice changes, and polar bear migration. The lesson includes step-by-step instructions for use of the MY NASA DATA Live Access Server (LAS), guiding students through selection of a data set from a location of their choice, importing the data into a spreadsheet, creating graphs, and analyzing data plots. The lesson provides detailed procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. Designed for student use, MY NASA DATA LAS samples micro datasets from large scientific data archives, and provides structured investigations engaging students in exploration of real data to answer real world questions. (View Less)

In this problem-based learning activity, students assume roles as senior science advisors for the Louisiana Environmental Agency. Student groups are assigned to the atmosphere, biosphere, lithosphere or hydrosphere and investigate the impacts of a... (View More) recent hurricane in each sphere. Step-by-step instructions for use of the MY NASA DATA Live Access Server (LAS) guide students through selecting a data set, importing the data into a spreadsheet, creating graphs, and analyzing data plots. The lesson provides detailed procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. Designed for student use, MY NASA DATA LAS samples micro datasets from large scientific data archives, and provides structured investigations engaging students in exploration of real data to answer real world questions. (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 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)

Through an analysis of data sets on four parameters - sea ice totals, sea surface temperatures, near surface temperatures and surface type - students must decide whether the Arctic is experiencing climate change and predict any potential effects on... (View More) the rest of the planet. The activity in this lesson involves card sorting, a technique in which index cards, each containing content or diagrams, are grouped according to unifying concepts. The cards in this lesson contain graphs that students have downloaded, summaries they have written, and questions they have derived from the lesson. The graphs used in this activity show satellite data sets for a location above the Arctic Circle. Students will analyze and group the cards and will then write a conclusion in which they explain the connection between the four parameters, and relate them back to climate change. 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)

Correlations between sea surface temperatures and the frequency and intensity of hurricanes are investigated in this lesson. The activity focuses on six named hurricanes that occurred between 1999 and 2009. Satellite data on those hurricanes, along... (View More) with corresponding sea surface temperature data, will be downloaded and plotted. Students will analyze that data for evidential links, hypothesize about the possible effect on hurricanes of continual ocean temperature increases, and predict related implications for residents of coastal areas. 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, and an online glossary. (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)